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👤 HumanFull-timeRemote

By RecursionSep 19, 2026

Associate Director, Clinical Supply Chain

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As the Associate Director of Clinical Supply Chain, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making Salt Lake City your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $186,010-$218,790 - Salt Lake City & all other U.S. locations: $169,100-$198,900 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

👤 HumanFull-timeRemote

By RecursionSep 19, 2026

Talent Acquisition, Research - North America

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a member of the US Talent Acquisition team focused on Research and technical hiring, you will be instrumental in building and scaling Mistral's US-based research and engineering teams from the ground up. Joining early means you'll help shape both our technical recruitment strategy and operations, partnering closely with Research leadership across Research Science, Research Engineering, and adjacent technical functions. Your work will directly influence Mistral's frontier-model ambitions by ensuring we find and engage exceptional researchers and engineers who will drive Mistral's growth in the US. In this role, you'll also foster a strong candidate experience and help establish technical recruiting best practices as we expand across the US. What You Will Do Technical Stakeholder Partnership - Partner deeply with technical leaders — from Research Scientists and Research Engineers to team leads and hiring managers — to understand hiring needs, define role specs, and identify the right technical talent - Own full-cycle recruitment across Research Science and Research Engineering, with flexibility to support other technical roles as they come along - Advise hiring managers on market mapping, leveling, comp positioning, and the competitive landscape for US research and engineering talent - Translate the nuances of each technical role into compelling, accurate candidate outreach End-to-End Technical Recruitment - Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, competitive technical roles - Source passive and active candidates across US research and engineering talent pools — from PhD students and postdocs to experienced researchers and engineers at leading AI labs, universities, and technology companies - Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations - Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for top research talent Candidate Experience & Selling Mistral - Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory - Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and research credibility — to differentiate us against better-resourced labs - Provide candidates with real insight into our research agenda, compute access, publication culture, and the specific impact of their role - Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome Recruiting Operations & Data-Driven Improvement - Develop and refine technical recruiting processes, tools, and documentation to improve outcomes and efficiency - Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role) and propose targeted solutions - Build and maintain market maps, competitive intel, and talent pools for key US research and engineering segments - Standardize technical interview rubrics, scorecards, and debrief practices across US technical hiring teams Raising the Bar - Collaborate with Research leadership and the broader Talent team to continuously elevate our hiring standards - Contribute to defining and evolving our technical talent acquisition strategy in the US as we scale our research presence - Partner on employer-brand and outbound sourcing initiatives — including academic pipelines, conference presence, and open-source community engagement — that position Mistral as a destination for top research and engineering talent What We're Looking For - 6+ years of recruiting experience, including 2+ years in a startup or high-growth environment, with a focus on Research Science and Research Engineering roles - Demonstrated ability to independently hire across the technical stack — from Research Engineers to Research Scientists, and senior research talent - Deep network and sourcing expertise in US research and engineering talent markets, with credibility in AI/ML and ideally connections across top labs and universities - Track record of hiring in competitive, candidate-scarce markets where top researchers have multiple offers - Experience working across multiple US markets, including relocation and visa-driven hiring - Willingness to work on other roles as needs come up - Comfort navigating ambiguity and switching between strategic planning and hands-on execution - Strong written and verbal communication skills, with the ability to influence peers and senior technical stakeholders without direct authority - Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate - Professional experience with modern recruiting tools such as Ashby - Familiarity with the AI/ML research landscape and the ability to credibly discuss frontier model capabilities, research directions, and publications with technical candidates WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-time

By Mistral AISep 18, 2026

Negotiable

About the Role As an early career Software Engineer, you’ll work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is ideal for recent graduates with a strong foundation in software development and a passion for learning. This role is on-site at our HQ in San Francisco, CA and you’ll be placed into one of our engineering teams spanning Machine Learning, Platform Engineering, Infrastructure, and Inference. Responsibilities - Design, develop, and maintain high-quality software across our tech stack from low-level system to customer-facing UIs. - Collaborate with product managers, designers, and engineers to deliver features and improvements. - Take high autonomy over your work - own projects end to end - Participate in code reviews, debugging, and performance optimization. - Contribute ideas to shape the direction of our products and technical infrastructure. - Work on real, meaningful projects and learn from experienced professionals along the way. Requirements - Actively pursuing a degree in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2027 - Solid CS fundamentals (data structures, algorithms, systems thinking) - Past hands-on experience through internships, personal projects, or previous roles - Experience with version control systems (e.g., Git) and collaborative development workflows. - Ability to solve problems creatively and communicate trade-offs effectively. - Enthusiasm for learning and thriving in a fast-paced, collaborative environment. - Bonus: Experience with web development, databases, distributed systems, or cloud platforms, OSS contributions. 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. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $160,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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

👤 HumanFull-time

By Together AISep 18, 2026

Finance Intern

Negotiable

ABOUT WEAVIATE Weaviate https://weaviate.io/ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. About this role Are you passionate about finance, operations, and technology in the dynamic world of artificial intelligence? Here's your chance to make a significant impact as we seek a talented working student to join our growing team. As we continue to expand, we're looking for a Working Student Finance to assist with our day-to-day financial operations while taking the initiative to automate and optimize processes using modern AI tools. What you'll be doing - Processing accounts payable and accounts receivable (invoices). - Managing and actively following up on queries in the central finance inbox. - Executing operational tasks and controls within expense management systems such as Pleo and Ramp. - Proactively identifying opportunities and advising on automating and optimizing financial operations using AI tools. - Supporting the finance team with various day-to-day operational and administrative tasks. What we are looking for - Available for 16 hours per week, with flexible hours (preferably set at fixed moments). - Currently pursuing at least a Bachelor's degree (e.g., in Finance, Accounting, Business Administration, or a related field). - At least 1 year of accounting experience (such as processing bank transactions and accounts payable/receivable). - Someone with advanced proficiency in Dutch, capable of working with Dutch accounting and banking systems. - Hands-on knowledge and experience with various AI tools, such as Gemini, Claude, Copilot, and ChatGPT, to enhance productivity and process efficiency. - Excellent communication and collaboration skills. - Strong analytical and problem-solving skills with a proactive, self-starter mindset suitable for an international, remote-first environment. - Eager to learn and excited to contribute to the growth and continuous improvement of Weaviate's finance function. - You are aligned with our company values https://weaviate.io/company/about-us#values. WHAT WE OFFER - 100% remote with flexible work hours. - Competitive compensation, including paid time off https://weaviate.io/company/playbook/taking-time-off-at-weaviate. - Budget available to spend on going to conferences, co-working space, home office equipment, etc. - Work with very experienced and fun team members. - An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities. - You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source. ARE YOU INTERESTED? Have a look at this page https://weaviate.io/company/careers#interview-process to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

👤 HumanContract

By WeaviateSep 18, 2026

Systems Research Engineer Intern - GPU Programming...

