Darum lohnt es sich
Responsibilities
• Own the product vision and strategy: Define the use cases worth owning, and how to get them adopted and scaled.
• Be the voice of the customer: Build and run the feedback loops that tell us what's working and what isn't.
• Turn messy signals from scientists, pathologists, and biopharma teams into clear product direction and prioritization.
• Define the use cases: Go deep on specific biopharma workflows (e.g., biomarker discovery, clinical decision‑making) and build a strategy to deliver for them.
• Drive cross‑functional alignment: Work closely with science, engineering, and commercial to turn vision into a roadmap people believe in, and to keep that roadmap honest as we learn.
Requirements
• Domain fluency: You’ve worked inside or directly alongside biopharma R&D, including translational research, biomarker discovery, pathology, clinical development, and drug discovery, and you can speak the language of the scientists and teams you’ll build for.
• Seasoned PM on AI‑powered, expert‑facing B2B products: You’ve owned complex, information‑dense products end to end and brought clarity to ambiguous, technical problem spaces.
• AI‑native in how you work: You use AI tools as a core part of how you prototype, research, and scale your output, and you have a clear point of view on where AI changes how products should be built.
• A track record of strategic ownership: You’ve set product direction and vision, and can point to products you decided were worth building, shipped, and validated with real users.
Hard Skills
• product vision
• product strategy
• biopharma workflows
• biomarker discovery
• clinical decision‑making
• cross‑functional alignment
• AI‑powered products
• strategic ownership
• product direction
• user validation
Soft Skills
• customer feedback
• communication
• collaboration
• problem‑solving
• leadership
