11,882 results
Sales Manager, AI
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe is building the economic engine for AI – and it’s working. Today, 88% of the Forbes AI 50 are building on Stripe (and most of the remaining 12% are pre-monetization). The AI GTM team is focused on helping AI-native businesses monetize and scale. We're in a unique position—partnering with the world's most ambitious AI companies (like OpenAI, Anthropic, ElevenLabs, and NVIDIA) to help them grow. This is one of the fastest growing parts of the business, and we need more great people to help us continue to accelerate. What you'll do As a Sales Manager on the AI GTM team at Stripe, you will leverage your sales leadership and product expertise to drive growth through new and existing strategic AI customers. Reporting to the Chief Revenue Officer of AI, you will lead a team of Account Executives responsible for expanding Stripe's relationship with some of the most important AI companies in the world—across payments, billing, and beyond. You will be instrumental in leading in-depth product discussions with customers, developing consultative and solution-based sales strategies, and building deep knowledge of the AI industry and its unique monetization challenges. You will collaborate closely with Product, Marketing, Product Marketing, and User Operations teams to develop and execute against our go-to-market strategy. Responsibilities - Develop the long-term vision for a growing AI GTM team and scale day-to-day operations. - Lead and manage a team of Account Executives managing existing AI accounts (driving revenue expansion, product attach, and retention) and looking for new business opportunities. Establish strategic plans and objectives to drive growth across the AI GTM business line, guiding execution to KPIs. - Build and develop a high-performing team, fostering a strong culture of energized and engaged Stripes while investing in the growth and development of your team. Coach and guide the team in developing consultative and solution-based sales skills throughout the sales cycle. - Be accountable for driving revenue, increasing product attach rates, and growing existing clients at high rates. - Engage with Product, Marketing, and User Operations teams to influence our product roadmap (you are on the frontier!) and accelerate our growth trajectory for our AI industry users. - Serve as both an internal and customer-facing expert on Stripe's products, particularly as they apply to AI-native business models (usage-based billing, marketplace payments, embedded finance, agentic commerce). - Build strong relationships with customer executives (CEO, CFO, CTO) and serve as a trusted advisor on how Stripe can support their growth. - Create best practices and improve the business and customer engagement model. Who you are Sales leader. You are an adept sales leader, capable of engaging in business-level and technical conversations at multiple levels of the organization. You see value in competitive situations and enjoy working on products that require both deep product understanding and technical knowledge, especially for AI industry users. People developer. You are a strong people leader who builds high-performing teams through coaching, accountability, and culture. You're as comfortable working with clients as with internal stakeholders (including executives) and are excited to become an expert and share your knowledge. You possess an organized, self-starter mindset and excellent communication skills, with a track record for improving the processes and organizations around you. AI enthusiast. You have deep context in the AI industry and are energized by keeping up with new developments in the space. You bring a user-first mindset— you approach every customer interaction as a consultative partner rather than a transactional seller. Technically curious. You understand APIs, webhooks, and modern developer tools—and you can hold credible conversations with engineering leaders about how Stripe's infrastructure fits into their stack. Minimum requirements - 8+ years of sales leadership experience, launching and growing high-functioning sales teams/products. - 10+ years of experience in hyper-growth SaaS or technology environments across the AMER region. - Demonstrated success managing existing/growth customer portfolios and driving revenue expansion. - Proven ability to be a self-starter, capable of driving business results without significant supervision. - Ability to understand complex technical requirements and craft solutions across multiple stakeholders. - Deep understanding of AI industry dynamics, business models, and monetization strategies (usage-based pricing, API-first distribution, agentic commerce). - Strong product acumen—ability to learn and articulate complex product capabilities, understand how they work technically, and connect them to user needs. - Excellent verbal and written communication skills, including strong presentation skills for in-person meetings with multiple stakeholders. - An enthusiastic "roll up your sleeves" mentality. - Proven ability to lead complex negotiations involving bespoke agreements with commercial and enterprise businesses. Preferred qualifications - Industry experience in payments, financial infrastructure, developer tools, or AI/ML platforms. - Existing relationships within the AI ecosystem (AI labs, AI-native SaaS companies, developer platforms). - Experience selling complex platform solutions involving multiple products. - Prior experience at a growth-stage software company or a leading payments/fintech company. - Familiarity with Stripe's product suite and how AI companies leverage financial infrastructure to scale.
Deal Desk Analyst - Americas
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're scaling our Deal Desk function and looking for a high-ownership IC to join the Americas team. You'll sit at the intersection of Sales, Legal, Finance, Product, and Business Operations, partnering closely with Americas sales leaders to structure and win the enterprise deals that form the backbone of our growth — and just as importantly, you'll help us systematize and scale how we get those deals done. About the role We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, complete with well-stocked libraries. This role requires five days a week in office. You'll be joining a small, high-ownership team operating in one of the fastest-moving markets in AI. The Deal S&O function is established and humming with deal volume — but we're growing fast enough that "established" doesn't mean "settled." Day-to-day, you'll be in the trenches on live deals, working through pricing negotiation and contract structure alongside sales leaders in real time. You'll also zoom out: scoping and shipping the strategic projects that take what's working today and make it work at 5x the volume — improving our pricing model, tightening approval workflows, scaling our contracting process, and building the sales enablement that lets reps move faster without losing the plot on commercial discipline. What you’ll do - Partner with Americas sales, legal, finance, and revenue operations to structure, negotiate, and close complex enterprise deals - Serve as a thought partner to sales reps on deal strategy: pricing, competitive positioning, negotiation approach, contract structure, executive engagement - Help evolve our pricing model and deal frameworks as the market and customer base shift — spotting trends across your deal flow, surfacing the patterns to finance and leadership, and driving the changes through - Lead cross-functional projects that systematize how we operate at scale — approval workflows, contracting playbooks, pricing guardrails, sales enablement materials, deal desk operating cadence - Improve the tools and processes we already have (Salesforce, Ironclad, our pricing infrastructure) by partnering with the GTM systems team — without needing to build them yourself - Balance a high-volume deal workload with longer-horizon strategic initiatives, managing competing priorities across multiple reps and deal cycles simultaneously You may be a fit if - You have 5–10 years of experience across consulting, investing, commercial strategy, deal desk, or a combination — and you've operated at a level where you owned outcomes, not just tasks - You've worked on enterprise B2B deals, ideally in SaaS or infrastructure, and have direct experience with $1M+ ACV contracts - You've operated in a high-volume deal environment and have a track record of scaling yourself — building processes, playbooks, and enablement so you're not the bottleneck - You're highly analytical — comfortable analyzing pricing, building ROI models in Excel, and grounding strategic recommendations in data - You have a point of view. You don't wait to be told what to think — you come with a perspective and know how to back it up - You operate with urgency, ownership, and very little hand-holding - You're based in or able to relocate to San Francisco or New York City
Workplace Lead
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to candidates based near our NYC office or those willing to relocate. We're looking for a Workplace Lead to own Runway's offices: where they are, how they get built and how they feel to work in. Today that means New York, San Francisco, Seattle, London, Paris, & Tel Aviv. Over the next few years it means more room in those cities and new locations elsewhere. You'll handle the real estate and the buildouts, what it costs to run each site, and the events and visits that happen in these rooms. You'll work with cross functional partners including People and Finance on how much space we need and when, and with IT and Security on what it takes to make a site usable. Expect to be close to the work itself, not only the strategy behind it. Things are always moving quickly at Runway, so this role calls for exceptional organization and the judgment to know what needs a plan and what just needs doing. WHAT YOU’LL DO - Handle the daily operation of each office: cleaning, repairs, food, supplies, access control, and health and safety - Own the workplace budget and the reporting behind it, from rent and capex through daily operating spend - Run Runway's onsite programming, including all-hands, offsites, team events, screenings and visits from partners and press - Decide how much space Runway needs in each city and by when, working from hiring forecasts with People and Finance - Take new offices from shortlist to signed lease, working with brokers, Legal and Finance on terms - Manage design, construction and furniture projects to move-in dates that hold - Work with IT and Security on network, AV and physical access ahead of each opening - Set up local vendors, services and compliance in markets where Runway hasn't operated before - Travel occasionally to Runway's other offices, usually around an opening or a large onsite event - Decide what good looks like for a Runway office, then keep checking each one against it, from the perspective of both the people working there and the people visiting WHAT YOU’LL NEED - 7+ years in corporate real estate, facilities or workplace operations - Deep project management experience across construction schedules, permitting and short-notice logistics - Hands-on lease and vendor contract experience, and a budget you personally signed off on - Cross-functional experience with teams such as Finance, People, IT and Security - At least one office you took from first site visit through opening day - International real estate, employment or compliance experience is a plus - Comfort writing the process docs, service standards and vendor scorecards a workplace function depends on - Accountability for offices you don't sit in every day Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Product Marketing Manager, Advertising
ABOUT THE TEAM OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. ABOUT THE ROLE We’re looking for a Product Marketing Manager, Advertising to bring together advertiser insights, market understanding, and product knowledge to shape positioning, inform product priorities, and deliver go-to-market initiatives that drive adoption and measurable business impact. You’ll work closely with Product, Engineering, Sales, and Partnerships to understand advertiser needs, translate complex AI capabilities into clear customer value, and bring new products and features to market. This role is ideal for someone who combines strategic thinking with hands-on execution, independently navigates ambiguity, and brings cross-functional partners together to deliver results. IN THIS ROLE YOU WILL: - Define the product and marketing strategy for a component of OpenAI’s advertising business in partnership with cross-functional partners - Develop a deep understanding of advertisers through customer research, market analysis, and competitive insights, identifying opportunities to improve positioning, adoption, and product-market fit. - Own positioning and messaging for your product area, translating complex capabilities into compelling narratives for different advertiser audiences and use cases. - Partner with Product and Engineering to bring advertiser needs and market insights into roadmap discussions and product decisions. - Develop and drive go-to-market plans for new products and features, owning marketing execution from planning through launch and ongoing adoption. - Create advertiser-facing content and sales enablement materials, including product narratives, sales decks, one-pagers, FAQs, and launch communications. - Partner with Sales, Partnerships, Data Science, and Analytics to define success metrics, assess launch and adoption performance, and turn findings into improvements. - Surface advertiser concerns and launch risks related to performance, safety, policy, and trust, working with the relevant teams to address them in launch plans and customer communications. - Align cross-functional partners around priorities, responsibilities, and timelines, making thoughtful tradeoffs and resolving blockers within your initiatives. - Build repeatable approaches to launches, messaging, and enablement, sharing learnings and mentoring peers to improve the team’s storytelling and execution. YOU MIGHT BE A GREAT FIT IF YOU… - Have experience independently developing product and marketing strategies and bringing products to market, particularly in advertising, marketing technology, platforms, or data and AI. - Have experience in structured problem solving environments including but not limited to strategy/management consulting, investment banking, corporate strategy and venture capital - Understand advertiser goals and the advertising ecosystem, including measurement, targeting and relevance, creative, auctions, and performance tradeoffs. - Can turn customer research and market insights into clear positioning, actionable go-to-market plans, and recommendations that inform product priorities. - Communicate clearly and persuasively, translating technical concepts into differentiated customer value for a range of audiences. - Use qualitative and quantitative evidence—including customer interviews, surveys, adoption data, and experiments—to make decisions and improve results. - Bring structured problem solving and strong judgment to ambiguous challenges, independently setting priorities and managing initiatives from strategy through execution. - Build effective partnerships across Product, Engineering, Sales, and other teams, influencing decisions and driving alignment without formal authority. - Enjoy improving how teams work, sharing your expertise, and helping peers strengthen their craft. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Account Executive, SLED (East)
