Rosalind Life Sciences Product Manager at OpenAI in San Francisco

Job description

• Application
• About the Team
• 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.

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, 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.

Requirements

• 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.

Skills

Required

• Product management
• Life sciences domain expertise
• Strategic judgment
• Hands-on builder mindset
• Model evaluation and benchmark building
• User empathy and high bar for usability

Preferred

• Founder experience

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
• More details about our benefits are available to candidates during the hiring process.
• The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.