Negotiable

Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April. Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills 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. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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

👤 HumanContract

By Together AISep 18, 2026

Systems Research Engineer Intern - GPU Programming...

Negotiable

Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills 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. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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

👤 HumanContract

By Together AISep 18, 2026

Negotiable

Role Overview As a Research Intern in the Model Shaping team, you will work on one or more of the following areas: - Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning - New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods) - Robust and reliable evaluation of foundation model capabilities The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. Past research led by Model Shaping interns resulted in the following publications: - Escaping the Verifier: Learning to Reason via Demonstrations (ICML 2026) - Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking (ICML 2026) - FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models (ICLR 2026) Responsibilities - Research and implement novel techniques in one or more of our focus areas - Design and conduct rigorous experiments to validate hypotheses - Document findings in scientific publications and blog posts - Integrate the research results into Together products Requirements - Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field - Strong knowledge of Machine Learning and Deep Learning fundamentals - Experience with deep learning frameworks (PyTorch, JAX, etc.) - Familiarity with the Transformer architecture and recent developments in foundation models Preferred Requirements - Prior research experience with training foundation models or efficient machine learning - Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP) - Understanding of model optimization techniques and hardware acceleration approaches - Contributions to open-source machine learning projects 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. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd in our San Francisco or Amsterdam office. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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

👤 HumanContract

By Together AISep 18, 2026

Staff Application Engineer

Negotiable

Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will be responsible for designing and operating production data pipelines in Databricks, integrating & curating data through a medallion architecture, and defining semantic and domain models in Unity Catalog with subject-matter experts. You will also build agents and retrieval-augmented applications directly on this governed data using Databricks capabilities such as Unity Catalog functions, Mosaic AI, and model serving. You will own your systems from architecture through production operations, applying strong engineering, data quality, security, evaluation, and observability practices throughout The ideal candidate is a hands-on data and software engineer who can turn ambiguous enterprise needs into reliable data products and focused AI-enabled solutions. The role will report to the Senior Manager, Enterprise Data and AI. Responsibilities: Data Pipelines and Semantic Layer (Primary) - Build and operate pipelines that ingest source-system data into Databricks using a medallion architecture across bronze, silver, and gold layers, with lineage, provenance, access controls, and logging. - Partner with subject-matter experts to define and evolve domain, ontology, and semantic models in Unity Catalog, then curate reliable data products into those models. - Own data quality for the pipelines and products you build, implementing tests, monitoring, and alerting so issues surface before they reach downstream consumers. - Integrate enterprise systems through APIs, events, and middleware while applying appropriate authentication, retries, reconciliation, and auditability. Agents on the Databricks Data Layer (Secondary) - Build production agents and retrieval-augmented applications grounded in governed Databricks data, using Unity Catalog functions as tools and Mosaic AI or model-serving capabilities. - Add authorization, approvals, and auditability for consequential actions performed through agents or AI-enabled orchestrations. - Create evaluation sets and observability for the agents you ship, including groundedness, latency, cost, and production feedback, and use the results to improve them. Engineering Fundamentals - Apply solid engineering practices, including automated testing, code review, CI/CD, documentation, on-call support, and concise design notes. - Own architecture decisions for your systems and communicate material tradeoffs clearly to technical and business partners. Required Qualifications: - Bachelor’s degree in a related field, or equivalent practical experience. - 8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role. - Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage. - Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving. - Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built. - Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support. - Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability. - Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar. - Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products. Desired Qualifications: - Experience with the Mosaic AI Agent Framework or Unity Catalog functions used as agent tools. - Experience with enterprise or federated search, vector databases, or permission-aware retrieval. - Experience with agent frameworks such as LangGraph, Pydantic AI, LangChain, or CrewAI. - Experience with LLM or agent evaluation and observability, such as MLflow tracing. - Experience with dimensional modeling or master data management. - Experience integrating Workday, ServiceNow, Coupa, Concur, Oracle, OneStream, or Ironclad. - Experience with GCP or AWS data services, dbt, containers, or serverless computing. For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position. Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

