Senior​/Lead Product Manager, RWE​/Pharma; Fully Remote

Overview

Genomenon is an AI-driven biomedical intelligence company on a mission to save and improve lives by making biomedical information actionable. Rare diseases and cancer affect millions, and our goal is to deliver information that shapes diagnosis and treatment for every rare disease and cancer patient. We sit at the intersection of AI, genomics, and real world evidence (RWE) to transform the global scientific literature into clean, clinically actionable datasets for precision medicine.

Our platforms and services are used by clinical laboratories and pharma organizations worldwide to support diagnostic interpretation, variant curation, and evidence-based decision-making across the drug development lifecycle. Each year, our technology informs care for tens of thousands of patients facing rare, complex conditions, reducing uncertainty and delivering answers when they matter most. We combine advanced AI with expert human curation to support both clinical diagnostics and pharmaceutical innovation on a shared foundation of data quality and rigor.

In the clinic, our solutions influence real world patient outcomes. In pharma, we enable teams to harness literature-derived RWE across clinical trial development, regulatory, and commercial workflows. We aim to be the trusted data layer for genomic diagnostics and precision therapeutics.

We are hiring a Senior Product Manager to own strategy and delivery for Genomenon's Literature-derived Real-World Evidence (RWE) data products and software platforms supporting rare disease and cancer diagnostics and drug development. You will partner with executive, engineering, scientific, data, and commercial teams to define product direction, translate customer and market needs into clear priorities, and ship solutions that are scientifically credible, commercially valuable, and measurable in impact.

• Set and drive product vision, roadmap, and quarterly priorities for AI-driven RWE products and expert-curated datasets.
• Lead planning and execution across the full product lifecycle (discovery → requirements → build → launch → iteration).
• Align stakeholders and make tradeoffs across scale, speed, scientific rigor, and customer trust.
• Guide the work of a small AI team and ensure engineering has clear, actionable requirements and success metrics.
• Evolve the hybrid model that combines AI and expert curation to meet pharma customer needs.

This role is ideal for a strategic, hands-on product leader with experience in real-world evidence and advanced AI applications in biomedicine who thrives in a fast-paced environment and wants to build mission-driven technology that improves patient outcomes.

• Product Management
• Own strategy and delivery for AI-extracted RWE products and expert-curated datasets.
• Lead customer discovery, market research, and competitive analysis to shape roadmap and differentiation.
• Partner with Marketing and Commercial on go-to-market plans, messaging, and sales enablement.
• Write and maintain product requirements, user stories, and roadmaps; drive sprint-level execution with Engineering/AI leaders.
• Define product positioning, boundaries, and customer expectations across AI insights and curated data.
• Set quality standards for AI outputs with AI, Science, and Curation leaders.
• Decide where to automate vs require expert review based on use case, regulatory sensitivity, and scientific risk.
• Ensure release readiness, including user acceptance testing for releases.

• Portfolio and Strategy
• Build and maintain an integrated roadmap balancing innovation, commercial potential, and scientific rigor.
• Translate emerging AI capabilities into trusted pharma offerings.
• Develop packaging and tiering for different pharma use cases (discovery, translational, clinical, medical affairs).
• Communicate product vision and progress to executives and cross-functional stakeholders.

• Product Operations
• Establish governance and documentation for AI-driven data products (provenance, assumptions, limitations, review cycles).
• Support customer diligence, audits, and technical deep dives with Scientific and Commercial teams.
• Define and track KPIs (revenue,…