ABOUT THE TEAM   Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work.   Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI model, including GPT-Rosalind--our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions.   ABOUT THE ROLE   We’re looking for a Product Manager to shape Rosalind Workbench for life sciences. You will own product strategy and execution, working directly with researchers in academic labs, biotech, and pharma to understand where AI can meaningfully improve their work. You’ll partner with engineering, research, design, and customer-facing teams to turn emerging capabilities into intuitive products that scientists return to. This role calls for strong product judgment, depth in life sciences, and the ability to move from an ambiguous research problem to a focused, shippable experience. In this role, you will have the opportunity to define the future of AI guided scientific discovery and build the capabilities and tools that help advance the scientific frontier for researchers and help increase the accessibility of model intelligence for scientific use.   This is a chance to shape how AI shows up in one of the world’s most important and complex industries, with enormous room for product innovation, real-world impact, and long-term platform leverage. We move with urgency, hold a high bar for quality and trust, and care deeply about building products that can help improve human health outcomes. This position is based in San Francisco, CA, with relocation assistance available.   IN THIS ROLE, YOU WILL:   - Shape Rosalind Workbench’s strategy and roadmap, prioritizing high-impact workflows across discovery biology, verification, and CRO management. - Partner with engineering, research, and design to turn scientific data, tools, and models into intuitive workflows with the depth and control experts need. - Prototype with Codex, Rosalind Workbench, and GPT-Rosalind to validate ideas with scientists before committing engineering time. - Partner with Safeguards, Preparedness, Product Policy, and go-to-market teams to build responsible access to scientific capabilities into researcher onboarding and product workflows. - Drive enterprise readiness for pharma and biotech, spanning data protection, admin controls, research-system integrations, and security, compliance, and procurement requirements. - Own execution from discovery through launch and iteration, translating user needs and technical constraints into clear requirements and driving adoption with go-to-market partners. - Build scientific rigor into the experience through reproducible analyses, traceable evidence, visible uncertainty, and scientist review. - Use product data, researcher feedback, and market insight to improve scientific utility, reliability, adoption, and business impact.   YOU MIGHT THRIVE IN THIS ROLE IF YOU:   - Have a track record of shipping products that solve complex user problems, taking ambitious products from zero to one and scaling adoption or commercial success. Founder experience is a plus. - Bring substantive life sciences experience through research, industry, or building tools for scientists. You can discuss experimental design, data quality, and biological interpretation with researchers; an advanced degree is helpful, but equivalent practical experience matters. - Combine strategic judgment with a hands-on builder mindset: prototype ideas, choose focused use cases, and stay close to execution. - Have built model evaluations or benchmarks, ideally for scientific or agentic workflows, and know how to assess validity, uncertainty, and reliability. - Can translate between scientists, engineers, designers, and commercial teams. You have the technical fluency to reason about data and tool integrations, model limitations, and the tradeoffs involved in reliable scientific workflows. - Exercise sound judgment about evidence, uncertainty, privacy, and safety. You know that a convincing output is not sufficient proof of scientific validity, and you build evaluation and expert feedback into product development. - Have shipped into life sciences, pharma, or regulated research environments and understand data governance, compliance, and responsible access to sensitive capabilities. - Care deeply about helping scientists make discoveries. You combine curiosity and user empathy with a high bar for usability, and are motivated to make advanced AI useful across the realities of everyday research. 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. 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