👤 HumanFull-time

By Riot GamesSep 18, 2026

Partner Development Manager, AI Partnerships

Negotiable

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 The Worldwide Alliances and Channels team develops and manages partnerships that help businesses adopt Stripe’s payments and financial infrastructure. These partnerships create new routes to customers, extend the reach of Stripe’s Sales teams, and help Stripe and its partners serve shared customers. The role sits on the Americas Alliances and Channels Tech Partnerships team. The team builds and executes joint go-to-market initiatives with major technology companies, with the goal of accelerating Stripe’s commercial growth. As part of this team, you’ll lead global partnerships across the artificial intelligence ecosystem, with an initial emphasis on leading AI labs. You’ll work across Sales, Marketing, Product, Solutions Architecture, and regional partnerships teams to develop shared opportunities and turn them into scalable global partner strategies. What you’ll do As a Partner Development Manager, you’ll define and build Stripe’s global partnerships across the artificial intelligence ecosystem, initially focusing on leading AI labs. Although the role sits on the Americas Alliances and Channels Tech Partnerships team, its mandate is global. You’ll establish relationships across partner organizations, develop shared value propositions, and translate early opportunities into joint commercial and product initiatives. This is an opportunity to build a new partnership motion from the ground up. You’ll start with focused opportunities, determine what works, and create a playbook that Stripe’s regional teams can apply around the world. Your work will span co-selling, co-marketing, and co-building. Responsibilities - Build senior relationships across the commercial, partnerships, product, and technical organizations of Stripe’s priority AI partners - Develop and execute global partner strategies, including shared value propositions, joint business plans, success measures, and operating cadences - Identify and launch co-selling, co-marketing, and co-building initiatives that create value for Stripe, its partners, and shared customers - Coordinate cross-functional teams across Sales, Marketing, Product, Solutions Architecture, Legal, Finance, and regional partnerships - Work with Product and technical teams to identify opportunities for product collaboration and support productive technical conversations with partners - Create repeatable partnership playbooks that regional teams can adapt for local markets and AI ecosystems - Assess partnership performance, identify opportunities and risks, and communicate progress clearly to senior stakeholders Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 8 or more years of experience in strategic partnerships, partner development, business development, or a related commercial role within technology or another complex business-to-business environment - Experience building a strategic technology partnership from its early stages and translating the relationship into joint commercial, go-to-market, or product outcomes - Experience developing and executing joint go-to-market plans with external partners and cross-functional Sales, Marketing, Product, or technical teams - Experience building relationships with senior external stakeholders and leading global or distributed teams through influence - Bachelor’s degree and willingness to travel Preferred qualifications - Experience managing partnerships with artificial intelligence companies, cloud providers, data platforms, developer platforms, or other global technology ecosystems - Understanding of the artificial intelligence and data value chain, including the commercial and technical considerations involved in building partner ecosystems - Experience across co-selling, co-marketing, and product or technical collaboration - Experience developing a partnership framework or playbook that was adopted across multiple regions or teams - Experience in payments, financial infrastructure, financial services, or commerce

👤 HumanFull-time

By StripeSep 18, 2026

Account Executive, AI Sales

Negotiable

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 The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do - Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue - Own the full sales cycle, from business case development, to deal structuring and negotiating, to close - Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams - Drive deal strategy and commercial negotiations for large, complex renewals - Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions - Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship - Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture Minimum requirements - * 8+ years of sales experience, preferably selling a technical product, with a track record of top performance - 4+ years leading complex sales cycles with Enterprise organizations required - Ability to understand technical requirements and craft solutions across multiple products - Ability to develop and execute account plans spanning multiple business units across complex organizations - A knack for working well with a wide range of people, both internally and externally - Strong presentation skills, particularly for in-person meetings with multiple stakeholders - Proven ability to lead complex negotiations involving bespoke commercial agreements - Superior verbal and written communication skills - Ability to operate in a highly ambiguous and fast-paced environment - Strong interest in technology and a deep understanding of the space

👤 HumanFull-time

By StripeSep 18, 2026

Web Content Engineering & AI Visibility Lead

Negotiable

As Lead of Web Content Engineering & AI Visibility on Datadog’s Web Experience team, you will own how we use our content management system (CMS), build and maintain the pages across datadoghq.com, and improve the technical SEO and AI discoverability that help those pages get found and cited. You will partner across Marketing, UX, and Engineering to turn content into effective web experiences and bring discoverability insights into planning and prioritization. You will also use AI, agents, and automation to shorten the path from recommendation to published page and make reporting and insights more accessible to stakeholders. This role offers the opportunity to shape how Datadog evolves its web presence as search and AI-driven discovery continue to change. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: - Build and maintain product, pricing, solutions, careers, about, and other pages across Datadog’s web properties, partnering with Engineering to support CMS templates, components, permissions, and workflows - Partner with Content, Product Marketing, and UX to prioritize web work, structure content for the web, and ensure requests have the scope and lead time needed for high-quality execution - Own technical SEO and AI discoverability across Datadog’s web properties, including structured data, heading structure, internal linking, metadata, crawlability, and how AI answer engines interpret and cite pages - Establish consistent structural standards across owned web properties and monitor site health to identify and address issues - Use AI, agents, and automation to streamline the path from recommendation to published experience and deliver dashboards and insights with less manual effort Who You Are: - Experienced building and maintaining web pages in a modern CMS such as DatoCMS, Contentful, Adobe Experience Manager, or a similar platform - Strong in technical SEO and AI discoverability fundamentals, including structured data, headings, internal linking, crawlability, and how AI answer engines interpret web content - Comfortable using platforms such as Conductor, Profound, or similar tools to measure discoverability and inform web decisions - Able to take content created for other formats and structure it into clear, effective web experiences - Experienced using AI, agents, automation, or reusable workflows to reduce repetitive work and improve operational efficiency - Organized across requests from multiple teams and able to plan and prioritize work while maintaining quality Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits & Growth: - Generous and competitive benefits package - New hire stock equity (RSUs) and employee stock purchase plan - Continuous career development and pathing opportunities - Employee-focused best in class onboarding - Internal mentor and cross-departmental buddy program - Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $119,000 - $159,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanFull-time

By DatadogSep 18, 2026

Manager II, Engineering - Database Monitoring (AI)

Negotiable

The Database Monitoring product is one of the fastest growing products at Datadog. We are not only monitoring databases, but providing self-healing loops on to our customers. For instance, we are building an AI agent which detects, remediates, validates, and deploys optimizations. We are seeking ambitious leaders who want to drive these initiatives from the ground up and own the lines of business which rely on them. You will help build and develop engineering teams, partner closely with Product, and help launch new capabilities that deliver measurable value to developers. AI-forward leaders with product engineering backgrounds will thrive in this role. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Launch new products and businesses into new markets. - Drive adoption and business outcomes alongside technical delivery, using customer feedback and product data to guide investment. - Continuously challenge the team to think about new vectors for market penetration. Our goal is to be in the toolkit of every company using a database. - Own the roadmap of the Database Monitoring product, with particular emphasis on AI features and developer personas. - Hire, mentor, and develop engineering managers and staff engineers across multiple geographies. Who You Are: - You have hands-on experience partnering directly with customers to refine product experiences, find product-market fit, and coach teams through the process. - You take ownership beyond product delivery, leading the go-to-market strategy and driving adoption and commercial success. - You have a proven track record scaling exceptional product engineering teams: hiring, coaching, performance management, and building appropriate team structures. - You have experience deploying applications on Postgres. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $244,000 - $305,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanFull-time

