At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of individual trial participants, enabling smaller and more efficient clinical trials to bring effective medicines to patients sooner.
Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.
Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics.
We 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 recently completed our $50 million Series C in January 2024.
If our purpose and culture resonate with you, we invite you to apply.
About the roleWe are looking for an effective product manager who wants to help build new products on a computationally-focused, data-driven, AI-powered platform to solve top pain points in the pharmaceutical industry. The Product Manager will have a track record of impactful product development, a broad knowledge base of data products and cutting edge AI technologies, and a proven track record of collaboration with different types of teams including design, engineering, marketing, and business development. They will also be capable of developing 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.
ResponsibilitiesTranslate product strategy into detailed requirements, user stories, and acceptance criteria
Contribute to quarterly roadmap planning by shaping scope, estimating effort, and aligning cross functional partners
Track development and delivery progress against timelines, flag risks early, and keep stakeholders aligned
Run product discovery for well defined problems to validate scope and user needs
Run lightweight experiments, prototypes, and user tests to de-risk early concepts
Coordinate with design to ensure clear specs and efficient handoff
Partner with QA to define test plans and ensure smooth releases
Monitor feature usage and quality metrics to drive incremental improvements
Communicate status updates to leadership and cross functional teams
Support launch activities and operations with documentation and internal enablement
At least 3 years of product management delivering software and AI-powered products
Bachelor’s degree or equivalent practical experience with working knowledge of clinical drug development
Proven track record shipping impactful features quickly and with quality
Strong problem solving skills and the ability to make sound, data informed judgments under constraints to shape product direction
Effective cross functional collaborator across engineering, design, science and business development who can make decisions when needed and drive alignment
Solid technical literacy and ability to engage with engineering on architecture and implementation details
Ownership mindset and willingness to handle complex or ambiguous work
Passion for our mission
Experience in biopharma industry or in clinical development
Experience in fast moving or early stage environments
Experience building and pricing platform applications and tools
The following benefits and perks are for full time roles only.
Generous equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1
Commuter benefits
Paid Parental Leave
Support for H1B, TN, and E-3 Visa change of employer transfers
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
Top Skills
Unlearn.AI Cambridge, Massachusetts, USA Office
We are located in Harvard Square inside the Industrious offices.
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


