We are seeking a Senior Product Manager to lead a portfolio of 45 GenAI-based products focused on transforming medical and clinical functions within the life sciences ecosystem.
The ideal candidate is a strategic thinker with strong product execution skills, comfortable building AI-driven products from ideation through scale, and able to work in a fast-paced, ambiguous environment. Life sciences domain expertise is an advantage but not essential and strong product rigor, problem-solving, and customer empathy are non-negotiable.
Key Responsibilities
- Product Strategy & Portfolio Ownership Define and own the product vision, strategy, and roadmap for a suite of GenAI products.
- Prioritize investments and manage trade-offs across multiple product lines.
- Identify high-impact customer problems and articulate the business case for solutions.
- Execution & Delivery Translate strategy into clear product requirements, PRDs, and user stories.
- Work closely with engineering, GENAI, data science, and design teams to deliver high-quality releases.
- Drive sprint planning, backlog prioritization, and cross-functional alignment.
- Ensure GenAI models meet accuracy, safety, performance, and compliance standards.
- AI Capability Integration (preferred) Partner with AI/ML teams to evaluate model architectures, fine-tuning strategies, and data needs.
- Track industry innovations in GenAI, LLMs, RAG, knowledge graphs, multimodal models, and apply them to product evolution. Build frameworks for evaluating model performance, drift, hallucination mitigation, and user trust.
- Customer & Market Engagement Lead customer discovery, user research, and feedback loops with life sciences clients (Medical Affairs, R&D, Safety, etc.).
- Understand regulatory and compliance nuances (e.g., GxP, PV, data privacy) and translate them into product requirements.
- Benchmark against competitors and emerging AI products in the enterprise healthcare space.
- Commercial & Cross-Functional Leadership Partner with GTM, sales, implementation, and customer success teams to drive adoption and revenue growth.
- Support deal cycles with product presentations, demos, and solutioning. Develop pricing, packaging, and commercial models for AI products.
- Mentor product owners as needed.
Qualifications & Experience
- Bachelor's or master's degree in computer science, Engineering, Data Science, or related technical field.
- 1015 years of product management experience.
- Strong understanding of product strategy, roadmap planning, and execution in complex enterprise environments.
Preferred Qualifications
- Experience working with large language models, foundation models, or GenAI-based applications.
- Prior exposure to the life sciences domain (Medical Affairs, Commercial, Clinical, Regulatory, PV, etc.).
- Familiarity with healthcare compliance frameworks (GxP, HIPAA, GDPR). Experience in scaling AI products in enterprise environments.