By DatadogSep 18, 2026

Manager I, Engineering - Code Intelligence

Negotiable

Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: - Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. - Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge. - Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org. - Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality. - Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. - Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time. Who You Are: - Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders. - Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, harness and tool-use development, and closed-loop evaluation systems including LLM-as-judge. - Strong product and customer mindset — you put solving customer problems first and know how to ship and iterate quickly. - Comfortable setting your own product strategy in an ambiguous environment rather than executing a pre-defined roadmap. - SDLC and developer tooling background is a plus but not required — strong AI and agent experience is what matters most. - Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Continuous professional development, product training, and career pathing - Intradepartmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) - Access to Inclusion Talks, our Internal panel discussions - Free, global mental health benefits for employees and dependents age 6+ - Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000 - $240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanFull-time

By DatadogSep 18, 2026

AI Product Engineer

Negotiable

Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. We are seeking a talented and motivated early-career software engineer to join the Match Group Core in a brand new role enabling greater productivity in non-technical teams through bespoke software and workflow solutions. Match Group Core is the central services division for Match Group, providing shared services and data solutions for all brands under the Match Group portfolio, including Tinder, Hinge, Match.com, POF, OKC, and many others. Additionally, Match Group Core is a technical service provider for many internal central and corporate teams, such as HR, Finance, Accounting, Legal, Privacy, Marketing, IT, and Security. With a special focus on internal product development and workflow enablement, you'll play a crucial role in designing, building, and maintaining internal products and workflow solutions (HR/People-focused) that benefit employees across the organisation. Most crucially, you will be enabled with extensive agentic tooling to achieve your goals, and in turn, you will be expected to impart your expertise on your stakeholders, and enable them with AI to achieve their own goals. This role is a paid, fixed-term 4-6 month internship, with an opportunity that this role can be converted into a full-time permanent position at the conclusion. This is also a hybrid role, and requires in-office collaboration three times per week. In this role, you will: In this role, you will: Partner directly with corporate teams (primarily HR) to understand their problems and ship working internal tools quickly: dashboards, portals, small web apps, reports, and integrations. Use AI-assisted development tools (Claude Code, Cursor, Codex, etc) as your primary means of building, while applying engineering judgement to what those tools produce. Administer, optimize, and expand a multi-tenanted Databricks platform to meet evolving analytics and business intelligence requirements. Teach and coach non-technical stakeholders to build and maintain their own AI-assisted workflows and tools, which may include running informal group sessions and pairing sessions, or producing guidance, templates, or sufficient guardrails that they can leverage or re-use. Develop and deliver solutions according to lightweight but sensible software development methodologies, with close collaboration MG Core's product engineering arm, to ensure what is built is secure and maintainable. Create and maintain clear documentation, including technical notes, integration docs, and operational and how-to guides written for a non-technical audience. Monitor and troubleshoot the tools you ship, providing timely fixes and keeping stakeholders informed. Keep up to date with the fast-moving AI tooling landscape and bring the best of it back to the team. Gain broad exposure across Match Group’s central services and corporate functions. You'll need: 0-2 years of professional experience as a software engineer, or a recent degree, diploma, or bootcamp qualification in a relevant field. Hands-on experience using agentic development harnesses and similar AI tools (Claude Code, Cursor, Codex, etc), with experience or familiarity with agentic instructions ( AGENTS.md , skills) and MCP servers. A strong understanding of foundational software principles and programming fundamentals, as well as development lifecycles, spanning source control (GitHub), CI/CD (automated testing and quality analysis), and monitoring (logs, metrics, error detection and troubleshooting). Familiarity with software delivery methodologies, such as agile scrum or kanban. Experience in building modern web frontends (using React or similar), as well as accompanying backend REST APIs. Familiarity with relational/SQL, as well as NoSQL or KV databases. Working knowledge of cloud platforms (such as AWS, GCP, Azure, Cloudflare), including conceptual understanding of serverless concepts. Strong interpersonal and communication skills - a significant part of this role is explaining technical work to non-technical people, so patience, empathy, and clarity matter as much as coding ability. Solid understanding of IT security concepts, as well as sound judgement around data sensitivity and confidentiality - much of what you build will touch employee and business data. Excellent problem-solving skills and a bias toward delivering value quickly rather than getting it perfect - as is the nature of internal tooling. Strong enthusiasm for software development and eagerness to learn and grow. Legally authorized to work in Canada for the duration of the internship. Nice to have: Any exposure to HRIS platforms, especially Workday - even light experience as a user or administrator of a HRIS or similar is valuable here. Experience in the Human Resources domain, or with people data, recruiting, payroll, or benefits systems. Experience working within specific cloud environments, namely Cloudflare (primary) and AWS (secondary). Experience working with serverless hosting technologies, such as Cloudflare Workers. Experience working within containerised environments, such as Docker and/or DevContainers. Exposure or experience working within project management tools such as Jira or Monday.com. Experience contributing to open source projects. Experience working at a B2B or SaaS company.

