Rosalind Life Sciences Product Manager

Details

About the Team

The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products that help scientists accelerate research and leverage the full potential of AI for scientific work.

Rosalind Workbench brings together scientific tools, data sources, interactive biology file viewers, and core life sciences workflows in a central environment. It helps scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI model, including GPT-Rosalind, a dedicated life sciences model combining frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications.

Responsibilities

• 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, including data protection, administrative controls, research-system integrations, 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.

Requirements

• 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.
• Substantive life sciences experience through research, industry, or building tools for scientists. The ability to discuss experimental design, data quality, and biological interpretation with researchers is required. An advanced degree is helpful, but equivalent practical experience is accepted.
• Strategic judgment combined with a hands-on builder mindset, including prototyping ideas, choosing focused use cases, and staying close to execution.
• Experience building model evaluations or benchmarks, ideally for scientific or agentic workflows, and assessing validity, uncertainty, and reliability.
• The ability to translate between scientists, engineers, designers, and commercial teams.
• Technical fluency in data and tool integrations, model limitations, and the tradeoffs involved in reliable scientific workflows.
• Sound judgment regarding evidence, uncertainty, privacy, and safety, with the ability to build evaluation and expert feedback into product development.
• Experience shipping into life sciences, pharma, or regulated research environments, with an understanding of data governance, compliance, and responsible access to sensitive capabilities.
• Curiosity, user empathy, and a high bar for usability, with motivation to make advanced AI useful across everyday research.

Benefits

• Base salary of $347,000–$468,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses and commuter benefits.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.

This position is based in San Francisco, California. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.