We are seeking a
Senior Product Manager
to lead a portfolio of 4–5 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.
10–15 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.