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States. In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory.. We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As an Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations. - Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally. - Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas. - Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors. - Established regional network, including state and local departments and agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences - Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%). Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Software Engineer, Security Agents
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. KEY RESPONSIBILITIES As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: - Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment - Develop agent orchestration systems that help security practitioners automate repetitive security tasks - Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data - Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements - Ship production-ready agent capabilities that run efficiently in resource-constrained environments - Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fall short - Conduct security testing of both the agents you build and the platform that runs them. QUALIFICATIONS - 5+ years of software engineering experience with a track record of shipping user-facing security features - Strong Python development skills with significant production experience - Experience building or working with autonomous systems, AI agents, or intelligent automation - Solid understanding of security principles including session management, authentication, authorization, and secure coding practices - Ability to think about security at multiple layers: application security, agent behavior security, and infrastructure security - Comfortable working across the full stack and diving into unfamiliar codebases to understand and fix issues - Thrive in fast-paced environments where you can adapt to evolving priorities - Excited about the intersection of AI/ML and security engineering. WORKING LOCATION This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Principal RTL Design Engineer, IO & Memory Systems
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the role SambaNova is seeking a Principal Engineer to own the design, integration, and implementation of high-speed IO and memory subsystems within the DataScale® platform. This role is central to delivering reliable, high-performance AI systems at scale. You will drive these subsystems across the full product lifecycle, from architecture exploration and microarchitecture definition through RTL and integration of internal and third-party IP (PCIe, Ethernet , CXL, HBM, die-to-die). This is a hands-on role for an engineer with deep protocol and RTL expertise, who can operate in ambiguity and execute with high ownership. Responsibilities - Engage in architecture exploration with system and chip architects to define IO and memory subsystem direction - Drive feasibility studies and design trade-off analysis to meet PPA constraints - Own microarchitecture definition and specification for IO and memory subsystems - Deliver synthesizable, high-quality SystemVerilog RTL for assigned blocks against functionality, performance, and power targets - Run the front-end design flow end to end, covering lint, CDC/RDC, synthesis, timing constraint development, and design-for-test readiness - Partner with STA and physical design teams on timing closure, floorplanning, congestion analysis, and optimization at advanced process nodes - Work closely with verification and emulation teams to ensure design validation coverage and quality - Collaborate with software and firmware teams to ensure optimal end-to-end solutions - Drive cross-functional triage of complex functional and performance issues to root cause and closure - Apply engineering best practices including code review, testing, and refactoring - Improve design and integration methodology, reuse, and flow scalability Required Qualifications - MS in Electrical Engineering, Computer Science, or a related field - 7+ years of experience in ASIC design - Experience in logic design, microarchitecture, specification, SystemVerilog RTL design, and functional verification - Experience with power, performance, or area optimization - Experience with two or more on-chip or chip-to-chip protocols and interfaces such as AXI, APB, PCIe, Ethernet, or UCIe - Experience with memory subsystems such as HBM and CXL - Ability to evaluate and select vendor IP, and to read and distill complex IP and protocol specifications into actionable design requirements - Clear and effective communicator with a proactive, collaborative approach to problem-solving Preferred Qualifications - Experience taking one or more ASIC products from concept to silicon - Familiarity with emerging scale-up protocols (ESUN, SUE, UAL) and scale-out protocols such as Ultra Ethernet - Experience designing on-chip interconnect and traffic-management logic, including NoC fabrics, switches, arbiters, and quality-of-service or congestion control mechanisms - Knowledge of machine learning and hardware accelerator architectures Base Salary Range: Base Pay Range $180,000 - $255,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Software Engineering Intern (Summer 2027)
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI Example Projects: - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data Requirements: - A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Available for a Summer 2027 internship (May/June start dates) in San Francisco - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Computer Science/Software Engineering internship experience - Track record of shipping high-quality products and features - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Please reference the job posting's subtitle for where this position will be located. Nice to have: - Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects - Open source contributions or a portfolio of shipped side projects How we work: Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Strategic Account Executive Inference EMEA
About the Role We’re hiring a Strategic Account Executive (Inference) to own a portfolio of high-priority AI-native and enterprise accounts selling You’ll be responsible for generating pipeline, closing new business, and expanding customers across Together’s platform. You’ll work with technical teams, business leaders, and executives to understand their AI strategy and identify where Together can support production workloads, and also partner closely with Solutions, Engineering, and Research to run POC evaluations and move customers from initial use cases to broader deployments. This role requires experience managing complex sales cycles, technical fluency, and a track record of building pipeline and closing large deals. Responsibilities - Close deals and drive revenue: own the full sales cycle for strategic AI-native and enterprise accounts, from prospecting through close and expansion. - Manage and prioritize across multiple complex sales cycles simultaneously. Be able to keep scope defined, while also being flexible in dealing with new challenges and priorities. - Generate a strong pipeline, identifying high value customer segments/use cases and strategically positioning Together’s offerings. - Partner with Solutions Architecture, Research, and Engineering to design solutions/POCs and prove value across inference and post-training engagements. - Inform product needs by conveying customer needs, using these insights to enhance Together’s offering and market positioning. - Help improve Together’s sales process, positioning, and overall best practices. Requirements - 7+ years of B2B technology sales experience, including experience with strategic startup or enterprise accounts. - Must have 1-2 years having a track record of closing Inference Opportunities. - A track record of closing and expanding strategic, complex deals – especially with deep technical/commercial requirements requiring tailored solutions. - Technical and business fluency: ability to work effectively with both technical and business stakeholders, speaking with depth on technical ML/infrastructure topics while also connecting with business/C-level needs. - Ability to drive external and internal alignment and a “roll up your sleeves'' mentality to problem solving. Comfort working in a fast-moving environment where the product and market evolve rapidly month over month. - Ability to build and maintain lasting relationships over time with top strategic accounts – both from an executive and IC level, across technical and commercial orgs. - A passion and curiosity for AI infrastructure. Be on the frontlines of inference and post-training, and shape the trajectory and narrative moving forward. Preferred Qualifications - Experience selling to both AI-native companies and large enterprises - Experience with developer/AI/infra products preferred - Experience at a high-growth technology company About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Software Engineer - New Grad
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI Example Projects: - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data - Build a customer service RAG application that handles thousands of questions a day - Integrate a cutting-edge ML model that predicts churn into a customer's retention system Requirements: - A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Product/Software Engineering internship experience - Track record of shipping high-quality products and features at scale - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Nice to have: - Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects - Open source contributions or a portfolio of shipped side projects How we work: Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Forward Deployed Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities - Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. - Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. - Provide white glove deployment support for Anthropic products in enterprise environments. - Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. - Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. - Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. - Travel frequently (25-50%) to customer sites to build in person with customers. - Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have - 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply. - Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. - Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications - High agency with an ability to navigate ambiguity present in complex organizations. - High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. - Passion for advancing safe, beneficial AI systems through creative technical applications. - Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. - A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. - Experience with enterprise IT systems and/or AI deployment patterns is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Forward Deployment Engineer
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. SambaNova is hiring a Forward Deployed Engineer (FDE) for our SambaStack based product portfolio in our Customer Success Organization. Responsibilities: - Embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio - Architect and implement LLM-powered workflows — including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions — tailored to each customer's data, infrastructure, and business goals. - Optimize AI inference performance on SambaNova hardware; benchmark model throughput, latency, and accuracy against customer requirements and competitor baselines. - Troubleshoot and resolve production issues end-to-end across model, software, and hardware layers — acting as the first and last line of technical escalation in the field. - Translate customer needs into clear product requirements and engineering feedback; serve as the primary voice of field reality to SambaNova's Product and Engineering teams. - Partner with Account Executives and Solutions Engineers to shape technical sales strategy, scope engagements, and demonstrate platform differentiation during evaluations and proof-of-concepts. - Develop reusable accelerators, reference architectures, and internal playbooks that scale learnings from one deployment to many. - Present technical findings, architecture decisions, and roadmap input at customer executive briefings and internal forums; represent SambaNova at industry conferences and events. Qualifications: - 5+ years of hands-on engineering experience, with a strong record of shipping production AI/ML systems. - Deep expertise in GenAI application development: LLM orchestration, RAG, agentic frameworks (LangChain, LlamaIndex, DSPy), prompt engineering, and evaluation pipelines. - Strong foundations in ML fundamentals — model training, fine-tuning, inference optimization, quantization, and performance benchmarking. - Proficiency in Python (required); working knowledge of C++ or CUDA a strong plus for hardware-layer debugging. - Experience deploying AI workloads on cloud infrastructure (AWS, Azure, GCP) and familiarity with containerization, orchestration (Kubernetes, Docker), and MLOps tooling. - Comfortable engaging directly with customers: able to run technical discovery, set expectations, push back constructively, and present to executive and practitioner audiences alike. - Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience. - Willingness to travel up to 50% to customer sites — flexible based on engagement needs. Bonus qualifications: - Experience with AI accelerators or custom silicon (TPUs etc.) - CUDA / low-level GPU programming - Familiarity with VLLM / SGLang - Enterprise AI deployments in regulated industries Base Salary Range: Base Pay Range ¥10,500,000 - ¥13,000,000 JPY Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Senior/Principal Platform Engineer, ML Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Are - Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands. - Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices. - Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions. - A clear communicator who excels at both written and verbal communication across differing levels of technical detail. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field. You Will - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $260,300 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Marketing Operations & Analytics Manager, AI Simul...
