Note: The job is a remote job and is open to candidates in USA. Beacon is leading a search for a venture-backed company building an applied AI + data platform for life sciences teams. The Senior Product Manager will own the strategy and execution for data-driven products that help customers access and utilize complex clinical datasets for R&D and clinical development workflows.
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
Skills
- 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
Benefits
- Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)
Company Overview
Company H1B Sponsorship