Our Company
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 more than 30 million people in the U.S. alone and hundreds of millions globally, yet most patients still face long diagnostic journeys and limited treatment options. Our goal is clear and ambitious: to deliver the 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. Genomenon transforms the global scientific literature into a literature-derived real-world evidence (RWE) engine for precision medicine—combining large-scale AI with expert human curation to deliver clean, clinically actionable datasets. This approach fills critical gaps left by EHR and claims data, especially in rare disease and oncology, by showing how patients actually present, progress, and respond to therapy.
We turn vast, complex biomedical data—spanning genomics, clinical evidence, and scientific literature—into trusted intelligence that helps clinicians make better diagnostic and therapeutic decisions, and supports life sciences organizations in bringing better therapies to market faster.
Our work has real, measurable impact. Genomenon’s platforms and services are used by more than 250 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 helps inform care for tens of thousands of patients facing rare, complex, and time-sensitive conditions—reducing uncertainty and delivering answers when they matter most.
What makes Genomenon unique is our ability to support both clinical diagnostics and pharmaceutical innovation on a shared foundation of advanced AI, deep domain expertise, and rigorously curated data.
- In the clinic, our solutions directly influence real-world patient outcomes.
- In pharma, we enable teams to harness literature-derived RWE across clinical trial development, regulatory, and commercial workflows—turning fragmented biomedical knowledge into a strategic asset and emerging as the trusted data layer for genomic diagnostics and precision therapeutics.
If you’re motivated by impact, energized by complexity, and excited to help shape the future of rare disease diagnosis and treatment, there’s no better place to do that work.
Genomenon /ge.gno.mai.non/
Source language: ancient Greek
- Verb
to come into being
to be born out of need - Noun
the leader in genomic intelligence
Our Community
Genomenon team members are thoughtful, ambitious, and mission-driven professionals working across states and countries. Our team brings together scientists, clinicians, engineers, and commercial leaders who collaborate as equals and learn from one another every day.
We value curiosity, accountability, and people who thrive in fast-moving, high-impact environments.
We are guided by our core values:
- Always Learning: Approach challenges with curiosity and a growth mindset
- Data-Driven: Ask a lot of questions and look to the evidence for answers
- Humbly Confident: Aware of the value that we and others bring to the team
- Customer & Patient Driven: Put patients and customers first in everything we do
- True Grit: Embody passion and persistence, and aren’t afraid of hard work
This role requires experience in Pharma and Real World Evidence.
The Opportunity
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.
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.
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
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.
Position Responsibilities
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Product Management
- Own strategy and delivery for AI-extracted real-world evidence (RWE) products and expert-curated RWE 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 (PRDs/specs), user stories, and roadmaps; drive sprint-level execution with Engineering/AI leaders.
- Define clear product positioning, boundaries, and customer expectations across AI insights and curated data.
- Set quality standards for AI outputs (validation, confidence signals, acceptance thresholds) 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 major and minor releases.
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Portfolio and Strategy
- Build and maintain an integrated roadmap that balances innovation, commercial potential, strategic alignment, and scientific rigor.
- Translate emerging AI capabilities into trusted, commercially viable 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.
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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, adoption, delivery) and use them to drive prioritization.
- Improve operating cadence and cross-functional collaboration across teams.
About You
You are a mission-driven product professional and strategic, hands-on leader with a proven ability to earn trust and drive team performance in a fast-paced environment who thrives at the intersection of science, technology, and business. You know how to guide cross-functional teams, navigate technical complexity, and translate vision into clear, actionable plans. You bring clarity, energy, and accountability to every stage of the product lifecycle and you’re driven to help shape the future of precision medicine. You are comfortable operating in ambiguity and guide decisions with data-driven approaches to ensure alignment with executive decision makers and peers.
Skills and Background
- 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
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
Preferred
- Advanced degree in a life science, health IT, business, or technical field (e.g., MBA or PhD)
- Training or certification in product (e.g., Pragmatic Institute, AIPMM, CSPO/PSPO) or project management (e.g., PMP, PMI-ACP, SAFe, Scrum Master) is a plus
Our Commitment
Building a great company starts with building a diverse and inclusive team. We believe that people with different backgrounds, perspectives, and life experiences help us solve harder problems and build better solutions.
Genomenon is committed to inclusion across race, gender, age, religion, identity, disability, and background — in how we hire, how we work, and how we lead.
If you’re excited about the role but unsure whether you meet every qualification, we encourage you to apply. We’d rather review one more resume than miss the chance to meet someone exceptional.