👤 HumanFull-time

By Match GroupSep 18, 2026

Sales Leader, Sales Development, Enterprise

Negotiable

Perplexity is seeking a Sales Leader to build and scale our enterprise BDR organization. In this second-line leadership role, you will inherit a team of Business Development Representatives, hire, coach, and lead BDR managers, equipping them to build high-performing teams that generate qualified pipeline for our Account Executives. This role is ideal for a creative, agile sales development leader who knows how to scale through managers without losing touch with buyers or frontline execution. In the near term you are expected to be hands on with BDRs and in the weeds. You will set the strategy, develop the team, and build an org that is adaptable to keep pace with the company quickly evolving. We are looking for someone who brings original ideas, moves rapidly from insight to execution, and knows when to scale, adapt, or stop an approach. You will build what works for Perplexity, not simply import a playbook from your last company. RESPONSIBILITIES - Hire, onboard, and develop BDRs and BDR managers, establishing clear expectations for team performance, coaching quality, hiring, and talent development - Own the organization's contribution to sourced pipeline and qualified opportunities, holding managers accountable for pipeline quality and conversion, not activity volume alone - Set the sales development strategy across inbound and outbound motions, partnering with Sales leadership on coverage, capacity planning, account prioritization, and resource allocation - Build a culture of creative experimentation across targeting, vertical messaging, channels, campaigns, and AI-native workflows; give managers room to test ideas, measure results, and scale what works - Lead with agility as products, buyer behavior, and business priorities evolve, translating new information into clear decisions and fast execution without creating unnecessary process - Coach managers to build vertical fluency and product expertise on their teams so BDRs can engage credible buyers and connect the right Perplexity offering to each account - Establish the management operating rhythm: manager 1:1s, pipeline and conversion reviews, coaching calibration, talent reviews, and a consistent performance scoreboard across teams - Partner with Sales, Marketing, RevOps, and Strategic Finance on campaign strategy, lead quality, routing, handoff standards, source attribution, headcount planning, and compensation design - Stay close to calls, messaging, and buyer feedback to identify patterns and remove systemic blockers while empowering managers to own day-to-day execution - Build a strong leadership bench and internal talent pipeline, developing BDRs into future Account Executives and high-performing managers into broader leadership roles QUALIFICATIONS - 8+ years in SaaS sales or business development, including 3+ years in sales development leadership - Proven track record of building or scaling a multi-team pipeline generation organization in a high-growth environment, with measurable improvements in qualified pipeline, conversion, and productivity - Demonstrated ability to hire, coach, and develop managers, build accountability through leaders, and improve performance without becoming the team's day-to-day manager - Creative approach to pipeline generation, with examples of original campaigns, messaging, channels, or workflows you tested and translated into repeatable results - Demonstrated agility in ambiguous, fast-changing environments; able to make sound decisions with incomplete information, learn quickly, and change course when evidence warrants it - Strong commercial judgment and experience aligning sales development priorities with enterprise sales cycles, buyer needs, and revenue goals; prior closing experience strongly preferred - Data-driven operating style with experience in funnel analysis, capacity planning, forecasting pipeline contribution, and distinguishing meaningful outcomes from vanity metrics - Hands-on experience with modern prospecting tools, AI-native sales workflows, and CRM systems such as Salesforce, with a clear point of view on where automation improves execution and where human judgment matters - Exceptional written and verbal communication; able to align senior cross-functional stakeholders and translate strategy into clear priorities for managers and their teams - Bachelor's degree or equivalent experience

👤 HumanFull-time

By PerplexitySep 18, 2026

Member of Technical Staff (Search Core, Indexing &...

Negotiable

Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

👤 HumanFull-time

By PerplexitySep 18, 2026

Consumer Support Specialist

Negotiable

ABOUT THE TEAM The User Operations team at Perplexity AI is the frontline of our user experience. We ensure that our AI-powered search and answer engine delivers real value to every user—from individual consumers to teams and organizations. Our team operates across 3-4 active support channels—email, in-app messaging, Slack, and community—and collaborates closely with Product, Engineering, Billing, and Growth to turn user feedback into product improvements. We’re a lean, fast-moving group at a startup that ships constantly, so everyone on the team wears multiple hats and contributes well beyond just resolving tickets. ABOUT THE ROLE Perplexity launches new features and products at a rapid pace—and this role sits at the center of that. We need a User Operations Generalist who combines excellent customer support instincts with real technical depth. You’ll handle high volumes of user inquiries across channels while also digging into product issues, using customer feedback to uncover problems, and providing solutions that improve the experience for everyone. This isn’t just ticket work. As new features and products ship, you’re the person who hears about it first from users—what’s working, what’s confusing, and what’s broken. You’ll use those interactions to surface insights that shape how launches land, identify issues before they scale, and provide clear solutions back to users. You’ll also build automations and improve workflows that make the team faster and smarter, so we can keep up with the pace of the product without sacrificing quality. You should be comfortable operating across multiple support channels and have experience standing up or optimizing multi-channel support operations—not just working in them, but thinking critically about how they’re structured, routed, and scaled. This role requires someone who can navigate ambiguity and fill in the gaps where processes don’t yet exist. You won’t always have a playbook—and that’s the point. We need someone who can define the path forward, not just follow one. You’re a strong, independent operator who doesn’t need to be told what to do next: - You see the gap—whether it’s a missing Help Center article, a broken workflow, or a pattern in user tickets—and you move to fix it - You’re self-motivated and take initiative, but you also know when to ask questions - You communicate effectively with the team—keeping people informed, surfacing blockers early, and making sure nothing falls through the cracks - We won’t hold your hand through this role, and we wouldn’t want to—because you’re the kind of person who thrives when given ownership and trust RESPONSIBILITIES - Handle a high volume of user inquiries across channels (email, chat, Slack, community) with speed, accuracy, and empathy for both consumer and business users. - Deliver excellent customer support—clear, thoughtful, and human—even under pressure and at scale - Triage and prioritize effectively to keep response and resolution times on target - Use customer feedback and support interactions as a primary source for uncovering product issues, UX confusion, and feature gaps—especially as new products and features launch - Investigate and troubleshoot product issues: reproduce problems, isolate root causes, provide users with solutions or workarounds, and document findings for Engineering - Guide users through technical troubleshooting: AI search, LLM behavior, account configuration - File well-documented bugs in Linear with enough context for Engineering to act immediately - Leverage AI tooling and automation (Intercom, scripts) to streamline operations, reduce repetitive work, and scale support quality - Write and maintain Help Center articles, internal SOPs, escalation playbooks, and troubleshooting guides - Communicate cross-functionally—surface user insights to Product and Engineering, escalate issues, close the loop, and keep teammates informed - Track support KPIs and propose data-driven process improvements REQUIREMENTS - 3+ years in customer support, user operations, or technical support—ideally at a SaaS or tech company - Proven ability to manage high ticket volumes while maintaining quality and empathy - Excellent customer-facing communication: clear, professional, and adaptable to different audiences - Technical aptitude: comfortable working through product issues, navigating technical questions independently, and learning new tools and systems quickly - Hands-on experience with AI tools and automation platforms (Intercom workflows, scripting) to improve operations - Familiarity with AI, LLMs, or search technologies - Strong internal communication—keeps their immediate team informed, writes crisp updates for immediate team and cross-functional partners (Product, Engineering, etc.), and ensures stakeholders stay in the loop on issues and progress - Self-motivated and proactive: manages own priorities, takes initiative, delivers without waiting for direction - Experience creating user-facing documentation (e.g., Help Center articles, FAQs, guides) as well as internal SOPs, templates, and playbooks - Experience with multi-channel support operations—not just working across channels, but helping stand up, optimize, or scale how support is structured and routed - Comfortable in a fast-paced, high-volume startup environment with shifting priorities NICE TO HAVE - Experience with support and operations tooling such as Intercom, Parahelp, Linear, Notion, or Stripe. - Familiarity with prompting techniques and LLM optimization - Basic web tech understanding (HTTP, REST APIs, JavaScript, HTML) - Data analysis tools (SQL, Looker, Snowflake) - Scripting or lightweight automation background (Google Apps Script, Python) - Experience at an early-stage or high-growth startup WHO YOU ARE You’re the kind of person who: - Sees a gap and fills it before anyone asks - Thrives in high-volume environments and keeps quality high even when things move fast - Thinks creatively—you don’t just follow the playbook, you look for better ways to solve problems and aren’t afraid to try something new - Treats every user interaction as a chance to learn something about the product - Gets energized by building automations that save the team hours - Communicates with clarity—whether writing a Help Center article, filing a bug, or updating the team in Slack - Takes full ownership end-to-end: you don’t just escalate, you follow through WHY PERPLEXITY? Impact at Scale – Your work directly influences millions of users and shapes the future of AI-powered search. Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality. Cutting-Edge Tech – Operate at the forefront of applied LLMs and help define how AI transforms customer support.

