Product Manager
Listed on 2026-06-25
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IT/Tech
Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Our Mission and Vision
Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.
We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.
We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.
About Our TeamWe come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
- Unlearners are ambitious
; we aren’t intimidated by big, challenging goals. - Unlearners are disciplined experimenters
; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. - Unlearners are gritty
; we never give up, setbacks just make us try harder. - Unlearners are receptive to new ideas
; in fact, we hate being stuck with the status quo - Unlearners are storytellers
; sharing information with each other and with the world is super important, too important to be boring. And, last but not least, - Unlearners are team-oriented
; we put the mission first, the company second, the team third, and individuals last.
Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
We are looking for an experienced product leader who wants to help build a new, computationally-focused and AI approach to solving important problems in healthcare. The Principal Product Manager will have a broad knowledge base and the ability to converse and collaborate with different types of teams including technology, marketing, and business development, as well as the ability to develop a deep understanding of the problems our customers and users at biopharma companies encounter while running clinical trials.
The ideal candidate must also have demonstrated experience with the techniques and methods of modern product discovery and product delivery.
- At least 8 years experience as a product manager in a technology company working on technology-powered products as a product manager
- Bachelor’s degree or equivalent practical experience with demonstrated knowledge of the clinical development space
- Demonstrated ability to ship high-impact products quickly, not just small features
- Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgment to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative.
- Demonstrated ability to learn and partner with multiple functional areas of business – engineering, design, finance, sales, and marketing.
- Strong collaboration in team environments but able to act quickly as the decision-maker
- Technical understanding must go from the highest abstractions down to the metal
- You find a way to get the data you need and whip it into an insightful story with no help
- Owner’s mindset – you don’t shy away from the hard stuff
- Passion for our mission
- Experience in biopharma, clinical development or Health Tech industries
- You’ll be responsible for framing and executing the product strategy, monitoring and communicating progress, and defining functional requirements for new product experiences and features
- Perform quantitative and qualitative research to identify product opportunities and prioritize features
- Partner with engineering, UXR, design, and analytics teams to…
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