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Dandelion Health seeks a Staff Product Manager – Life Sciences to own the product strategy for its data products. You will translate market insights into a clear vision, roadmap, and shipped outcomes, working with commercial, engineering, and data science to build scalable data products.
You will lead discovery, prioritize opportunities, and shape technical approaches, delivering end-to-end ownership in a small, fast-moving startup.
Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world’s largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here.
We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources – with two additional U.S. health systems joining soon.
We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to:
You are an ambitious and experienced Product Manager.
As the Staff Product Manager – Life Sciences, you will be responsible for defining and executing the product strategy for Dandelion’s life science data products. This role is hands-on and strategy-driven, focused on translating market and customer insights into a clear product vision, roadmap, and shipped outcomes.
You will lead product discovery and strategy efforts across Dandelion’s life science offerings - identifying high-leverage problems to solve, evaluating opportunities, and making prioritization decisions that balance customer needs, platform scalability, and long‑term business impact.
You will work closely with commercial, engineering, and data science partners to define product requirements, shape technical approaches, and drive execution from concept through launch. Your focus will be on building scalable, repeatable data products rather than bespoke customer solutions.
This role is ideal for someone who enjoys owning product strategy end‑to‑end, thrives in ambiguity, and wants to operate at the intersection of life sciences, data infrastructure, and applied AI – with deep ownership over what gets built and why.
Finally, you are not afraid to get your hands dirty – this is a small, early‑stage company with enormous ambitions and everyone pitches in to do everything.
You will report directly to the Chief Technology Officer.
Compensation Range: $160K - $180K