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY The AI Simulation (AISim) division at SandboxAQ is redefining what’s possible at the frontiers of science through AI-powered simulation. Our AQChemSim and AQBioSim businesses apply quantitative AI and scientific computing to complex challenges across biopharma, chemicals, advanced materials, energy, and beyond.The AISim Marketing team brings the same quantitative rigor to go-to-market, building the systems, programs, and insights that enable the business to scale. This role will sit within Marketing while partnering across the broader company to establish a best-in-class marketing operations and analytics foundation. The AISim Marketing team are looking for a Marketing Operations & Analytics Manager to join our team. In this role, you will be responsible for building our marketing measurement and operations function from the ground up. This is a rare greenfield opportunity to shape how SandboxAQ measures marketing performance, connects marketing activity to pipeline and revenue, and uses data to make better investment decisions. You will own the strategy and execution across our martech stack, marketing analytics, attribution, lifecycle programs, and reporting infrastructure. Working closely with Marketing, RevOps, Sales, Finance, and Product, you will create the systems and insights that turn marketing data into trusted business intelligence. KEY RESPONSIBILITIES - Architect and evolve the martech stack: evaluate, select, implement, and optimize the tools required for marketing automation, data management, measurement, and BI; own the roadmap, integrations, vendor relationships, and reporting infrastructure. - Instrument campaigns and programs across the funnel and develop attribution models that connect marketing activity to pipeline, revenue, and ROI. - Build and maintain reporting that ranges from individual campaign performance to cross-channel and full-funnel views, enabling Marketing and cross-functional leadership to make data-driven investment decisions. - Build, test, and continuously improve nurture and lifecycle programs, including segmentation, triggers, lead scoring, and A/B testing. - Establish data hygiene standards, governance processes, and reliable integrations between marketing systems and Salesforce, while partnering with RevOps, Sales, Finance, and Product on shared definitions and measurement. ESSENTIAL SKILLS & EXPERIENCE - 4–7 years of experience in marketing operations, marketing analytics, RevOps, demand generation operations, or a related function, with hands-on ownership of reporting and campaign infrastructure. Bachelor’s degree in Marketing, Communications, Business, or a related field, or equivalent practical experience. - Hands-on Salesforce and marketing automation experience, including campaign structures, reporting, lifecycle management, and platforms such as Marketo, HubSpot, or Pardot. - Demonstrated experience building or improving multi-touch attribution, funnel measurement, lead scoring, pipeline reporting, and lead-to-revenue processes. - Proven ability to build in a greenfield or highly ambiguous environment, taking ownership from strategy through implementation rather than simply defining requirements. - Strong cross-functional communication skills, with the ability to translate go-to-market questions into clear metrics, reporting, and actionable recommendations for Marketing, RevOps, Sales, Finance, and Product. HIGHLY DESIRED SKILLS & EXPERIENCE - Experience using SQL to query, join, and analyze data across multiple sources. - Basic Python or scripting experience for automation, data wrangling, or workflow optimization. - Experience standing up or significantly evolving a BI platform such as Tableau, Looker, or Power BI and/or a data warehouse such as Snowflake or BigQuery. - Experience in B2B, enterprise, SaaS, or deep-tech marketing, particularly in complex or technical buying environments. - Demonstrated use of AI tools and automation to accelerate analysis, connect disparate data sources, improve workflows, and reduce manual marketing operations work. WHY JOIN US? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SANDBOXAQ WELCOMES ALL We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Senior Data Scientist
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The work: We're looking for a Senior Data Scientist to drive analytics across Ripple's product and business portfolio. You'll build the scientific frameworks teams use to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of your analysis. In this role, you'll partner with product and business leads to frame the right questions, bring rigor to how they're answered, and make sure decisions rest on a consistent, thorough foundation. You'll take on ambiguous, high-impact problems, build analyses and tooling others can reuse, and raise the analytical bar of the teams you work with. What you’ll do: - Serve as the data science lead for one or more product or business areas — Payments, Stablecoin, or Custody — applying strong methodology and tackling the hardest analytical problems in your domain. - Partner with product and business leads to shape roadmap decisions: which initiatives to prioritize, what success looks like, and how we'll measure it. - Build the scientific frameworks your teams rely on: product and network health metrics, causal inference approaches, and forecasting that holds up across institutional and developer surfaces. - Apply AI to accelerate analytics — using LLMs and agentic workflows to scale insight generation, automate routine analysis, and make data more self-serve for non-DS partners. - Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. - Define and communicate the metrics your teams and leadership run on, translating complex results into clear narratives for senior stakeholders. - Raise the bar for the DS function through mentorship and by modeling strong analytical practice for the data scientists around you. What you'll bring: - 7+ years in data science or quantitative analysis, with a track record of measurable impact on product and business decisions. - Experience as the data science partner to cross-functional teams, shaping roadmaps and helping leaders make better-informed calls. - Track record designing analytics and measurement frameworks that other teams adopt and build on. - Hands-on experience applying AI to accelerate analytics workflows — agentic analysis, AI-assisted insight generation, natural-language data interfaces. - Strong expertise in experimentation, causal inference, forecasting, and statistical modeling. - Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks). - Experience with FinTech, payments, crypto, or blockchain data is a strong plus. - Advanced degree (MS, PhD) in a quantitative field preferred. - Excellent communication skills — able to translate technical depth into clear narratives for senior stakeholders. For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $172,000 - $215,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Sr. Business Recruiter, Communications & Marketing
Perplexity is hiring an experienced Communications & Marketing Recruiter to help build the teams responsible for how our company and products are positioned, launched, explained, and experienced. You will lead searches across Communications, Marketing, Social, Editorial, Content, Events and related functions. These disciplines require different networks and different ways of evaluating talent. A strong product marketer may need deep technical fluency and launch experience. A communications leader may be judged by the quality of their counsel and writing. A growth marketer needs to show measurable business impact. This is a hands-on, full-cycle recruiting role. You will work closely with Communications and Marketing leaders to define each search, build the market, assess candidates, and close the people who can raise the quality of the work. You should be comfortable reading portfolios and writing samples, digging into campaign results, and separating individual contribution from team output. You will also help us use AI more effectively across recruiting. That means applying it to research, talent mapping, outreach, and workflow automation while maintaining a high bar for judgment and candidate experience. WHAT YOU’LL DO - Own full-cycle recruiting across the Communications & Marketing team. - Partner with Communications and Marketing leaders from intake through close. Turn early or ambiguous briefs into clear candidate profiles, interview plans, and sourcing strategies. - Build talent maps across technology companies, consumer brands, enterprise software, media organizations, and agencies. - Develop sourcing strategies specific to each discipline. Know where strong writers, communications operators, product marketers, and performance-minded marketers build their reputations. - Evaluate candidates beyond titles and company names. Review portfolios and writing samples, understand campaign context, clarify individual ownership, and probe for measurable results. - Help hiring teams build structured work-sample and portfolio reviews that reflect the actual work of each role. - Give leaders direct, useful reads on pipeline quality, candidate tradeoffs, compensation, and the state of the market. - Represent Perplexity clearly and credibly. Explain the product, the pace of the company, and the opportunity without relying on a generic AI pitch. - Run a thoughtful candidate process from first conversation through close, including senior candidates with competing offers and high expectations for the recruiting experience. - Use AI tools for research, sourcing, outreach, and recruiting operations. Identify where automation improves speed and where recruiter judgment needs to stay central. - Track pipeline health and search performance, identify gaps early, and adjust the strategy before a search stalls. WHAT YOU BRING - 7+ years of full-cycle recruiting experience, including meaningful depth across Communications and Marketing. - Experience hiring across several of the following areas: Product Marketing, Corporate or Executive Communications, Editorial, Content, Social Media, Brand, Growth, Demand Generation, Field Marketing, or Events. - A track record of partnering closely with senior Communications or Marketing leaders on important and difficult searches. - Strong functional judgment. You understand the differences between product marketing, communications, editorial, brand, growth, and field marketing, including which backgrounds transfer well between them. - Comfort evaluating portfolios, writing samples, campaign work, and business results alongside the hiring team. - Strong writing and communication skills. You can sharpen a search brief, write credible outreach, and communicate clearly with candidates and executives. - Experience recruiting in a high-growth startup or similarly fast-moving environment. - Hands-on experience using AI tools to improve sourcing, research, outreach, or recruiting workflows. - Fluency with modern ATS and recruiting systems. Experience with Ashby is preferred. - Sound judgment, attention to detail, and the willingness to push back when the market or candidate evidence does not support the original brief. - The ability to manage several distinct searches without giving candidates or hiring teams a generic experience.
Commercial Counsel/Senior Counsel
Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure and enable the business to move quickly without unacceptable risk. You’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, including infrastructure and compute procurement agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world. Responsibilities - Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements. - Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk Management. - Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales. - Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR). - Build and maintain scalable legal infrastructure—contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows)—to support high-volume deal flow and reduce friction in the contracting cycle. - Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements. - Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders. Qualifications - JD and in good standing with an active U.S. state bar membership. - At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements. - Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams. - Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements. - Prior experience with infrastructure agreements is strongly preferred, including compute procurement (e.g., GPU capacity and cloud/neocloud agreements, colocation, and related SLA and acceptance terms). - Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers. - Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization. - Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work. - Comfortable working in a fast-paced, dynamic environment. Title and Pay dependent on YOE (Counsel or Senior Counsel)
Software Engineer, Healthcare
About the Team OpenAI’s Healthcare team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that support patients, clinicians, and healthcare organizations while setting a high standard for deploying AI responsibly in a high-stakes domain. On the Healthcare team, we are building products and infrastructure that bring OpenAI’s capabilities into healthcare organizations and clinical workflows. We serve health care systems, insurance companies, and the broad range of healthcare IT companies. Our products include connecting ChatGPT with healthcare data and systems and building reliable enterprise experiences that can operate within complex security, privacy, compliance, and interoperability requirements. We work closely with product, research, design, security, privacy, GTM, and our healthcare customers to turn powerful AI capabilities into dependable products that clinicians and healthcare organizations use in their everyday work. About the Role We are looking for backend and full-stack software engineers to build the systems behind OpenAI’s healthcare products. You will work across backend services, APIs, data systems, integrations, and product surfaces to connect AI with healthcare workflows and enterprise data. You’ll tackle the technical challenges involved in making these systems secure, reliable, observable, and scalable enough for real-world healthcare environments. This is a product-engineering role for someone who can move between customer problems and complex system architecture, and who is comfortable owning ambiguous problems end-to-end. In this role, you will: - Design and build backend and full-stack systems powering OpenAI’s healthcare products. - Build services, APIs, and data pipelines that connect OpenAI products with healthcare systems and enterprise data. - Develop integrations with electronic health records and other healthcare data sources. - Design systems that meet demanding requirements around privacy, security, permissions, compliance, and data governance. - Own features and systems from early architecture and implementation through deployment, monitoring, and iteration. - Build reliable systems capable of handling complex data flows, partial failures, and evolving integration requirements. - Partner closely with product, research, security, privacy, GTM, and healthcare organizations to translate real-world workflows into scalable products. - Improve the reliability, performance, observability, and operational maturity of production healthcare systems. - Take ownership of ambiguous technical problems and drive them toward practical, durable solutions. You might thrive in this role if you: - Are a strong backend or full-stack engineer who enjoys building durable production systems. - Have 5+ years of experience writing maintainable, production-quality software. - Have strong experience with backend services, APIs, data systems, or distributed systems. - Are comfortable reasoning about system architecture, data models, authentication, permissions, and integration boundaries. - Have experience owning production systems at scale, including observability, testing, incident response, migrations, and rollout. - Can move between product requirements and technical architecture without losing ownership of either. - Operate with high agency and are comfortable taking ambiguous problems from definition through production. - Enjoy working directly with cross-functional partners and customers to understand complex workflows. - Care deeply about reliability, privacy, security, and correctness. - Are motivated by the opportunity to improve healthcare through AI. Nice to have: - Experience building enterprise SaaS products or platforms. - Experience with distributed systems, backend architecture, or large-scale data pipelines. - Experience building integrations with complex third-party systems or APIs. - Experience with authentication, identity, permissions, or enterprise security. - Experience working in regulated industries such as healthcare, finance, or enterprise infrastructure. - Experience with healthcare interoperability, EHR systems, or healthcare data standards. - Experience building HIPAA-compliant products or systems. - Experience building applied AI or conversational products. - Previous experience in healthcare or health technology. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
SMB Innovation Sales & Strategy Lead
