Data Scientist, B2B

About the Team Our B2B product organization is building the systems that will accelerate and automate how companies operate using AI coworkers.Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organizations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the center of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge. About the Role We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems. This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organizations adopt them, and how we measure their impact on work. You’ll analyze how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI. In this role, you will: Partner closely with product, engineering, and research teams to shape AI-powered enterprise products Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption Analyze how organizations use AI tools and identify opportunities to improve product experience and business impact Drive insights around enterprise adoption, retention, and value realization Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools Design experiments and evaluations that improve AI system performance and user outcomes Help define how companies operate with AI coworkers and automated workflows What We’re Looking For Must Have: Strong product analytics or data science experience Deep curiosity about AI systems and how they change how work gets done Ability to work closely with product and engineering teams in 0→1 product environments Strong analytical skills (experimentation, behavioral analysis, product metrics) Builder mindset — someone who wants to shape products, not just analyze them Nice to Have: Experience with B2B SaaS or enterprise analytics Experience with developer platforms, APIs, or technical products Background in AI/ML systems, agent frameworks, or LLM-based products Systems thinking around how complex tools and workflows operate at scale Who Thrives Here: AI-native — actively experimenting with and building with AI tools Product thinkers who want to shape the future of work Builders who enjoy early-stage ambiguity and 0→1 problems Operators who can work independently and drive large parts of a product area Impact You will help define: How organizations deploy and manage AI agents How AI transforms enterprise productivity The measurement systems behind AI-native companies This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world. 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 . 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 prote