👤 HumanFull-timeRemote

By PerplexitySep 18, 2026

International Marketing Lead, SMB Ads

Negotiable

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 hiring an International Marketing Lead, SMB Ads, reporting to the Head of SMB Ads Marketing, to build and scale OpenAI’s SMB Ads business outside the United States. You will own SMB business targets across international markets and lead the team and cross-functional plans that deliver advertiser acquisition, activation, retention, and revenue growth. This is a strategic and hands-on leadership role at the intersection of product marketing, growth marketing, demand generation, lifecycle marketing, partnerships, and sales enablement. You will directly manage the international SMB Ads marketing team and lead its work within a global matrix: set country priorities and resource choices, translate global strategy and capabilities into regional and local execution, and bring local insight back to shape global plans. In this role, you will: - Own international advertiser and revenue targets. Translate them into country plans spanning acquisition, activation, retention, expansion, and advocacy. - Prioritize countries based on market potential, product readiness, channel economics, and regulatory and operational requirements. Balance global consistency with local relevance. - Launch locally relevant go-to-market programs with regional marketing, sales, and partnership leaders across positioning, demand generation, lifecycle, education, offers, and conversion. - Improve the international advertiser experience with Product, Engineering, Data Science, and Operations, from signup and campaign creation to payments, measurement, support, and trust. - Align regional sales leaders around shared growth goals, market plans, enablement, and coordinated customer engagement. - Direct investment across markets and programs. Align budgets, team capacity, agency resources, and global capabilities with growth opportunities, and refine allocation as results emerge. - Lead international performance reviews, forecasting, and growth initiatives with Sales, Product, and Finance. Use experimentation, funnel insights, and return on investment to improve results. - Hire, coach, and develop the international SMB Ads marketing team. Establish clear goals and a culture of experimentation, collaboration, and accountability. - Connect regional and local insights to global strategy. Establish planning and review rhythms that shape marketing, product, and operational roadmaps. You might thrive in this role if you: - Bring significant experience owning international business or growth targets, with measurable customer and revenue results in SMB, self-serve, advertising, SaaS, marketplace, commerce, or fintech businesses. - Demonstrate success hiring and developing marketing teams, scaling across countries, and leading collaboration among global, regional, and local teams. - Balance global strategy with local customer needs, prioritizing investment across markets, segments, and programs. - Understand how to acquire, activate, educate, and retain SMB customers at scale. - Use funnel data, market research, customer insight, and experiments to make clear decisions in evolving markets. - Build trusted partnerships with regional sales and marketing leaders, global specialist teams, Product, Engineering, Partnerships, Legal, and Operations. - Combine growth, lifecycle, content, partner, and field programs into effective market plans. - Bring familiarity with advertiser acquisition, campaign setup, and education on platforms such as Google Ads, Meta Ads, TikTok for Business, Amazon Ads, Reddit, or Snap. - Translate strategy into execution, launching programs, evaluating results, and scaling successful approaches. 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.

👤 HumanContract

By OpenAISep 18, 2026

Clinical Supply Chain Manager

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As Clinical Supply Chain Manager, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making London your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is £62,400 to £84,000. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

👤 HumanFull-timeRemote

By RecursionSep 19, 2026

Associate Director, Clinical Supply Chain

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As the Associate Director of Clinical Supply Chain, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making London your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is £84,000 to £98,900. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

