--- title: 'Product Manager at Unlearn' canonical: 'https://feeny.ai/job/product-manager-unlearn-san-francisco-z9qxp921n65k' type: 'job' last_seen: '2026-10-14' --- # Product Manager at Unlearn - **Company:** Unlearn - **Location:** San Francisco, CA - **Compensation:** $156k–$235k - **Employment:** full-time - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.ashbyhq.com/unlearn/77277b21-ca29-4eb2-b54a-645db92177cc ## Job description ## 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 Team 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 completed our $50 million Series C in January 2024. If our purpose and culture resonate with you, we invite you to apply. ## About the role Our models are only as good as the data they are built on. This role owns the data products that make those models possible: the pipelines, datasets, and tooling that turn raw clinical trial data into something our scientists can train and deploy models with. You will work day to day with the engineers who build that infrastructure and with the teams who build and deliver models for our customers. Your job is to understand how those teams actually work, decide what gets built next, and make sure it ships and gets used. This is a hands-on product role on a foundational data platform, which means the problems worth solving usually surface in conversation rather than in a backlog. You will spend real time alongside the people doing the work, and in the data, figuring out together what matters most. It suits someone technical enough to be a genuine participant in an engineering design discussion, comfortable enough with data to explore questions themselves, and able to make a clear call about what not to build when the team needs one. You will own this area end to end, working closely with the Head of Product, who sets overall direction with you, and with the engineering and scientific leads whose teams depend on your work. ## Your first 90 days We would rather tell you what success looks like than list everything you might touch. By the end of your first quarter, we expect you to have: - Built a clear, evidence-based picture of how our data supports model development. Mapped how data moves from raw clinical trial data to the inputs our models require, found where the friction is, and turned that into a prioritized recommendation for what we fix first. - Shipped improvements that measurably speed up model delivery. Owned the roadmap for the data products our internal model-building teams depend on, grounded in how they actually work rather than how the specs say they should, and gotten at least one meaningful improvement into production. Success is measured in how much faster models get built, not in features shipped. - Established a prioritization rhythm your partner teams trust. Set up a working way for requests to reach you, get sequenced, and get communicated back, so the engineers building the platform and the teams using it know what is coming and when. ## What you'll do - Develop a first-hand understanding of how our scientific and engineering teams build models, working with the data directly to see where time is being lost. - Translate what you learn into prioritized work: clear problem statements and requirements engineers can build from, with the tradeoffs made explicit when scope has to give. - Partner with engineering leads on technical design decisions, bringing a product and user perspective to architecture choices without trying to make them for the team. - Define how success is measured for your area, instrument it, and report on it honestly, including when the numbers are not flattering. ## What we're looking for - At least 3 years as a product manager on technical products, with meaningful time spent on data platforms, developer tools, or internal infrastructure, and a track record of owning an area end to end and shipping things people actually adopted. - Real technical depth: you can read a schema, write your own queries, reason about how a pipeline is put together, and hold a credible conversation about a design tradeoff with the engineers building it. Messy, high-volume, highly structured data does not put you off, and you explore it yourself before forming a view. - Clear written thinking. You can lay out a problem, the options, and your recommendation in a short document that a technical audience will take seriously. - The judgment to work independently inside a scope we define together, and to recognize when a decision is better made with others than alone. - AI-native in how you work, with these tools built into your daily workflow. ## Nice to have - Experience with clinical trial data or clinical data standards. - Experience in the biopharma industry or in clinical development. - Background supporting machine learning teams, particularly on the data side of model development. - Experience turning internal tooling into something that could be sold. - Experience with Databricks. If your experience doesn't line up with every point above but you think you can do this job, tell us why. ## Benefits & Perks The following benefits and perks are for full time roles only. - Meaningful 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 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. ## About Unlearn ## Company Overview - **One-liner**: Unlearn uses AI and digital twins of clinical trial participants to enable faster, smaller, and more robust studies for biopharma companies. