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About the Role

We are seeking a Product Manager to define the strategy and execution for Rosalind Workbench in the life sciences sector. You will collaborate with researchers, engineering, research, design, and customer-facing teams to transform AI capabilities into user-friendly products. This role offers the chance to shape the future of AI-driven scientific discovery and enhance the accessibility of AI for 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, 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

Product Strategy
Product Execution
Life Sciences
AI
Scientific Research
Product Management
Engineering Collaboration
Research Collaboration
Design Collaboration
Customer Engagement
Prototyping
Codex
Rosalind Workbench
GPT-Rosalind
Safeguards
Preparedness
Product Policy
Go-to-Market Strategy
Enterprise Readiness
Data Protection
Admin Controls
Research System Integrations
Security
Compliance
Procurement
Requirements Translation
User Needs Analysis
Technical Constraints Analysis
Adoption Driving
Scientific Rigor
Reproducible Analysis
Traceable Evidence
Uncertainty Visualization
Scientist Review
Product Data Analysis
Researcher Feedback Integration
Market Insight Analysis
Scientific Utility Improvement
Reliability Improvement
Business Impact Analysis
Complex User Problem Solving
Product Scaling
Commercial Success
Founder Experience
Experimental Design
Data Quality Assessment
Biological Interpretation
Strategic Judgment
Hands-on Builder Mindset
Focused Use Case Selection
Model Evaluation
Benchmark Creation
Scientific Workflows
Agentic Workflows
Validity Assessment
Reliability Assessment
Technical Fluency
Data Integration
Tool Integration
Model Limitations Understanding
Tradeoff Analysis
Evidence Assessment
Privacy Judgment
Safety Judgment
Expert Feedback Integration
Data Governance
Responsible Access
Sensitive Capability Management
User Empathy
Usability High Bar
Advanced AI Utility

Location

San Francisco, CA

Work Type

Full-time

Experience Level

Mid-level
Senior

Education Level

Advanced Degree (helpful)
Equivalent Practical Experience

Benefits

Relocation assistance

About the Company

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.
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.

Equal Opportunity

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.
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.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.