👤 HumanFull-timeRemote

By RecursionSep 19, 2026

Head of Finance - Data Centers

Negotiable

About the Role As Head of Finance - Data Centers, you will be the finance leader for OpenAI’s self-built data center efforts. You will partner with teams across infrastructure, real estate, energy, construction, procurement, and finance to turn proposed sites into sound investment decisions and funded projects. This role spans the full development lifecycle: evaluating opportunities, building investment cases, forecasting capital needs, managing construction budgets, and helping determine how projects should be financed. You will give leadership a clear view of project economics, funding requirements, and risks as we build data center capacity at scale. In this role, you will: - Lead financial evaluation of proposed data center and related power infrastructure projects, including site economics, development costs, capacity phasing, lifecycle costs, and key risks. - Build and own project-level models and capital expenditure forecasts that connect construction schedules, power delivery, equipment procurement, contingencies, and funding needs. - Establish capital budgets and financial controls for active builds. Track commitments, actual spending, change orders, and forecasts to completion; identify cost or schedule risks early. - Partner with development, engineering, energy, construction, and procurement leaders on decisions that affect cost, timing, and long-term performance. - Work with Treasury, Corporate Finance, Tax, and Legal to evaluate financing options, including project or construction debt, leases, joint ventures, and other partnership structures where appropriate. - Prepare investment recommendations and capital approval materials for senior leadership, translating complex project details into clear choices and tradeoffs. - Build a consistent portfolio view of project costs, cash requirements, milestones, and financial performance. Partner with Accounting and operations teams through project completion and handoff. You might thrive in this role if you have: - Prior experience as the finance leader for large-scale data center builds or major electric generation projects. You have directly owned investment analysis, capital budgets, and financial decisions through development and construction. - Prior experience in investment banking or private equity. This is a strong preferred part of the background for this role. - 10+ years of experience across strategic finance, infrastructure finance, project development, or related fields. - Strong command of project finance, capital project economics, capex and cash flow forecasting, budget management, and the financing structures used to develop large infrastructure assets. - Excellent financial modeling skills and the judgment to test assumptions, quantify uncertainty, and recommend a path forward. - Working knowledge of construction cost drivers and risks, including utility and power timelines, procurement, contracts, and change orders. - The ability to work closely with technical and construction teams while communicating clearly with senior finance and business leaders. - Strong track record of hiring, leading and developing high performing 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.

👤 HumanFull-time

By OpenAISep 18, 2026

Enterprise Field Marketer

Negotiable

About the Team The Enterprise Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI. Within Enterprise Marketing, the Field Marketing team is responsible for translating business priorities into high-impact customer engagement motions across industries, regions, and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers. About the Role As an Enterprise Field Marketer, you will be a growth partner to Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts. Your focus will attach to the business’s most important needs at any given time, whether that means an industry motion, a regional priority, a strategic account, an executive engagement, or a new company-wide growth opportunity. You will own the full program lifecycle: translating sales priorities into field plans, identifying the right accounts and moments, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can move from territory strategy to tactical execution quickly, with strong commercial judgment and high accountability for outcomes. This role is based in San Francisco, CA or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Travel is expected for customer events, executive programs, industry conferences, and internal planning moments. In this role, you will: - Build and execute field marketing plans aligned to priority seller groups, strategic accounts, industries, and regions. - Partner closely with Sales leadership on account prioritization, territory planning, outreach strategy, pipeline goals, and follow-through. - Own the full lifecycle of field programs, from strategy and planning through execution, seller enablement, follow-up, and measurement. - Run high-impact customer programs including executive dinners, roundtables, forums, workshops, industry moments, roadshows, and third-party conference activations. - Turn marquee moments into measurable pipeline opportunities with clear target accounts, success metrics, seller ownership, and post-event conversion plans. - Collaborate with Product Marketing, Events, Comms, Marketing Operations, Solutions, Customer Success, Partnerships, and executive stakeholders to deliver compelling customer experiences. - Track performance, communicate business impact, and build repeatable playbooks that help field marketing scale across enterprise segments. You might thrive in this role if you: - Have 8+ years of experience in enterprise field marketing, ABM, regional marketing, sales enablement, or related B2B growth roles supporting complex sales motions. - Have a track record of creating measurable pipeline impact through field programs, executive engagement, account-based programs, or industry marketing. - Understand enterprise buying cycles, pipeline creation, stage progression, and how field marketing can influence seller productivity. - Have partnered closely with enterprise sellers and sales leadership on territory planning, account prioritization, QBRs, pipeline reviews, and follow-up. - Can operate across strategy and execution: you can shape the plan, manage stakeholders, and personally drive the details. - Are highly organized, commercially minded, resourceful, and comfortable making progress when inputs are incomplete. - Communicate clearly and can influence senior stakeholders across Sales, Marketing, Product, and customer-facing teams. - Are energized by AI and excited to help enterprises turn new technology into measurable business value. 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.

👤 HumanFull-time

By OpenAISep 18, 2026

Payroll Analyst

Negotiable

We are seeking an experienced and detail-oriented US Payroll Specialist to oversee our end-to-end multi-state payroll operations. In this role, you will ensure accurate, timely, and compliant payroll processing for all US-based employees while managing internal payroll initiatives. The ideal candidate is a strategic problem-solver with deep expertise in US labor laws, taxation, and ADP+Workday payroll systems. You will: - Full-Cycle Payroll Processing: Oversee the accurate and timely processing of multi-state bi-weekly and semi-monthly payrolls for over a thousand exempt and non-exempt employees across most of the USA. - Compliance & Taxation: Ensure strict adherence to federal, state, and local tax laws, as well as FLSA regulations. Monitor regulatory changes and update internal systems accordingly. - Year-End Processing: Manage year-end payroll activities, including W-2 and W-2c generation, fringe benefit reporting, and annual tax reconciliations. - Cross-Functional Collaboration: Partner closely with HR to ensure accurate data flow for onboarding, offboarding, benefits deductions, and compensation changes. Ability to work with Accounting to ensure accurate general ledger mapping, month-end close procedures, and payroll account reconciliations. - System Administration & Optimization: Act as the primary subject matter expert for our payroll system (e.g., Workday, ADP). Identify bottlenecks, recommend process improvements, and lead system upgrades or implementations. - Issue Resolution, Continuous Improvement & Auditing: Conduct regular audits of payroll data to identify and resolve discrepancies. Serve as the ultimate point of continuous improvement with AI and other methodologies to ensure Scale’s payroll processes are best in class. Ideally you'd have: - 5+ years of payroll experience. - Strong organizational skills; the ability to get all priority tasks completed by the end of each day. - Confidentiality and integrity. - Accuracy under pressure and extreme attention to detail. - Experience with ADP WorkforceNow and Workday. - Bachelor’s degree. - Technical proficiency. Nice to haves: - Advanced AI technical skills. - Excellent communication skills. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $121,600 - $152,000 USD 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.

