Senior Product Manager

The Impact You’ll Make

You will help manage the development of the world’s leading tech-enabled drug discovery platform. You will work with peers across the company to grow Recursion’s capabilities in large-scale biological data generation and use. In particular, you will:

• Guide vision and strategy for complex scientific and technical product opportunities
• Build machine learning-enabled products to massively scale and automate all early drug discovery at Recursion
• Develop novel tools, spanning insights across diverse domains in cellular biology, patient information, and medicinal chemistry
• Coordinate delivery across a cross-disciplinary team of data scientists, biologists, experiment operations experts, and engineers

Location: This position is based at our headquarters in Salt Lake City

The Team You’ll Join 

Reporting to the Director of Product of Industrialized Workflows, you’ll be joining a vibrant interdisciplinary team building the products that underpin all early drug discovery at Recursion. The team incorporates data across phenomics, transcriptomics, chemistry and patient insights and more into massive, automated product workflows. To do so, we use modern data science methods from computer vision to large language models, alongside advanced engineering orchestration and processing approaches. Our high performing team works closely together to continually improve and reimagine how early drug discovery is done, as part of creating the world’s first end-to-end industrialized drug discovery pipeline!

The Experience You’ll Need

• 3+ years of experience with machine learning products, deploying algorithms at scale in production, and understanding the tradeoffs between generating the right data and generating impact
• Experience working with medical or biological data, such as patient and in vitro assay data
• Experience in product management including strategy, planning, prioritizing, building, implementation, and gathering feedback
• Demonstrated success in delivering novel and complex solutions
• Understand how to translate between experts in engineering, biology and data science to identify business needs and find solutions
• Lifelong learner with a creative, collaborative and flexible approach

How You’ll be Supported

• Regular 1:1s with supervisor provides opportunities for support and feedback
• Learning and development through conferences, certifications, and courses
• Onboarding process with introductions to product area stakeholders