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role The SMB Innovation Sales & Strategy Lead will identify, incubate and scale new revenue opportunities across OpenAI’s SMB Ads business. This foundational role combines strategic thinking, analytical rigor and hands-on execution to develop differentiated customer propositions, validate product opportunities and launch new go-to-market programs. Working across Product, Engineering, Sales, Marketing and Data Science, this person will lead initiatives from opportunity assessment through customer discovery, commercial pilots and transition to scale. The remit includes industry-specific opportunities, differentiated customer engagement models and innovative approaches across self-serve, sales-assisted and partner-led channels. The lead will also partner with SMB leadership and the Strategy & Operations team to inform the overall SMB strategy, contributing customer segmentation, commercial insights and evidence from incubation programs to broader planning and investment decisions. In This Role, You Will - Identify untapped opportunities across SMB segments, industries, and channels. Build business cases and launch pilots to validate customer demand and commercial potential. - Design new acquisition, activation, and expansion programs, including industry-specific and assisted-growth approaches. Partner with sales teams and outsourced sales providers to connect self-serve adoption with sales-assisted engagement. - Translate customer discovery into product opportunities. Partner with Product and Engineering to evaluate solutions and use customer and commercial evidence to guide investment. - Develop actionable SMB segmentation based on needs, business characteristics, advertising maturity, behavior, growth potential, and economics. Tailor acquisition, onboarding, service, and expansion across customer channels. - Own pilot delivery and measurement across incremental revenue, conversion, customer outcomes, and cost to serve. Scale successful programs through clear playbooks and ownership; refine or retire those that miss defined success criteria. - Shape SMB strategy and investment recommendations with leadership and Strategy & Operations, drawing on market analysis, segmentation, and pilot results. - Lead the innovation portfolio through clear roadmaps, performance measures, and decision milestones. Resolve delivery challenges and transition proven programs into ongoing operations. You Might Thrive in This Role If You - Bring approximately 8-10 years of experience in business incubation, growth, strategy, business operations, product strategy, or consulting, with substantial ownership of implementation and commercial results. - Understand SMB customers and self-serve business models, including how sales-assisted and partner-led approaches support growth. - Demonstrate success taking initiatives from customer insight and business case through pilot, launch, and measurable impact. - Apply strong analytical and financial modeling skills across opportunity sizing, unit economics, funnel analysis, and experimentation. - Translate customer segmentation into differentiated propositions, engagement models, and investment decisions. - Work directly with customers to uncover needs and shape product and go-to-market recommendations. - Lead cross-functional initiatives, align senior stakeholders, and resolve competing priorities. - Combine strategic analysis with hands-on customer discovery, pilot delivery, and program execution. - Exercise sound judgment in ambiguous environments and move effectively across complex organizations. Preferred Experience - Bring experience in advertising platforms, marketplaces, or SMB technology businesses. - Combine management consulting experience with substantial hands-on operating responsibility. - Draw on experience in both established technology companies and startups. - Build on experience with outsourced sales channels, sales-assisted growth, or industry-specific commercial programs. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Sales Development Leader - Tokyo
ABOUT THE TEAM OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. In Japan, we partner with leading organizations across industries including Financial Services, Manufacturing, Life Sciences, Retail, and Technology to build new AI-powered customer experiences, transform operations, and reimagine how work gets done. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Sales Development sits at the front of this motion—where technical curiosity becomes executive engagement and OpenAI’s enterprise relationships begin. ABOUT THE ROLE We are hiring a Sales Development Manager, Japan to lead and develop a team of SDRs supporting our enterprise business in Japan. Reporting into Sales Development leadership, this role will be responsible for coaching and developing a high-performing team focused on generating qualified pipeline and creating strategic opportunities across some of Japan’s largest and most influential organizations. This is a foundational front-line leadership role within OpenAI’s Japan GTM organization. You will help define how we engage prospective customers in the Japanese market, convert product and developer interest into enterprise conversations, and build repeatable outbound and inbound motions that reflect the unique dynamics of enterprise selling in Japan. You will partner closely with Japan Sales leadership, Account Directors, Marketing, Solutions Engineering, Partnerships, and Strategy & Operations, while connecting our Japan go-to-market motion with OpenAI’s broader regional and global strategy. IN THIS ROLE, YOU WILL - Lead, coach, and develop a team of SDRs supporting Large Enterprise, Strategic Accounts, and key industry verticals across Japan - Drive high-quality pipeline generation through outbound prospecting, inbound qualification, account-based motions, and product-led signals - Build an SDR motion tailored to the Japanese enterprise market, including thoughtful account mapping, stakeholder engagement, and long-term relationship development - Establish strong operational rigor around activity metrics, conversion rates, pipeline quality, and execution consistency - Partner closely with Account Directors and Japan sales leadership on territory planning, account prioritization, and strategic opportunity development - Help define scalable SDR playbooks across outbound, inbound, ABM, partner-sourced, and product-led motions - Coach SDRs on executive communication, discovery, account research, strategic prospecting, and engaging senior stakeholders within large Japanese enterprises - Build a high-performance, collaborative, and low-ego team culture focused on continuous improvement - Work cross-functionally with Marketing, Partnerships, Solutions Engineering, and Strategy & Operations to optimize pipeline generation efforts in Japan - Support the hiring, onboarding, and development of SDR talent as the Japan organization continues to scale - Bring insights from customers, prospects, and the Japanese market back into the broader APAC and global GTM organization YOU MAY THRIVE IN THIS ROLE IF YOU - Have 6–10+ years of experience in sales, business development, or GTM roles, with significant experience in the Japanese market - Bring experience managing SDRs, BDRs, or business development teams in enterprise SaaS, cloud, platform, or other technology businesses - Have a strong understanding of enterprise prospecting, pipeline generation, and outbound strategy in Japan - Understand how large Japanese enterprises evaluate and adopt new technologies, and can navigate complex organizations with multiple stakeholders and long decision-making processes - Are highly operational and data-driven, with experience managing metrics, conversion funnels, pipeline performance, and forecasting - Thrive in fast-paced, high-growth environments where processes are still being built and ambiguity is expected - Have experience partnering closely with Enterprise Sales teams on strategic account development - Are an exceptional coach who knows how to develop early-career talent into high-performing sales professionals - Can communicate effectively with both technical and executive stakeholders and adapt your communication style across Japanese and global teams - Lead with high standards, accountability, curiosity, and a low-ego mindset - Are excited about helping Japanese enterprises adopt transformative AI technologies - Are fluent in Japanese and able to operate effectively in English in a global business environment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
GTM Strategy & Operations
About the Team The GTM Strategy & Growth team drives the growth and evolution of our B2B business across products, customer segments, and routes to market. We partner closely with Product, Sales, Success, Data Science, Finance, and Marketing to define and execute go-to-market strategies for new product launches, commercialization models, customer growth initiatives, and market expansion opportunities. Our work sits at the intersection of product strategy, growth, and operations — shaping how we bring products to market, how we measure success, and how we scale adoption across customer segments. We operate across both strategic and highly operational domains, from defining long-term growth bets and commercial strategy to building launch plans, tracking performance, and driving cross-functional execution across the business. About the Role We’re looking for a strategic, hands-on individual contributor to join our GTM Strategy & Growth team and help shape how we grow and scale our B2B business across products, customer segments, and routes to market. This is a generalist role for someone who combines strong product intuition with thoughtful GTM strategy and can flex seamlessly between strategic thinking and operational execution. You’ll translate business priorities into clear growth strategies, operating plans, and cross-functional execution. Your work may span product launches, commercialization models, customer growth initiatives, market expansion, and the systems and processes that help the business scale. You should be highly analytical, comfortable working across a range of products and business problems, and experienced navigating complex cross-functional environments. Experience with technical or API-based products is valuable, but the most important qualities are strategic range, sound judgment, and the ability to turn customer, product, and market insights into practical recommendations and action. This role is based in San Francisco office, 4-5 times a week. In this role, you will: - Drive go-to-market strategy across products, customer segments, and routes to market, partnering closely with Product and GTM leaders to shape growth priorities and commercialization approaches. - Develop goals, launch success metrics, and operating KPIs for new initiatives, and monitor performance in partnership with Data Science and Analytics teams. - Develop growth strategies and strategic bets across new products, capabilities, customer motions, and market opportunities. - Develop customer segmentation frameworks and tailored strategies for different customer profiles, industries, and stages of adoption. - Partner with Product teams to provide structured customer feedback, market insights, and prioritization input that informs product roadmap decisions. - Collaborate with Pricing, Finance, and Product teams to develop commercial models, packaging, and monetization strategies, ensuring downstream GTM execution aligns with the broader commercial strategy. - Conduct market, competitive, and customer research to identify whitespace opportunities and inform strategic decision-making. - Partner cross-functionally with Sales, Customer Success, Marketing, Product, Finance, and Operations to align on priorities and execute against business goals. - Analyze business performance and identify opportunities to improve GTM strategy and operating plans based on data, customer insights, and market dynamics. You might thrive in this role if you: - Have experience across GTM strategy, business operations, management consulting, product strategy, finance, or related functions in high-growth technology environments. - Bring strong fluency in data and analytics, with the ability to define meaningful success metrics, interpret performance trends, and drive data-informed decision-making. - Have experience working across multiple products, customer segments, or routes to market; experience with technical or API-based products is a plus. - Possess a broad understanding of B2B GTM operating models across Sales, Success, Product, Marketing, and Operations. - Have demonstrated success contributing to complex cross-functional initiatives that span strategy, operations, and execution. - Are equally comfortable developing strategic recommendations, solving ambiguous problems, and diving into operational details to ensure strong execution. - Bring strong product intuition and the ability to partner with Product teams on roadmap prioritization, customer insights, and commercialization strategy. - Have experience developing or evaluating pricing, packaging, monetization, or broader commercial strategies in partnership with Product and Finance teams. - Thrive in ambiguous, fast-moving environments and can bring structure and clarity to complex business problems across a range of contexts. - Are a clear communicator and collaborative partner who can build alignment across technical and non-technical teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Engineering Manager, Growth & Revenue
ABOUT THE TEAM The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that power decisions across OpenAI. ABOUT THE ROLE We’re looking for a Data Engineering Manager to lead the Growth & Revenue data engineering team. This leader will own the data strategy and execution for the data subject areas spanning growth accounting across all product surfaces, product partnerships, checkout, billing, payments, revenue, and monetization, helping OpenAI understand how people adopt, engage with, and pay for our products. You will partner closely with several Data Science, Business, and Engineering partners to connect product behavior to trustworthy subscriber, payment, and revenue measurement. IN THIS ROLE, YOU WILL: - Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data subject areas. - Define the data strategy for all the data subject areas you own. - Deliver durable, well-modeled data products that connect product behavior, subscription state, checkout events, payment outcomes, and revenue. - Establish trusted metric definitions and data quality standards so product, growth, finance, and executive leaders can make fast, consistent decisions. - Partner with Data Science and Product teams to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics. - Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to financial truth and production billing systems. - Raise operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response. - Set a clear roadmap, make principled tradeoffs, and communicate progress and risk across technical and business stakeholders. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have deep experience leading and scaling data engineering teams in a fast-moving product or technology environment. - Bring strong technical judgment across modern data systems, including SQL, Python or Scala, Spark, orchestration, dimensional and event modeling, and lakehouse or warehouse architectures. - Have built trusted growth, lifecycle, attribution, subscription, billing, payments, revenue, or monetization data products at meaningful scale. - Can turn ambiguous business questions into durable data contracts, metric definitions, and technical roadmaps. - Build unusually strong partnerships with Data Science, Product, Finance, Financial Engineering, GTM, and Engineering. - Care deeply about data quality, privacy, security, and the operational health of systems used for consequential decisions. - Are an excellent people leader: you hire well, develop talent, give clear feedback, and create an environment where diverse perspectives do their best work. WHAT SUCCESS LOOKS LIKE - In the first 90 days, you have earned trust with the team and partners, clarified ownership boundaries, assessed the current data portfolio, and aligned on a prioritized roadmap. - Within a year, Growth & Revenue stakeholders rely on a smaller set of trustworthy, well-owned datasets and metrics for lifecycle, attribution, subscriber, billing, payment, monetization, and revenue decisions. - The team operates with clear goals, healthy execution rhythms, strong reliability standards, and a hiring and development plan that matches the domain’s ambition. This role is based in our San Francisco headquarters. We offer relocation assistance for new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Customer Success Manager, Ads Solutions (Seattle)
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role will be hybrid in Seattle, WA. In this role, you will: - Own relationships with a portfolio of advertising partners, serving as their primary point of contact. - Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. - Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. - Identify opportunities to expand partnerships through increased product adoption and incremental investment. - Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. - Surface advertiser feedback and insights to inform product improvements and long-term strategy. - Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: - Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. - Have experience managing advertiser or agency relationships in a platform, publisher, or adtech environment. - Are comfortable interpreting performance data and translating insights into strategic recommendations. - Have experience with data querying (e.g. SQL, advanced excel/GSheet) - Communicate clearly and builds trust with both technical and non-technical stakeholders. - Operate with ownership and accountability in fast-moving, evolving environments. - Demonstrate sound judgment and a commitment to user trust and responsible platform growth. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Customer Success Manager, Ads Solutions (San Franc...
