Sr. Product Manager - Life Sciences

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 Head of Engineering.

Responsibilities

Define and own the product vision and roadmap for Dandelion’s life science data products, aligning customer needs, technical feasibility, and business strategy.

Lead product discovery and strategic research , including market analysis, problem validation, and targeted customer interviews to inform roadmap decisions.

Identify high-impact opportunities to build scalable data products and applications for life science and clinical development use cases.

Translate product strategy into clear product requirements, success metrics, and prioritization frameworks .

Design and implement AI-enabled automation and workflows that improve data access, analysis, and clinical development processes for life science customers

Partner closely with engineering and data science to shape technical approaches, make tradeoffs, and drive execution from concept through launch.

Evaluate product performance and usage to iterate on features, improve outcomes, and guide future investment.

Stay current on life sciences, clinical development, and clinical AI trends , using industry insight to inform product direction and differentiation.

Qualifications

Bachelor's degree

5+ years of proven experience building data products or platforms for life science or healthcare customers .

Strong product discovery and strategy skills , including leading customer interviews and translating insights into roadmap decisions.

Technical fluency , including comfort working with: Data infrastructure APIs and data pipelines AI / ML-enabled products (no need to code, but must speak the language)

Data infrastructure

APIs and data pipelines

AI / ML-enabled products (no need to code, but must speak the language)

Experience partnering closely with engineering and data teams to deliver complex products.

Strong communication skills, with the ability to engage both technical and non-technical stakeholders .

Comfortable operating in ambiguity and wearing multiple hats in an early-stage company