Genesis Molecular AI
Product Management Lead
San Mateo, CA
Sponsorship not specifiedDetected 343 days ago
Machine LearningA/B TestingUX ResearchProduct ManagementProduct StrategyResearchLab ResearchLeadershipCollaborationProblem Solving
About the role
- We are a mission-driven group of scientists and engineers using cutting-edge computational methods to discover drugs for unmet medical needs.
- Our work spans machine learning, computational chemistry, biology, and wet lab experimentation, all operating within a high-trust, deeply technical environment.
- You'll join a team with extremely strong ML talent that is actively pushing the frontier of AI in drug discovery.
Responsibilities
- Roadmap Ownership: Define, maintain, and communicate the technical and scientific product roadmap in alignment with company goals, ensuring prioritization of impactful projects.
- User research and design: Deeply understand user needs, translate workflow complexity into simple and effective product design.
- Execution Leadership: Drive projects from concept to completion, ensuring high-quality deliverables on time and within scope.
- Risk Management: Identify potential risks in product development and proactively implement mitigation strategies.
Requirements
- 5+ years of product management experience in a technical or scientific environment
- Proven ability to operate at the interface of ML and life sciences
- Experience leading complex, cross-functional initiatives
- You are someone who:
Nice to have
- Runs toward ambiguity rather than away from it
- Knows what you don't know and does not bluff in technical domains
- Thinks in systems and anticipates what will not scale
- Balances strategic thinking with hands-on execution
- Is motivated by advancing methods that impact real patients
- Bachelor's degree in Computer Science, Engineering, Chemistry, or related field (advanced degree preferred)
- Experience in biotech, pharma, frontier AI, or computational research environments is strongly preferred.
Benefits
- Passionate about innovation, problem-solving, and making a tangible impact on human health.
Company info
- We are refining how experimental data, biological context, and computational models integrate into a seamless feedback loop.
- You will help reshape how data flows from experiment → infrastructure → model → decision and increase the speed and scale at which we learn.
- This is a builder-integrator role inside a deeply technical, cross-domain environment spanning AI/ML, engineering, computational chemistry, biology, and wet lab operations.
- You will serve as the connective tissue and acceleration engine across these domains.
- You will work closely with senior leadership to own roadmap definition and execution across critical internal platforms while driving structural improvements in how our teams operate.
- This role exists to:
- Bridge domain silos and reduce friction between ML experimentation and biological context
- Operate at both the strategic systems level and the fiddly operational detail level
- Get hands dirty when needed
- Close the AI ↔ Chem loop so lab data is captured in standardized form, accessible for model training, and drives measurable model performance improvements
- Increase iteration speed by an order of magnitude from research idea to validated result
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