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Role Description

We’re 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.

In this role, you will:

• Set and drive product vision, roadmap, and quarterly priorities for our AI-driven real-world evidence products and expert-curated biomedical 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, high-performing AI team and ensure engineering has clear, actionable requirements and success metrics.
• Evolve our hybrid model that combines AI and expert curation to meet pharma customer needs.

Qualifications

• Bachelor’s degree in a relevant field (e.g., Life Sciences, Computer Science, Engineering, Business, or a related discipline).
• 5–10+ years of product management (or equivalent) work in a software-, data-, or AI-driven environment.
• Demonstrated ability to turn complex scientific or data workflows into clear, scalable, and defensible customer offerings.
• Proven track record of building or supporting AI/ML-enabled products, including LLM-based tools.
• Strong domain background in healthcare, genomics, clinical diagnostics, pharma, or health IT, with particular familiarity with real-world evidence data products.
• Demonstrated fluency working with structured biomedical data, such as patient records, genetic data, and variant interpretation outputs.
• Proven ability to manage products that combine algorithmic outputs with expert human review and/or annotation workflows.
• Familiarity with real-world evidence generation, interpretation, and use in regulated or semi-regulated pharma environments.
• Ability to clearly communicate AI-derived insights, limitations, and validation approaches to non-technical stakeholders (e.g., pharma customers, executives, regulators).
• Exceptional ability to translate across technical, operational, and business contexts, aligning teams and stakeholders around shared outcomes.
• Working knowledge of agile product development methods and tools (e.g., Jira, Confluence, Trello), plus familiarity with project management platforms (e.g., Asana, Monday.com, Smartsheet, Microsoft Project).
• Strong data fluency, including defining and tracking KPIs, using metrics to guide decisions, and sharing insights in plain language.
• Demonstrated ability to lead through change in fast-moving environments, staying resilient and bringing others along.
• Deep capability in customer discovery, including user research, persona development, and market and competitive analysis.
• Proven ownership of release readiness, including QA/UAT practices and continuous improvement of testing processes.

Requirements

• Proven leadership with the ability to earn trust and drive team performance.
• Highly organized with strong project and time management skills.
• Skilled communicator across executive, engineering, and peer teams.
• Strategic thinker with strong analytical and problem-solving capabilities.
• Results-oriented with a strong sense of ownership and accountability.

Benefits

• Building a diverse and inclusive team.
• Commitment to inclusion across race, gender, age, religion, identity, disability, and background.
• Encouragement to apply even if not meeting every qualification.