Product Manager, Multi-omics

Your work will change lives. Including your own.
Please note:
Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You’ll Make

As a Staff Product Manager for Multi-omics, you’ll play a critical role in the evolution of our multi-omics platform. One of Recursion’s key differentiators in the Tech Bio space is our ability to decode biology through massive, relatable datasets. We have amassed over 65 petabytes of proprietary data – spanning phenomics, transcriptomics, and ADME – generated by our automated labs at a scale of up to 2.2 million experiments per week.

Unlike traditional drug discovery that relies on limited hypotheses based on known biology, this high‑throughput, multi‑modal engine allows us to train machine learning models that construct an atlas of biology, revealing novel relationships and inferring mechanisms of action that human bias might miss.

You will be responsible for the evolution of this engine alongside a strong team of cross‑functional collaborators. You will partner with leaders to build concrete plans to shift our focus from ultra high-throughput data generation to autonomous science – enabling a system where AI agents not only consume our maps but actively request the specific experiments needed to expand them and prosecute drug discovery programs.

• Build and execute the product strategy that will usher our multi‑omics capabilities into the next era of autonomous science. This could include:
  • Defining the digital interfaces necessary for AI agents to request multi‑modal experiments and reason across the resulting data
  • Defining and prioritizing operational changes to enable our labs to more efficiently and seamlessly execute increasingly complex experiments
  • Shifting the definition of success from the scale of data generation to a measure of decisional data generated, partnering with AI/ML and drug discovery teams to build tight feedback loops between our physical labs and the next wave of cutting‑edge models.
• Bridge science and technology
  :
  Act as the translator between high‑throughput operations, drug discovery program leaders, software engineering, and AI/ML scientists and engineers to ensure our multi‑omics roadmap directly enables the discovery of novel biology and de‑risks clinical programs while realizing our autonomous science vision
• Shepherd coordinated delivery of solutions across interdisciplinary teams
• Evangelize high‑dimensional multi‑modal data capabilities internally to Recursion and to external partners

You will join the Multi‑omic Insights component, a cross‑disciplinary team responsible for Recursion's core data layers:
Phenomics, Transcriptomics, and ADME. This team sits at the intersection of the physical and digital worlds, combining lab operations (including tissue culture, compound management, phenomics, transcriptomics, and ADME), automation engineering, software engineering, and data science to generate high quality, relatable data that feeds into our machine learning models to identify and prosecute novel drug discovery targets.

• Fluency in genomics or other high‑dimensional biological data types. Bonus if you’ve spent time in a lab and understand what it takes to execute successful experiments.
• 5+ years product management experience with a proven track record of delivering complex solutions across multidisciplinary teams in the 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
• An ability and passion to connect day‑to‑day lab operations to higher level product and company strategy

This is an office‑based, hybrid position at our US headquarters located in Salt Lake City, Utah
. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $…