Senior Product Manager

Summary

Join Owkin, an agentic AI company, as a Senior Product Manager – Applied AI to lead the definition and delivery of AI agents and tools. You will collaborate with multi-disciplinary teams, identify high-impact use cases, and iterate on solutions to ensure AI agents solve the right problems. This role requires a deep understanding of user needs and data, strong product strategy skills, and the ability to balance scientific nuance with product clarity. You will work closely with scientific users, drive rapid prototyping, translate user workflows into product direction, and own product strategy and roadmap prioritization. The position requires collaboration with cross-functional teams, including engineering, data science, and design. Owkin offers a flexible work organization and a friendly working environment.

Requirements

• Background in biomedical science, bioinformatics, computational biology, or a closely related domain
• 4+ years of experience in product management or a similar role in AI, biotech, or life science products
• Experience working with cross-functional teams that include machine learning, biomedical science, and engineering expertise
• Strong analytical skills comfort working with usage metrics and data, and qualitative feedback to guide product direction
• Proven ability to lead product discovery, define MVPs, and iterate fast in research-heavy contexts
• Excellent communication and stakeholder alignment skills; you bring clarity to complex ideas

Responsibilities

• Identify and validate high-impact opportunities by partnering closely with scientific users throughout the drug discovery lifecycle
• Drive rapid prototyping and iterative development to ensure we’re solving the right problems with measurable user and business value
• Translate user workflows and decision-making needs into clear product direction, grounded in a deep understanding of both scientific context and available AI capabilities
• Own product strategy and roadmap prioritization on your assigned scope—balancing feasibility, technical constraints, and long-term platform leverage
• Champion a discovery- and data-driven mindset across the team, shortening the loop from hypothesis to validation
• Collaborate with cross-functional teams, including engineering, data science, and design, and work closely with the science strategy group to align product decisions with scientific priorities and technical feasibility

Benefits

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds