Genomenon, Inc · 8 hours ago
Senior Product Manager (Fully Remote; US-Based)
United States
Full-time
Remote
Senior Level
5+ years expGenomenon is an AI-driven biomedical intelligence company focused on transforming biomedical data into actionable insights for rare diseases. The Senior Product Manager will own the strategy and delivery for literature-derived real-world evidence data products, collaborating with various teams to drive product vision and execution.
Developer ToolsEnterprise SoftwareGeneticsMedicalSoftware
Responsibilities
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
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
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
Qualification
Required
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
Company
Genomenon, Inc
Genomenon is a leading genomic intelligence company dedicated to improving the quality of patients’ lives by uncovering the genomic drivers of genetic disease and cancer.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$38.23MKey Investors
BeringeaNational Institutes of HealthMichigan Angel Fund
2024-05-16Series Unknown· $5.46M
2022-03-08Series B· $20M
2022-02-15Grant· $1.7M
Leadership Team
Mike Klein
Chief Executive Officer
Sean Kearney
Chief Financial Officer
Recent News
2025-11-07
Precedence Research
2025-10-17
Company data provided by crunchbase