Product Owner, Lifesciences
About The Position
We're hiring a Product Owner to help lead delivery of enterprise AI products for a major life sciences client's commercial organization. You'll sit at the intersection of client stakeholders, engineering teams, and business strategy — translating commercial pharma needs into product requirements, managing sprint delivery, and representing the product roadmap to senior client and internal leadership. This is a hands-on, high-visibility role. You'll work directly with a senior program lead on a flagship AI engagement spanning sales enablement, content generation, and commercial analytics products built on modern LLM architectures.
Requirements
- 4+ years in product ownership/product management, ideally on enterprise software or AI/ML products
- Comfortable working directly with client stakeholders at multiple levels, including senior leadership
- Strong writing and communication skills — you can turn messy requirements into a clean brief
- Working knowledge of agile delivery (Jira/Azure DevOps, sprint planning, backlog management)
- Based in NY or able to work core EST hours consistently
Nice To Haves
- Experience in pharma/life sciences commercial operations (sales force effectiveness, HCP engagement, omnichannel, market access, or similar)
- Familiarity with CRM/commercial tools common in pharma (Veeva, Salesforce, IQVIA, or similar)
- Exposure to LLM-based products, conversational AI, or agentic workflows
- Consulting or professional services background
Responsibilities
- Own the product backlog for one or more AI-powered commercial tools — writing user stories, defining acceptance criteria, and prioritizing sprint scope
- Act as the primary liaison between client business stakeholders and the delivery/engineering team
- Translate ambiguous business asks into clear technical requirements
- Run or co-run sprint ceremonies (planning, backlog grooming, demos, retros)
- Track delivery risks, dependencies, and scope changes; flag issues early
- Prepare client-facing status updates, roadmap decks, and executive summaries
- Partner with data science/engineering leads on feasibility and sequencing decisions
- Represent the voice of the field/end-user (sales reps, brand teams, marketing) in product decisions
Benefits
- Discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
