Senior / Staff Product Manager

• Develop and champion a compelling product vision and strategic roadmap for our molecular design platform, aligning scientific needs with Recursion's mission to industrialize drug discovery.
• Act as the vital bridge between our scientists and technical teams, translating complex scientific requirements into clear, actionable product plans.
• Lead a cross-functional team of cheminformaticians, AI/ML scientists, and engineers to deliver high-impact tools for molecular design.
• Help standardize workflows, eliminate bottlenecks, and build foundational infrastructure for a scalable discovery engine.

Your work will directly accelerate Recursion's drug discovery portfolio, drive partnerships, and contribute to the mission of decoding biology to radically improve lives by creating tools that empower scientists to design novel, high-quality drug candidates with unparalleled speed and precision.

• 3+ years (Senior) or 5+ years (Staff) of product management experience with a proven track record of launching complex, technical products.
• Deep experience with products that have significant AI/ML or data science components, comfortable with building and deploying machine learning systems.
• Demonstrated ability to apply customer-centric product principles, passionate about user research and feedback-driven development.
• Exceptional systems-thinking skills to deconstruct complex scientific workflows and design scalable solutions.

Estimated annual base range of £72,800 to £116,100 (GBP), plus eligibility for annual bonus and equity compensation, and a comprehensive benefits package. The company values include acting boldly with integrity, caring deeply, learning actively, moving with urgency, taking ownership, and being One Recursion through cross-functional collaboration.

Recursion is a clinical stage TechBio company leading the space by decoding biology to radically improve lives through its Recursion OS platform, which generates one of the world's largest proprietary biological and chemical datasets and uses machine learning to advance the future of medicine.