Staff Product Manager, Multi-omics

As a Staff Product Manager for Multi-omics, you'll play a critical role in the evolution of our multi-omics platform. Your responsibilities include:

• Build and execute the product strategy that will usher our multi-omics capabilities into the next era of autonomous science
• Bridge science and technology by acting as the translator between high-throughput operations, drug discovery program leaders, software engineering, and AI/ML scientists and engineers
• Shepherd coordinated delivery of solutions across interdisciplinary teams
• Evangelize high-dimensional multi-modal data capabilities internally to Recursion and to external partners

This role creates positive change by enabling autonomous science where AI agents actively request experiments to expand biological maps and prosecute drug discovery programs, ultimately advancing the future of medicine to radically improve lives.

The required skills, experience, and qualifications for this role are:

• Fluency in genomics or other high-dimensional biological data types (bonus for lab experience)
• 5+ years product management experience with a proven track record of delivering complex solutions across multidisciplinary teams in genomics, diagnostics, pharma, or healthcare space
• Strong written and oral communication skills with the ability to distill complex concepts and use data to tell a story
• Ability and passion to connect day-to-day lab operations to higher level product and company strategy

Compensation and benefits include:

• Estimated annual base salary range: $141,400 - $191,100
• Eligibility for annual bonus and equity compensation
• Comprehensive benefits package
• Hybrid work arrangement with office-based expectations
• Values-driven culture emphasizing bold action, deep care, active learning, urgency, ownership, and 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.