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role will be hybrid in San Francisco, CA. In this role, you will: - Own relationships with a portfolio of advertising partners, serving as their primary point of contact. - Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. - Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. - Identify opportunities to expand partnerships through increased product adoption and incremental investment. - Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. - Surface advertiser feedback and insights to inform product improvements and long-term strategy. - Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: - Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. - Have experience managing advertiser or agency relationships in a platform, publisher, or adtech environment. - Are comfortable interpreting performance data and translating insights into strategic recommendations. - Have experience with data querying (e.g. SQL, advanced excel/GSheet) - Communicate clearly and builds trust with both technical and non-technical stakeholders. - Operate with ownership and accountability in fast-moving, evolving environments. - Demonstrate sound judgment and a commitment to user trust and responsible platform growth. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Customer Success Manager, Ads Solutions (New York...
ABOUT THE TEAM OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. ABOUT THE ROLE We’re looking for an Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role will be hybrid in New York City. IN THIS ROLE, YOU WILL: - Own relationships with a portfolio of advertising partners, serving as their primary point of contact. - Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. - Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. - Identify opportunities to expand partnerships through increased product adoption and incremental investment. - Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. - Surface advertiser feedback and insights to inform product improvements and long-term strategy. - Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Has 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. - Has experience managing advertiser or agency relationships in a platform, publisher, or adtech environment. - Is comfortable interpreting performance data and translating insights into strategic recommendations. - Has experience with data querying (e.g. SQL, advanced excel/GSheet) - Communicates clearly and builds trust with both technical and non-technical stakeholders. - Operates with ownership and accountability in fast-moving, evolving environments. - Demonstrates sound judgment and a commitment to user trust and responsible platform growth. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
B2B Marketing Manager, DACH
ABOUT THE TEAM Like every team at OpenAI, the Marketing team contributes directly to our mission of responsible and widespread AI adoption. The EMEA B2B Marketing team translates global priorities into regionally relevant programs that drive awareness, consideration, pipeline, adoption, and long-term customer trust. We partner closely with Sales and GTM, Product Marketing, Field and Executive Marketing, Content, Customer Marketing, Partner Marketing, Comms, Events, Marketing Operations, and regional leadership. DACH is one of OpenAI’s most important markets in EMEA. Our opportunity spans major enterprises and digital natives, ambitious startups, developers, partners, and a highly influential business community navigating the adoption of AI. ABOUT THE ROLE As the B2B Marketing Manager for DACH, you will own the integrated B2B marketing strategy and execution for Germany, Austria, and Switzerland. You will be a close commercial partner to local Sales and GTM leadership, translating market insight, revenue priorities, target-account needs, and global launches into locally relevant programs that create pipeline, accelerate complex opportunities, deepen customer relationships, and grow adoption. You will carry clear pipeline goals and be accountable for Marketing’s measurable contribution to commercial outcomes in DACH. These goals will be established through the regional planning process and will evolve with the priorities and maturity of the market. You will be expected to understand the pipeline, make informed investment decisions, and demonstrate how marketing activity creates, influences, or accelerates revenue opportunities. This is a generalist role spanning field and executive marketing, demand generation, account-based programs, content, customer marketing, partnerships, events, and product launches. You will bring these channels together into a focused DACH B2B plan, drawing on specialist capabilities within the EMEA B2B Marketing team in London and global Marketing teams. A particularly important partnership will be with the DACH Consumer Marketing Lead: together, you will align market strategy, narratives, launches, audience priorities, channels, and major moments so B2B and B2C activity is coordinated, complementary, and mutually reinforcing. Close partnership with Marketing Operations will be crucial. Together, you will establish campaign infrastructure, audience and account segmentation, attribution, reporting, and operating rhythms that give Sales and Marketing a reliable view of performance and inform where the team should invest next. The role requires someone who can move comfortably between strategy and execution: shaping the market plan, participating in pipeline reviews, developing a priority-account program, adapting a global campaign, briefing an agency, supporting an executive event, and personally unblocking delivery when needed. This role is preferably based in Munich. Berlin may be considered for an exceptional candidate. Regular travel within DACH and to London will be required. IN THIS ROLE, YOU WILL: - Own and execute the integrated DACH B2B marketing plan, aligned with regional priorities, local revenue goals, market opportunities, and customer needs. Partner closely with the DACH Consumer Marketing Lead to ensure B2B and B2C strategies and activities are coordinated and complementary, while retaining clear accountability for B2B pipeline and revenue outcomes. - Carry pipeline goals for DACH B2B marketing and be accountable for demonstrating measurable contribution to pipeline creation, influence, opportunity progression, and revenue outcomes. - Partner closely with DACH Sales and GTM leadership on territory planning, target-account prioritisation, pipeline goals, strategic opportunities, and quarterly business reviews. - Build full-funnel programs across field and executive marketing, demand generation, account-based marketing, content, customer advocacy, partnerships, events, and digital channels. - Design programs around priority accounts and buying groups, tailoring narratives and engagement for senior decision-makers—particularly technical C-suite audiences—and connecting customer proof, partner participation, content, and seller follow-up to create or advance opportunities. - Work in close partnership with Marketing Operations to define target audiences, establish campaigns, maintain data and process quality, track performance, improve attribution, and turn results into clear recommendations. - Build a regular Sales, Marketing, and Marketing Operations pacing rhythm covering pipeline performance, account engagement, campaign conversion, opportunity follow-up, risks, and investment decisions. - Translate global campaigns, product launches, narratives, and assets into locally relevant programs that reflect DACH market dynamics, language, industry priorities, and customer expectations. - Work with EMEA specialist teams in London to bring the strongest regional capabilities into the market, while serving as the voice of DACH in regional planning and prioritisation. - Develop locally relevant customer stories and advocacy opportunities in partnership with Sales, Customer Success, Customer Marketing, Comms, and senior customer stakeholders. - Build joint programs with strategic technology, consulting, and implementation partners where they can extend reach, strengthen customer value, or contribute to pipeline. - Own the operating rhythm for DACH B2B marketing, including planning, budget management, agency coordination, campaign pacing, performance reporting, and prioritisation. - Build repeatable playbooks and share market learning across EMEA, helping the wider organisation understand what resonates with DACH customers and decision-makers. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 12+ years of experience in integrated B2B, regional, field, demand generation, or account-based marketing, ideally in enterprise technology, cloud, AI, or SaaS. - Have a proven track record of driving measurable pipeline and revenue impact through integrated B2B marketing programs, ideally within large, complex enterprise sales cycles. - Have supported high-value products with long sales cycles, multiple decision-makers, and significant commercial scrutiny, and are familiar with engaging senior decision-makers—particularly technical C-suite audiences—throughout complex buying journeys. - Have held pipeline goals or comparable commercial targets and can clearly demonstrate how your marketing decisions created, influenced, or accelerated revenue opportunities. - Have partnered closely with enterprise sellers and Sales leadership on account prioritisation, pipeline reviews, opportunity acceleration, executive engagement, and follow-up. - Have worked closely with Marketing Operations on campaign architecture, segmentation, lead and account processes, measurement, attribution, and performance reporting. - Are comfortable using pipeline and campaign data to diagnose performance, make trade-offs, and redirect investment—not simply report activity. - Are a marketing generalist with experience connecting multiple channels into one coherent market plan, rather than operating within a single specialist discipline, and have a strong track record of partnering with consumer marketing leaders to integrate B2B and B2C strategy and activity without blurring ownership. - Understand DACH enterprise buying dynamics and can translate local customer, industry, cultural, and regulatory context into stronger marketing decisions. - Can balance local market needs with regional and global priorities, influencing effectively within a matrixed international organisation. - Are both strategic and hands-on: able to establish direction and operating structure while personally driving high-priority work to completion. - Bring strong commercial judgement, operational discipline, and the ability to make clear prioritisation decisions when opportunities exceed available capacity. - Communicate credibly with senior customer decision-makers—particularly technical C-suite audiences—as well as Sales, Marketing, and partner stakeholders. - Are energised by AI and motivated to help organisations across DACH adopt transformative technology responsibly. - Are fluent in German and English. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategy & Operations Lead — Korea
ABOUT THE TEAM The APAC team is responsible for bringing OpenAI’s mission, products, and partnerships to life across one of the company’s most strategically important regions. As we scale our presence across Asia-Pacific, we are building a regional operating model that enables strong local execution, consistent global alignment, and long-term impact across businesses, products, markets, and functions. ABOUT THE ROLE We are looking for a Strategy & Operations Lead to lead and scale operational excellence in Korea. Reporting to the General Manager, Korea, this leader will work hand in hand with the General Manager to translate global strategy into regional execution, ensure operating discipline across markets and functions, and help the business scale with consistency, speed, and rigor. This person will act as a key bridge between global leadership and regional teams, bringing clarity to priorities, building scalable operating systems, and ensuring the region is set up to deliver against ambitious business goals while keeping the long-term opportunity in mind. This role is based in Seoul, Korea and we use a hybrid model of 3 days in office. YOU’LL BE RESPONSIBLE FOR: - Defining and implementing the Korea operating strategy in alignment with APAC & global objectives and regional priorities. - Driving execution across key markets, ensuring consistency while adapting to local needs, regulations, and market dynamics. - Partnering with global leadership to prioritize initiatives, allocate resources, and ensure strong execution in-region. - Establishing KPIs, reporting frameworks, and operating cadences to track performance and inform decision-making. - Building and optimizing scalable processes across business lines, including consumer, product, partnerships, and other key functions. - Identifying operational gaps and inefficiencies, and implementing continuous improvement initiatives. - Supporting market entry strategies and operational readiness for Korea - Enabling strategic partnerships through strong operational frameworks and close partnership with relevant teams. - Helping build a strong regional functional leadership team and ensuring the regional operating system runs smoothly and efficiently. - Collaborating closely across functions to drive accountability and deliver against regional goals. - Ensuring seamless coordination between global and regional stakeholders. - Acting as a central point of accountability for operational delivery across Korea. - Building, leading, and mentoring a high-performing regional operations team. - Fostering a culture of accountability, inclusion, operational rigor, and continuous learning. - Developing leadership bench strength across key markets and functions. WE’RE LOOKING FOR SOMEONE WITH: - Significant experience leading regional or international operations in a fast-scaling, complex business environment. - Strong strategic and operational judgment, with the ability to translate high-level goals into clear execution plans. - Experience operating across multiple markets, functions, and business lines, ideally within Korea. - A track record of building scalable operating systems, processes, metrics, and reporting frameworks. - Strong cross-functional leadership skills and the ability to influence senior stakeholders across global and regional teams. - Excellent business judgment, with a bias toward action and strong accountability for outcomes. - Experience supporting market expansion, operational readiness, and/or regional growth initiatives. - Strong people leadership skills, including experience building and developing high-performing teams. - Comfort operating in ambiguity and creating structure in fast-moving environments. - High integrity, low ego, and a collaborative leadership style. - Strong written and verbal communication skills, with the ability to bring clarity to complex topics. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Applied Emerging Talent (2027)
About the Team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are seeking Software Engineers (Emerging Talent) to join our Applied Engineering team. You’ll work in a highly iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. In this role, you will: - Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end - Talk to users to understand their problems and design solutions to address them - Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products - Optimize applications for speed and scale - Create a diverse and inclusive culture that makes all feel welcome. Your background looks something like: - Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 0-1 years of experience in software engineering or a relevant field - Proficiency with JavaScript, React, and some backend languages (we use Python) - Some experience with relational databases like Postgres/MySQL - Interest in AI/ML (direct experience not required) - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Integrated Marketing Manager - LATAM