👤 HumanFull-time

By Scale AISep 18, 2026

Global Transportation Programs, Senior Manager

Negotiable

About the Team The Real Estate & Workplace (REW) team creates and operates the workplaces and services that help OpenAI employees do their best work. Within Workplace Experience, Transportation connects our global office network through programs designed around employee needs, local conditions, and operational excellence. About the Role As Global Transportation Program Sr. Manager, you will own the strategy, expansion, and day-to-day performance of OpenAI’s employee transportation programs. You will make it easier for employees to get to and between our workplaces through reliable, accessible, and cost-effective commuting options. We’re looking for a builder who has launched and scaled employee transportation programs across countries in a fast-growing organization. You will translate our global workplace expansion plans into a transportation roadmap, establishing the systems, vendor partnerships, and operating practices needed to support new markets and growing offices. You’ll balance global consistency with local needs, creating repeatable approaches that enable local teams to deliver reliable service as the company scales. Location and work model: San Francisco, CA based, with required travel up to 10% to our global offices. This role will be in office Monday - Wednesday, with the option to work from home Thursdays and Fridays. In this role, you will: - Own a global transportation expansion roadmap aligned with office openings, headcount growth, and changing commute demand. Prioritize investments, forecast capacity and costs, and lead launches from market assessment through operational readiness and ongoing service delivery. - Manage the global employee transportation portfolio across shuttles, parking, micromobility, transit and commuter benefits, and EV charging. Determine the right service mix for each market based on employee needs, local infrastructure, accessibility, and cost. - Build a scalable operating model across regions, including repeatable launch playbooks, clear global and local ownership, vendor standards, integrated tools and reporting, and training for local teams. Adapt programs to local infrastructure, regulations, and benefit practices without rebuilding the approach for every office. - Manage transportation vendors from sourcing and onboarding through service reviews, renewals, corrective action, and transitions, partnering with Strategic Sourcing and Legal on commercial terms. - Own program budgets, forecasts, invoice review, and business cases; use utilization and cost data to recommend where to invest, optimize, or retire services. - Partner with Workplace Operations, Real Estate, Facilities, Corporate Security, People/Benefits, Payroll, Finance, Legal, IT, and Internal Comms to clarify ownership and deliver integrated programs. - Work with Benefits, Payroll, and Legal to design and administer transit benefits, parking eligibility, subsidies, and reimbursement policies appropriate to each market. - Establish clear service levels, incident escalation, backup plans, and outage communications so employees can navigate disruptions safely and confidently. - Improve the end-to-end employee journey, including discovery, enrollment, booking, support, and feedback; build clear intake, tracking, and resolution processes with internal teams and vendors. - Measure service reliability, adoption, capacity utilization, employee satisfaction, accessibility, and cost effectiveness; turn findings into improvements and concise leadership recommendations. You might thrive in this role if you: - Have directly built and scaled employee transportation programs across multiple countries during significant organizational growth, with demonstrated results in new-market launches, service reliability, adoption, and cost management. - Bring hands-on experience across multiple transportation modes, including shuttles, parking, micromobility, and transit or commuter benefits, with the ability to manage an integrated portfolio. - Can turn ambiguous expansion needs into practical plans, budgets, operating standards, and clear decisions while staying close to daily service delivery. - Have managed complex vendor relationships and commercial performance, including service levels, budgets, procurement processes, and service recovery. - Use data to evaluate demand, service quality, utilization, and cost, and can explain tradeoffs clearly to employees, partners, and leaders. - Build effective partnerships across functions, regions, and external providers, and can drive decisions and accountability without relying on formal authority. - Apply sound judgment to safety, accessibility, local requirements, and employee data, bringing in the right specialists when needed. - Communicate clearly, act on feedback, and remain calm and accountable during service disruptions or changing priorities. - Experience with commute-management platforms, transportation demand management, sustainability measurement, or systems integrations is a plus. 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.

👤 HumanFull-time

By OpenAISep 18, 2026

Engineering Manager, Library

Negotiable

Negotiable

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 Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale. You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity. You'll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. You'll collaborate closely with other orgs to drive world-class security, usability, reliability, and capacity/cost efficiency: both for the data we store, and the ways we make it accessible to power a wide range of workflows. You'll partner with research, training, infrastructure, business, and data teams to understand our storage needs and opportunities, today and in the future. You'll drive strategic investments that uplevel Anthropic's ability to ship safe, useful AI at speed. Key Responsibilities - Shape the technical strategy and architecture for Anthropic's storage layers - Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements: everything from large-scale ML and training workloads, to financial data processing with strong controls - Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives - Translate user needs into scalable, achievable system designs and drive alignment - Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it - Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed - Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives - Plan and lead large migrations of critical workloads with user minimal disruption - Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call - Stay hands-on in code and production, including in the most critical and complex areas Minimum Qualifications - Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service. - Deep understanding of storage system fundamentals, including: Replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations - Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on - Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java - Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency - Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders 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: $1 - $2 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.

👤 HumanFull-time

By AnthropicSep 18, 2026

Forward Deployed Engineer (FDE), Financial Service...

Negotiable

ABOUT THE TEAM OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. ABOUT THE ROLE We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions https://openai.com/index/introducing-chatgpt-financial-services/. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. IN THIS ROLE, YOU WILL - Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows. - Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes. - Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance. - Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures. - Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks (e.g., accuracy, latency, coverage, false positives) and use results to drive iteration. - Own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes. - Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions. - Surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries. - Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences. - Have experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes, and understand how incentives and controls shape adoption. - Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks. - Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes. - Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture. - Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns. - Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes. 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.

👤 HumanFull-time

By OpenAISep 18, 2026

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