Senior Product Manager, Life Sciences Data Products

Beacon is leading a search for a venture-backed company that is building an applied AI and data platform for life sciences teams. The Senior Product Manager will own the strategy and execution for data-driven products that help users access and evaluate clinical datasets, collaborating with engineering and data teams to deliver scalable product capabilities.

Responsibilities:

• Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes
• Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services
• Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness
• Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling)
• Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes
• Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects
• Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices

Requirements:

• 5+ years building data products or platforms for life sciences and/or healthcare customers
• Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership
• Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code)
• Track record partnering with engineering and data teams to deliver complex, high-impact product work
• Excellent communication—credible with technical teams and clear with non-technical stakeholders
• Comfort operating in a fast-moving environment with evolving inputs and limited process
• 0→1 product experience or taking early products to scale in a regulated domain
• UX/product design sensibility with strong intuition for end-user workflows
• Prior experience in analytics, data science, or experimentation
• Familiarity with privacy, governance, and quality frameworks for sensitive datasets