About the Team OpenAI’s LATAM Marketing team helps people understand how AI can benefit their lives and put that value into practice. We connect global product innovation with local consumer needs, culture and behavior across Brazil and Spanish-speaking Latin America, contributing to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. We bring together strategy and creativity across integrated campaigns, product launches, creators, social, partnerships and cultural experiences. Working with global and local cross-functional teams, we make AI’s everyday usefulness tangible and relevant to people across the region. About the Role We are looking for an experienced, hands-on Integrated Marketing Manager to lead consumer marketing programs across LATAM, with an immediate focus on Brazil and close collaboration across Spanish-speaking markets. This role is based in São Paulo, Brazil. You will turn consumer insight and product understanding into a clear strategy, a compelling creative idea and an integrated plan that delivers measurable results. You should be as comfortable exploring an AI product and writing a brief as aligning global stakeholders, guiding creative development and driving execution. Your work will help people discover useful applications of ChatGPT and build confidence in new capabilities. This role is based in Brazil; São Paulo, hybrid model. In this role, you will: - Build consumer strategies from research, market signals and local cultural insight, identifying the audience, unmet need and behavior each program should influence. - Translate product features, AI capabilities and real product behavior into clear consumer use cases, messaging and brand storytelling, with accurate expectations about capabilities and limitations. - Lead integrated campaigns from brief to launch and learning, giving paid, owned, earned, social, creators, partnerships and experiences distinct, complementary roles. - Adapt global launches and campaigns to local needs while protecting the core brand strategy; create locally originated ideas when the opportunity calls for them. - Connect cultural relevance with practical product utility, helping both existing users and new audiences move from discovery to trial, broader usage and repeat engagement. - Partner with creator, social and partnership teams to sustain product education between major launches and turn cultural moments into a consistent marketing presence. - Partner with Product, Product Marketing, Growth, Brand, Creative, Production, Comms, Data and Regional teams to align priorities, messaging, channel plans and launch readiness, including when timelines change quickly. - Define success and learning plans before launch, using relevant brand and behavioral metrics and experimentation where feasible. - Manage campaign resources, agencies, budgets and production dependencies within agreed authority; make clear trade-offs and build forward plans that account for creative lead times and local market conditions. What you bring - 12+ years of technology marketing experience across Brazil and Spanish-speaking LATAM, with a proven record of leading integrated B2C programs and hands-on experience marketing AI products. - Deep local market knowledge and an insight-first approach - Strong product marketing expertise and genuine product curiosity. You explore AI tools yourself and can turn complex capabilities into useful, credible consumer stories. - Strong strategic and creative judgment, connecting brand positioning, product value and distribution to a compelling central campaign idea. - Understanding of the full consumer journey and how marketing contributes to awareness, acquisition, activation, adoption, engagement, retention or monetization, depending on the objective. - Strong measurement and experimentation discipline, with the ability to distinguish activity and platform metrics from business impact and explain attribution limits. - Experience balancing regional consistency with local nuance, and influencing cross-functional and global teams without relying on formal authority. - A clear record of personal ownership: you can set direction, produce high-quality work directly, manage agencies and delivery, and make progress with incomplete inputs and limited resources. - Fluency in Portuguese, English and Spanish, with the ability to communicate clearly and collaborate effectively across local, regional and global teams. Nice to have - An established network of local creative, media, creator or cultural partners, and experience reaching audiences beyond the region’s largest urban centers. - Experience connecting consumer product adoption with professional use cases, or building reusable launch and campaign practices across markets. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Influencer Program Lead - LATAM
About the Team OpenAI’s LATAM Marketing team helps people understand how AI can benefit their lives and put that value into practice. We connect global product innovation with local consumer needs, culture and behavior across Brazil and Spanish-speaking Latin America, contributing to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. We bring together strategy and creativity across integrated campaigns, product launches, creators, social, partnerships and cultural experiences. Working with global and local cross-functional teams, we make AI’s everyday usefulness tangible and relevant to people across the region. About the Role We are looking for an experienced, hands-on Influencer Program Lead to own influencer marketing across Brazil and Spanish Speaking LATAM, from strategy and creator selection through briefing, delivery and measurement. The role also owns the marketing side of partnerships, connecting partner audiences and channels with clear product value and locally relevant campaigns. You will turn consumer insight and product understanding into creator programs and partnership activations that help people discover useful applications of ChatGPT, build confidence in new capabilities and use them more often. You should be as comfortable shaping a brief and reviewing content as coordinating creators, agencies, partners and global teams. This role is based in Brazil; São Paulo, hybrid model. In this role, you will: - Own the influencer strategy and program calendar for Brazil and Spanish Speaking LATAM, using audience insight to define objectives, creator roles and a sustainable mix of always-on education and campaign activity. - Select, brief and manage creators and agencies based on audience fit, credibility, content quality and cultural relevance; build relationships that support consistent, useful storytelling. - Translate product features and AI capabilities into clear creator briefs, demonstrations and content, with accurate expectations about product behavior and limitations. - Turn product launches and cultural moments into creator-led campaigns, coordinating content distribution and reuse with owned social, Growth and integrated marketing teams. - Support professional-use creator education, aligning with B2B marketing on use cases, audience needs and learning objectives. - Lead creator operations, including scopes, budgets, timelines, content review, usage rights and delivery tracking, in partnership with the relevant internal teams. - Own partnership marketing plans: connect partner audience insights with product use cases, shape co-marketing narratives and briefs, and coordinate creative assets, channel activation and launch readiness. - Partner with Partnerships, Product Marketing, Growth, Brand, Creative, Production, Comms and Legal to align objectives, messaging, approvals and delivery across creator and partnership programs. - Define success and learning plans before launch, using relevant brand and behavioral metrics and experimentation where feasible; use results to improve creator selection, content and resource allocation. What you bring - Proven experience leading marketing programs from strategy through hands-on execution, with knowledge of creator ecosystems in LATAM. - Deep local market knowledge and an insight-first approach, with sound judgment on creator fit, content quality and cultural relevance. - Strong product storytelling skills and genuine product curiosity. You explore AI tools yourself and can turn complex capabilities into useful, credible consumer stories. - Experience managing the marketing side of partnerships, including audience-specific messaging, co-marketing plans, creative development and cross-functional delivery. - A clear record of personal ownership: you can shape strategy, produce high-quality briefs, manage creators, agencies, budgets and delivery, and make progress with incomplete inputs and limited resources. - Fluency in Portuguese and English, with the ability to communicate clearly and collaborate effectively across local, regional and global teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Growth Marketing Manager - Web & Organic, SMB Ads
About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are seeking a Growth Marketing Manager to build the web and organic growth engine for SMB advertisers at OpenAI. This is a zero-to-one opportunity to shape how businesses discover our advertising platform, understand its value, and become successful advertisers. You will own the SMB Ads web strategy and experimentation roadmap, combining customer insight, analytical rigor, and product judgment to grow qualified discovery and improve conversion. Your scope spans web experiences, organic search, generative engine optimization (GEO), and the journey from first visit through signup and activation. You will work closely with Product, Design, Ads Engineering, Content, and Data Science to turn opportunities into shipped experiences, operating with the speed and ownership of a startup. In This Role, You Will - Own the SMB Ads web strategy and roadmap to grow qualified discovery, signup, and advertiser activation. - Grow organic discovery through search, content, and GEO. Test new ways to help businesses find and evaluate OpenAI’s advertising offering. - Analyze journeys, funnels, and cohorts to identify conversion barriers and prioritize high-impact improvements. - Run experiments across landing pages, messaging, navigation, personalization, offers, and conversion flows. Use results to guide the roadmap. - Improve the journey from website visit to signup, onboarding, and first campaign with Product and Ads Engineering. - Define instrumentation, test design, attribution, and reporting with Data Science and marketing systems teams to measure incremental activation and advertiser value. - Launch useful web experiences with Content, Product Marketing, Design, Engineering, and specialist agencies. Evaluate capabilities such as personalization, chat, and experimentation tools. - Connect landing experiences to in-product, referral, and cross-sell acquisition programs. Coordinate onboarding and engagement with Lifecycle Marketing. - Use AI to accelerate research, prototyping, content, analysis, and experimentation. Scale successful tests and communicate results clearly. You Might Thrive in This Role If You - Bring 4–7 years of experience in growth marketing, web strategy, organic acquisition, conversion optimization, or product growth, with measurable acquisition, activation, or revenue impact. - Apply strong analytical judgment across funnels, cohorts, customer behavior, and incremental impact to prioritize growth opportunities. - Demonstrate ownership of web experiences and experimentation programs that improve conversion from discovery to activation. - Connect SEO, content-led discovery, and GEO with customer insight, web strategy, and product judgment. - Translate business opportunities into clear roadmaps and launched experiences with Product, Design, Engineering, Data Science, and Marketing. - Combine strategic thinking with hands-on growth execution. Relevant backgrounds include scaled technology businesses, startups, or consulting followed by operating experience in startup growth. - Evaluate and implement web capabilities with technical partners, using AI to improve execution speed and quality. - Understand SMB customers and bring experience in self-serve products, advertising, SaaS, marketplaces, fintech, commerce, or other high-volume digital businesses. Preferred Qualifications - Experience building web and organic growth programs for SMBs or self-serve advertising platforms. - Track record improving conversion from website discovery through signup and first campaign activation. - Experience growing qualified traffic through SEO, content, and generative engine optimization (GEO). - Hands-on experience testing landing pages, personalization, and onboarding flows to drive incremental growth. - Experience implementing web instrumentation, attribution, and experimentation tools with technical partners. - Experience using AI to accelerate research, prototyping, content development, and analysis Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
B2B Marketing Lead - LATAM
About the Team OpenAI’s LATAM Marketing team helps people understand how AI can benefit their lives and put that value into practice. We connect global product innovation with local consumer needs, culture and behavior across Brazil and Spanish-speaking Latin America, contributing to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. We bring together strategy and creativity across integrated campaigns, product launches, creators, social, partnerships and cultural experiences. Working with global and local cross-functional teams, we make AI’s everyday usefulness tangible and relevant to people across the region. Our B2B work extends this mission to professionals and organizations through practical education, local customer stories and programs that support meaningful AI adoption at work. About the Role We are looking for an experienced, hands-on B2B Marketing Lead to build and lead B2B marketing across LATAM, with an immediate focus on Brazil. You will set priorities with International Expansion and local GTM teams, connect global B2B strategy with local needs, and turn those priorities into programs that help professionals and organizations understand and adopt AI. This role reports to the LATAM Marketing Lead. You will combine customer insight, product understanding and strategic brand judgment with practical delivery across education, demand generation, customer stories, events and sales enablement. Working with Field Marketing and regional and global partners, you will build the capabilities, execution network and measurement practices needed to grow the program.This role is based in Brazil; São Paulo, hybrid model. In this role, you will: - Own the LATAM B2B marketing plan, starting with Brazil: identify priority audiences, adoption barriers and opportunities, and align programs with International Expansion, GTM and global B2B objectives. - Translate product capabilities and global narratives into locally relevant use cases, campaigns and professional education, with accurate expectations about product capabilities and limitations. - Build local customer stories and practical examples with customers, Sales and Comms, ensuring the evidence supports the claims and the materials are useful to business audiences. - Design the partner, agency and vendor network needed to deliver the plan; define scopes, budgets, responsibilities and quality expectations with clear ownership. - Bring LATAM customer insights and market needs into global B2B planning, adapt shared assets and programs, and exchange effective approaches with other regions. - Lead integrated B2B programs with Field Marketing across customer events, executive engagement, content, demand generation and sales enablement, connecting each activity to a clear audience need and outcome. - Partner with Sales/GTM on audience and account priorities, campaign follow-up and measures of pipeline contribution; connect commercial objectives with customer education and adoption. - Coordinate B2B partner and developer-facing programs with Partnerships, partnership marketing and Developer Marketing, agreeing responsibilities and relevance to the B2B plan. - Establish planning and reporting routines, manage delivery dependencies and budget trade-offs, and use performance evidence to improve programs and recommend where to invest next. What you bring - 12+ years of marketing experience, including 5+ years in B2B marketing, ideally in technology, platforms or high-growth environments. - Proven experience building and delivering B2B programs in Brazil, with the ability to adapt strategy and execution across LATAM markets. - Deep understanding of business audiences and an insight-first approach, including enterprise buying dynamics, customer trust, local proof points and barriers to AI adoption. - Strong product marketing and storytelling skills. You explore products yourself and can translate complex capabilities into credible business use cases and clear customer value. - Experience partnering with Sales/GTM, Product Marketing, Comms and global or regional marketing teams, balancing shared strategy with local needs. - Hands-on experience across demand generation, field programs, customer education, content and sales enablement, including management of agencies, vendors and budgets. - Strong measurement and experimentation discipline, with the ability to connect activity to qualified engagement, pipeline contribution and adoption while explaining attribution limits. - A clear record of personal ownership: you can set direction, deliver high-quality work directly, build operating routines and make progress with incomplete inputs and limited resources. - Fluency in Portuguese, English and Spanish, with the ability to communicate clearly and collaborate effectively across local, regional and global teams. Nice to have - Experience marketing AI or technical products, developing professional education or supporting business audiences connected to developer ecosystems. - Experience with partner-led programs, regulated or trust-sensitive industries, or a strong local network of B2B agencies and partners. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Capture Manager, OpenAI for Government