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2017 - **Founders**: Aaron Smith, Charles Fisher, Graham Siegel, Jonathan Walsh ## Core Business - Primary industry/industries: Clinical research technology, AI-driven drug development, biotech - Target customers: Biopharmaceutical companies, contract research organizations (CROs), clinical trial sponsors - Mission or purpose statement: "To transform clinical development by making every trial smarter" – harnessing data, AI, and digital twins to bring life-saving treatments to patients faster. ## Products & Services - **TwinRCT**: A randomized controlled trial enhanced with AI-generated digital twins to increase statistical power, reduce control arm size, and shorten enrollment time. - **PROCOVA**: A methodology that uses prognostic scores from digital twins to improve the precision of treatment effect estimates. - **Digital Twin Generators**: AI models trained on historical patient-level data to predict individual health outcomes over time. - **TrialPioneer** (launched Jan 2026): An AI-powered workspace for upstream trial planning, enabling teams to compare trial-design scenarios, evaluate endpoints, and simulate outcomes before protocol finalization. - **SimLab**: A tool within TrialPioneer to build and compare trial-design scenarios with linked evidence. - **Scout**: Continuous literature and regulatory surveillance from PubMed, ClinicalTrials.gov, and drugs@FDA to align on precedent. - **Hindsight**: Exploration of harmonized clinical trial and real-world datasets to validate assumptions about population characteristics, endpoints, and benchmarks. - **Regulatory Services**: Support for navigating FDA and EMA guidelines to qualify twin-based approaches (EMA qualified, aligned with FDA guidance). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding of $134.8M; latest Series C of $50M (February 2024). Annual revenue estimated at $5.4M (LinkedIn company data, 2025). - **Notable Investors/Partners**: - **Investors**: 8VC, DCVC Bio, Insight Partners (board representation from Francisco Gimenez, Kiersten Stead, Dylan Morris) - **Partners**: VectorY Therapeutics (ALS trial), remynd (Alzheimer’s study), Trace Neuroscience (ALS), ProJenX (ALS) - **Growth Signals**: - Published peer-reviewed article on applying AI-powered digital twins in healthcare. - Active partnerships with multiple biopharma companies in neuroscience, immunology, and metabolic disease. - Headcount of ~61 employees (LinkedIn, 2025) with positive follower growth (+20.1% YoY on LinkedIn). - Product expansion with TrialPioneer launch in early 2026. ## Competitive Advantages - **Proven Regulatory Credibility**: Digital twin methodology qualified by the EMA and aligned with current FDA guidance – a rare and defensible moat. - **Proprietary AI Models**: Trained on large-scale historical patient data to generate accurate prognostic digital twins, reducing trial variability. - **End-to-End Platform**: Single workspace covering trial planning (SimLab, Scout), monitoring (anomaly detection), and analysis (Hindsight, PROCOVA) – reducing fragmentation. - **Demonstrated Reductions**: Claims of ~33% reduction in control arm size and ~4+ months of enrollment time saved (approximate values from the website). ## Strategic Focus - **Immediate Priorities**: Expand commercial adoption of TwinRCT and TrialPioneer; deepen partnerships in neurology (ALS, Alzheimer’s) and immunology/metabolic disease. - **Technology Roadmap**: Continue integrating AI and digital twins into more trial decisions, with emphasis on upstream trial design and real-time monitoring. - **Growth Direction**: Scaling the platform to become the “scientific intelligence layer for clinical development” – connecting evidence, modeling, and reasoning across the trial lifecycle. ## Why Work Here - **Mission-Driven**: Employees work at the frontier of AI in medicine, directly impacting how life-saving treatments reach patients faster. - **Culture**: Described as “moonshot thinking” – setting radically ambitious goals to solve problems that affect millions of lives. Team of innovators in pharma, medtech, machine learning, and business. - **Benefits**: - 100% employer-paid medical, dental, and vision insurance for employee and family. - Company-paid life insurance, AD&D insurance, short/long-term disability. - 401k plan with 100% matching up to 4% of salary. - Paid parental leave. - Professional development budget for conferences, workshops, and classes. - Commuter benefits (ride or drive). - **Work Environment**: San Francisco-based office; commuter benefits suggest in-office presence. Contract-to-hire opportunities available for some roles. - **Open Roles**: Currently hiring a Product Designer (contract), Platform Engineer, and Product Manager – offering competitive salary, equity, and the chance to build on a data-intensive AI platform. ## Sources 1. [unlearn.ai](https://www.unlearn.ai/) – Product descriptions, case studies, press releases 2. [unlearn.ai/about](https://www.unlearn.ai/about) – Leadership, mission, board of directors 3. [unlearn.ai/careers](https://www.unlearn.ai/careers) – Open positions, benefits, culture 4. [crunchbase.com/organization/unlearn-ai](https://www.crunchbase.com/organization/unlearn-ai) – Funding history, company overview 5. [linkedin.com/company/unlearn-ai](https://www.linkedin.com/company/unlearn-ai) – Headcount, revenue estimate, employee growth ## Other roles at Unlearn - [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-unlearn-remote-0x58fsfxwj2f) - [VP of Clinical Solutions](https://feeny.ai/job/vp-of-clinical-solutions-unlearn-san-francisco-287shyxjc4ap) — San Francisco, CA - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-unlearn-san-francisco-e6tsnbvbsxh8) — San Francisco, CA - [AI Engineer](https://feeny.ai/job/ai-engineer-unlearn-san-francisco-j00jet7va89f) — San Francisco, CA - [Applied Machine Learning Scientist](https://feeny.ai/job/applied-machine-learning-scientist-unlearn-san-francisco-r0t759h7sy2m) — San Francisco, CA - [Senior Clinical Data Scientist](https://feeny.ai/job/senior-clinical-data-scientist-unlearn-san-francisco-y05jqxwqm5kh) — San Francisco, CA - [Clinical Data Scientist](https://feeny.ai/job/clinical-data-scientist-unlearn-san-francisco-yxs7nshek1c1) — San Francisco, CA - [Product Manager](https://feeny.ai/job/product-manager-cardata-canada-4wtewazsk5z9) — Canada - [Product Manager](https://feeny.ai/job/product-manager-wynd-labs-remote-sh4hbcybpt65) - [Product Manager](https://feeny.ai/job/product-manager-siteminder-pune-gemcvbqmt5a6) — Pune, India