About the Team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, commercial and specialized national-security models that address government's mission needs, meet their technical requirements, and provide the highest degree of reliability and safety. As part of the OpenAI for Government team you will work with U.S. intelligence community and international public sector customers, helping to accelerate adoption through hands‑on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how government works, we want you on our team. About the Role Our OpenAI for Government team has a unique mission to help government customers understand the transformative impact that highly capable AI models can bring to their critical missions. This role combines technical understanding, strategic vision, partnership management, and value-driven strategy specifically tailored to government customers. As a Capture Manager, you’ll identify and drive key opportunities through the government sales cycle, from pipeline generation to closure. You’ll collaborate closely with industry partners, potential customers, policy makers, and internal experts to help government customers advance their missions through AI. This role is based in Washington, DC. In this role, you will: - Pipeline Development: Partner with O4G GTM teams to identify, build, and maintain a multi-year pipeline of strategic opportunities. - Capture Management: Lead the full capture lifecycle — from opportunity identification and qualification through win strategy, teaming, proposal, and award. - Content Development: Write and edit proposal sections, weaving together inputs from subject matter experts into cohesive, persuasive narratives. - Solutioning Support: Collaborate with technical and product teams to shape innovative AI-driven solutions and articulate win themes. - Compliance & Quality: Ensure all responses meet solicitation requirements, government acquisition regulations, and OpenAI standards. - Knowledge Management: Maintain and grow a proposal content library, enabling reuse and continuous improvement. - Cross-Functional Collaboration: Work across sales, product, legal, and engineering to gather information, develop strategies, and deliver polished submissions. - Continuous Improvement: Capture lessons learned and refine capture/proposal processes for greater effectiveness over time. We're seeking someone with experience including: - 10+ years selling information technology services to governments, including US intelligence community and international public sector customers. - Designing and executing complex deal and capture strategies within government contexts, with deep familiarity with government contracting, security clearances, and procurement processes. - Leading capture and proposal efforts for complex technology or government contracts, including compliant and compelling RFx responses. - Building trusted relationships and working directly with senior government executives and decision-makers. - Communicating technical and strategic concepts clearly to both government customers and internal stakeholders. - Leading high-visibility engagements such as customer briefings, industry events, and senior-level meetings. - Managing deadlines and cross-functional stakeholders in fast-paced, high-pressure environments. - Exceptional writing and editing skills, able to translate technical concepts into persuasive narratives. - Entrepreneurial mindset with the ability to thrive in a fast-moving, high-impact environment. - Active U.S. Government TS/SCI clearance. You might thrive in this role if you: - Enjoy turning complex technical ideas into clear, persuasive writing. - Get energy from working across legal, product, engineering, and sales teams to solve problems together. - Like the challenge of shaping strategy for competitive government procurements. - Stay calm and focused when juggling multiple deadlines. - Take pride in producing polished, compliant documents that win. - Naturally look for ways to make processes simpler, faster, and more effective. - Are curious about emerging technology and eager to help government customers understand how to use it. - See ambiguity as an opportunity to build structure and clarity. - Care about mission impact and want to help government agencies use AI responsibly and effectively. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Recruiting Analytics Data Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling - Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company - Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance - Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems - Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration - Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools - Create reliable data flows that handle both real-time needs and batch processing requirements - Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness - Automate data quality checks and validation across all pipelines Analytics Engineering & Modeling - Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users - Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement - Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company Minimum qualifications - Are an expert in BigQuery including optimization and partitioning - Have built dimensional models and understand slowly changing dimensions - Are proficient in SQL, Python, and modern tools like dbt and Fivetran - Have implemented data security and privacy controls in cloud warehouses - Can translate HR concepts into scalable data models - Communicate effectively with both technical and business stakeholders Preferred qualifications - Have 5+ years in data engineering - Familiarity with ATS platforms (Greenhouse, Lever) and their data structures - Experience with building semantic layers for data agents - Experience building data pipelines for survey data and text analytics - Knowledge of graph databases or network analysis libraries - Background in privacy-enhancing technologies or sensitive data handling - Previous experience in high-growth technology companies or AI/ML organizations - Familiarity with workforce planning and predictive analytics use cases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Marketing Manager, Special Projects
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a senior Product Marketing Manager to lead go-to-market for Anthropic's highest-priority special projects — the cross-cutting launches, new capabilities, and time-sensitive initiatives that don't map neatly to a single product line but matter enormously to how the market understands Claude and Anthropic. You'll own positioning, messaging, and narrative development for these projects end to end, and you'll also own the program: pulling together product, research, comms, sales, and marketing stakeholders, building the plan, and driving it to launch. This is a senior individual contributor role for someone who operates with a high degree of autonomy. You'll frequently be handed an ambiguous, technically complex problem — sometimes deep in areas like safety and cyber — with a tight timeline and no existing playbook, and be expected to shape the story, build the plan, and ship. If you're a product marketer who is equally strong at crafting the narrative and running the launch, and you want to work on the projects that define the frontier of AI, this role is for you. Responsibilities - Own go-to-market strategy for a rotating portfolio of special projects, from positioning and messaging through launch execution and enablement - Develop crisp, differentiated narratives for net-new capabilities and initiatives, often where no established market category or language yet exists - Translate complex technical subject matter — including safety and safeguards work — into clear, credible messaging for developers, enterprise buyers, and the broader ecosystem - Act as the program lead for each project: define the launch plan, timeline, and workstreams; align cross-functional stakeholders; and drive execution across product, research, comms, demand generation, and sales - Create the core launch assets and source-of-truth materials — messaging frameworks, narratives, FAQs, enablement content — that other teams build from - Partner with Product and Research leads to shape how projects are framed and sequenced for the market, feeding back market and competitive insight - Build repeatable frameworks and playbooks so that special projects become faster and more consistent to bring to market over time - Operate as a trusted, independent owner: surface risks early, make judgment calls in ambiguity, and keep leadership informed without needing close direction Minimum Requirements - Product marketing background; an exceptional writer and messaging craftsperson — positioning, narrative, and copy are your strengths, not just strategy decks - Strong program management instincts and have personally run complex, multi-stakeholder launches end to end - Can get comfortable with technical subject matter quickly and communicate it accurately to both technical and non-technical audiences - Work autonomously — you're energized by being handed an ambiguous problem and trusted to figure out the path - Skilled cross-functional collaborator who can align product, research, comms, and sales partners without formal authority - Thrive in fast-moving, high-pressure environments where priorities shift and the playbook hasn't been written yet Preferred Requirements - 10+ years of product marketing experience in B2B or enterprise software, with a track record as a senior individual contributor - Experience marketing AI/ML products, developer platforms, or infrastructure — a developer-platform background is valuable but not required - Experience marketing in areas with significant trust, safety, security, or regulatory dimensions - A track record of launching products or capabilities that created a new market category - Prior experience in a special projects, launch lead, or "fixer" style role that spanned multiple product lines - Experience at a high-growth technology company during a category-defining period Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Marketing Manager, Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities - Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities - Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs - Drive product launches that generate market momentum, from flagship releases to incremental feature updates - Design and implement developer marketing campaigns to drive API adoption and platform usage - Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling - Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback - Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements - Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches - Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences - Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies - Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies - Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Preferred requirements - Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products - Experience in highly competitive markets requiring sharp differentiation - A background in marketing AI/ML products or developer tools to enterprise buyers - Experience working closely with Sales teams on strategic, technical deals Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Manager, Customer Success – Strategic Consumer Tec...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager, Customer Success – Strategic Consumer Tech, you'll lead the Customer Success Managers who cover our strategic consumer technology accounts, fast-moving consumer technology companies building on Claude across API, Claude Code, Cowork and other surfaces. You'll directly coach and develop a team of 5-10 CSMs while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: - Directly manage and develop a team of 5-10 Customer Success Managers supporting strategic enterprise accounts across all Anthropic products (API, Claude.ai , Claude Code) - Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite - Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) - Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at Fortune 500 companies - Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks - Partner closely with Sales and Applied AI to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies - Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption - Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales - Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise - Conduct regular 1:1s, performance reviews, and career development planning for direct reports - Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development - Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio - Develop customer advocacy programs including case studies, testimonials, and reference architecture development - Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: - 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience - Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies - Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values - Strong understanding of consumption-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures - Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings - Strong executive presence and ability to represent Anthropic with customer technical and business leaders - Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes - Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning - Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes - Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs - Track record of achieving team targets for expansion, retention and customer satisfaction - Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Software Engineering Intern (Summer 2027)
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI Example Projects: - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data Requirements: - A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Available for a Summer 2027 internship (May/June start dates) in San Francisco - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Computer Science/Software Engineering internship experience - Track record of shipping high-quality products and features - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Please reference the job posting's subtitle for where this position will be located. Nice to have: - Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects - Open source contributions or a portfolio of shipped side projects How we work: Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Engineering Manager (TLM, Agents)
Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain expertise in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better). - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.
AI Infrastructure Engineer, pAGI
About the Team pAGI Infra team builds and operates the systems that make large-scale model training and evaluation reliable, efficient, and easy to run. Our work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. We partner closely with researchers and engineering teams to turn new research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from an experiment to a validated model. About the Role We’re looking for an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You’ll own projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers. You might build a shared grading service, improve resource allocation across workloads, or bring a new training stack into production — directly improving how quickly and reliably research moves forward. In this role, you will: - Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency. - Develop shared inference and grading platforms with automated capacity management, health monitoring, and visibility into performance. - Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures. - Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance. - Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention. You might thrive in this role if you: - Are excited about the potential of personal AGI and want to build the infrastructure that enables it. - Have strong software engineering fundamentals and experience building or operating large-scale distributed systems. - Have experience in ML infrastructure, inference systems, GPU performance, or infrastructure tooling. - Are highly self-motivated and comfortable taking ownership of open-ended problems. - Enjoy debugging across system boundaries and using measurements to guide improvements in performance and reliability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Engineer, Government, International
About the Team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of Agentic solutions. In this international Government role, you will deliver clearly scoped AI use cases with public-sector customers, from a mission need through hands-on implementation, architecture, evaluations, measurable adoption, and documented handoff. Account-aligned technical and commercial owners retain ongoing account ownership. About the Role We are looking for a driven solutions leader with a product mindset to partner with our international public-sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies, policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll partner with their technical teams, subject matter experts, regional cloud providers, systems integrators, and implementation partners to move from prototype through production. You’ll design architectures using supported OpenAI technologies and approved services, with explicit data, inference, evaluation, and production-readiness boundaries. You will collaborate closely with regional Sales and Solutions Engineering, Global Affairs, Applied Research, Product, Legal, and Security teams. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Deliver clearly scoped technical implementations with sophisticated international public-sector customers, serving as their hands-on engineering partner to build applications on supported model APIs, Codex, and other approved OpenAI technologies. - Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. - Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners. - Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications. - Contribute to our open-source developer and enterprise resources. - Scale the Applied AI Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. - Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams. You will thrive in this role if you: - Bring substantial technical consulting or hands-on delivery experience with international public-sector or similarly regulated customers, bridging regional technical teams and senior stakeholders. - Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners. - Understand network and cloud architecture, including on-premise deployments, and show practical judgment about privacy, data residency, model-inference location, sovereign or regulated environments, identity, procurement, and customer authorization. - Are an effective and polished communicator who can translate business and technical topics to all audiences, including cross-cultural communication with public-sector executives, regional delivery partners, and legal/security stakeholders. - Have industry experience in programming languages like Python, Go, or Typescript. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. - Can work with stakeholders in the target region's business hours and travel when required for customer delivery. - Existing UK Developed Vetting (DV) clearance is strongly preferred, particularly for work with UK intelligence and defense customers. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Deployed Engineer, Professional Services (APAC)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them. KEY RESPONSIBILITIES - Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance. - Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements. - Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly. - Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment. - Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology. REQUIREMENTS - 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus. - 2+ years of hands-on experience building and shipping production agent systems. - Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs). - Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory). - Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems. - Comfortable operating across the full spectrum from advisory to embedded delivery. - Willing to travel up to 20% of the time. NICE TO HAVE - Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL. - Experience with trace mining to drive continuous improvement loops LOCATION: Remote in Singapore Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Member of Technical Staff (AI Software Engineer, A...
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer https://www.perplexity.ai/computer (our platform for generalized frontier intelligence), the Comet ecosystem https://www.perplexity.ai/comet, our Agent API, and more. Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users. - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Ensure a high craft and quality bar, in both AI agent performance and user experience. - Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa. - Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership. - A passion for shipping products that surprise and delight.
Staff Data Scientist
Staff Data Scientist at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Fitness, Health Care, Health Diagnostics, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App. Skills: Machine Learning, Data Science, Data Analysis, Statistical Modeling, Predictive Modeling, Causal Inference, Leadership, Mentorship, Problem Solving. Locations: London, UK. Work mode: on site.
Sr. Data Scientist
Sr. Data Scientist at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Fitness, Health Care, Health Diagnostics, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App. Skills: Machine Learning, Data Engineering, Feature Engineering, A/B Testing, Cloud Computing, Version Control, Data Analysis, Statistical Modeling, Mentorship. Locations: London, UK. Work mode: on site.
Head of Analyst Relations
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our Communications team supports that mission by explaining our technology, our values, and how we safely build powerful AI. We help business leaders see what AI can make possible for their organizations, show how customers use OpenAI’s products, and explain how AI is changing the way people work. Analyst Relations sits within Business Communications, helping industry analysts understand our technology, enterprise products, and how organizations put them to work. About the Role We are looking for a Head of Analyst Relations to build OpenAI’s global analyst relations program and help influential analysts understand our enterprise products and the business outcomes they enable. You will set the narrative and engagement strategy, focusing on the firms and categories that shape enterprise buying decisions. This is an exceptionally fast-paced, hands-on role. You will shape long-term positioning, advise senior leaders, and lead our participation in priority evaluations, briefings, and analyst engagement around launches. You will build trusted relationships while bringing Product, Research, Marketing, Sales, and Communications together to make decisions quickly and deliver exceptional work under tight deadlines. This role reports to the Head of Business Communications. This role will be hybrid, in office 3 days a week, ideally in the San Francisco Bay Area; flexible on New York based candidates. In this role, you will: - Set the global analyst relations strategy, prioritizing the firms, categories, and questions that shape enterprise technology decisions. - Lead OpenAI’s work on priority evaluations, from deciding where to engage through submissions, demos, and customer evidence. - Build a coherent enterprise narrative across a fast-moving product portfolio, grounded in what ships, customer outcomes, and responsible deployment. - Develop trusted, candid relationships with analysts through substantive briefings, regular updates, and follow-through on their questions. - Turn analyst feedback and competitive context into useful counsel for product and go-to-market teams, and track whether our positioning and analyst understanding improve. - Build a repeatable program with an evaluation calendar, briefing materials, approved customer references, and clear measures of relationship strength and evaluation outcomes. - Prepare executives and spokespeople for significant analyst moments, and help Communications and Sales use third-party research accurately in external and customer conversations. You might thrive in this role, if you have: - Deep analyst relations experience in complex enterprise technology, including ownership of major evaluations. - A record of building programs with clear priorities and strong relationships, then turning analyst insight into useful counsel for the business. - Excellent judgment about what an analyst report says, what evidence supports customer and competitive claims, and what must remain confidential. - The credibility to work with technical leaders and make a sophisticated platform story clear to analysts and enterprise buyers. - Excellent writing and executive counsel skills, with the ability to align teams without formal authority. - A proven ability to move quickly between strategy and hands-on delivery under tight deadlines, while measuring progress through relationship strength, message understanding, and evaluation outcomes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Recruiting Coordinator [fixed-term contract...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Recruiting Coordinator at Anthropic, you'll be the go-to on: owning end-to-end coordination, serving as the subject matter expert on pipeline health and capacity, and supervising the scheduling automation, including deciding when a candidate needs a human instead of the automated path. Beyond scheduling, you'll partner directly with Recruiters, Sourcers, and Recruiting Managers to drive process improvements, own the escalation path, and ensure seamless coverage across your pod. You'll lead coordination projects as needed from problem to adopted solution, and help define what this role becomes as tooling evolves. Responsibilities - Automation Supervision: Run the scheduling tools for your pod. Set them up, check their output before candidates see it, and decide when a loop needs a human touch instead of the automated path. Every intervention is a judgment call you own. - Pipeline & Capacity: Serve as the subject matter expert on your pod's pipeline. Work directly with Recruiters, Sourcers, and Recruiting Managers to surface bottlenecks, flag capacity concerns, and recommend what moves first when things are tight. - Complex Scheduling: Own the high-stakes scenarios end to end: changes, cancellations, and rescheduling decisions, made independently while keeping stakeholders informed. - Escalations: Own the escalation path for your pod. When interview plans arrive incomplete, scorecards lag, or declines pile up, you flag the pattern and drive it to resolution with your manager behind you. - Project Work: Own projects end to end, from problem to adopted solution. - Coverage: Coordinate coverage across your pod during absences and surges so candidates never feel the gap. - Candidate Experience: Keep the experience high-touch and warm, including the recovery when the automation gets something wrong. You're the point of contact who can always say where things stand. You may be a good fit if you have - 4+ years of experience in recruiting coordination, with demonstrated experience in high-volume complex scheduling environments - Hands-on fluency with AI tools in your daily work, and the judgment to know when to trust the output and when to override it - Proven ability to own and improve processes, with examples of leading projects or initiatives that drove measurable impact - Strong partnership skills: you know how to work alongside Recruiters, Sourcers, and Hiring Managers as a collaborative, trusted advisor - Excellent judgment and the ability to make independent decisions on scheduling changes and prioritization - Clear, professional communication skills with a talent for keeping multiple stakeholders aligned - Comfort with ambiguity and a proactive approach to problem solving. You don't wait to be told what to do - A genuine interest in Anthropic's mission and our deep commitment to AI safety Work Details & Compensation - Base salary: $58.00/hr + overtime eligible (non-negotiable) - Duration: 12 month fixed-term opportunity - Location: Remote - Employment: Directly through Anthropic - Benefits: Anthropic benefits, no equity during the term The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $120,640 - $120,640 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enforcement Operations Lead, Cloud Partners
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. A large and growing share of Claude usage reaches customers through our cloud partners: Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. As the Enforcement Operations Lead for Multi-Cloud, you'll own how Anthropic detects, reviews, and acts on misuse across those surfaces, where the partner owns the customer relationship and often the data path. You'll build the operating model, partner agreements, and documentation that make enforcement on every cloud consistent, auditable, and fast. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams and companies to break new ground and drive work to completion. This work is deeply cross-functional. You'll partner closely with our product managers, policy experts, Safeguards engineering, Legal, and the trust & safety and operations teams across our Cloud partners to maintain a consistent and safe enforcement ecosystem. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. Key responsibilities - Own the end to end enforcement lifecycle on partner surfaces, from detection and review through action, customer communication, and appeal - Define enforcement paths for each partner's operating model, including how actions are requested, executed, and confirmed when the partner controls the account - Manage SLAs for review, escalation, and action, and evaluate performance against them on an ongoing basis - Develop and maintain SOPs and escalation guides for all enforcement workflows, ensuring consistency across clouds - Establish red-teaming, Quality processes, and operationalize shared metrics - Stand up paired investigations with partner threat intelligence teams, including case referrals, indicator sharing, and paging for high severity incidents - Own enforcement metrics across partner surfaces and report them to Safeguards leadership, partners, and regulators Minimum qualifications - Extensive experience in trust and safety operations, enforcement, threat intelligence, or a related field - Have managed external partner or vendor relationships where you did not control the other side's systems or priorities - Comfortable working across policy, legal, engineering, and operations teams to translate requirements into practical workflows - Experience building enforcement programs from the ground up, including SLAs, escalation paths, and quality measurement - Highly organized, with a track record of maintaining rigorous documentation and SOPs in fast-moving environments - Clear and precise communication, both in writing and verbally, across technical and non-technical audiences, including partner executives - Energized by the challenge of building scalable systems in an environment where not everything is already figured out - Care deeply about the responsible deployment of AI and the role enforcement operations plays in that mission Preferred qualifications - Direct trust & safety, abuse, or security operations experience at AWS, GCP, or Azure, or at a company that ships through their marketplaces - Experience designing incident response or escalation processes that span more than one company - Familiarity with data access controls, audit requirements, or privacy constrained review environments - Experience with law enforcement referrals, regulatory reporting, or compliance programs - Background in AI safety, content moderation, fraud, or abuse detection systems - Comfort working with data and metrics to inform operational decisions and surface trends to leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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