Technical Product Manager - San Francisco, Ca
1 day ago

Job description
About
Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse's mission to build an AI Scientist - scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.
Role
We are seeking a Technical Product Manager (TPM) who can bridge the gap between our clients and internal teams and drive world-class product development. This person will serve as a translator and strategist - deeply understanding client needs, aligning them to our vision, and guiding our technical teams to deliver impactful products. A strong technical background in biology (e.g., molecular biology, bioinformatics, or related domains) and artificial intelligence is essential to effectively calibrate between external partners and internal engineering/research stakeholders.
Responsibilities
- Partner closely with clients to understand their scientific and business needs, then translate those into clear, actionable, and critical product requirements.
- Work hand-in-hand with researchers, engineers, and designers to define and prioritize product roadmaps.
- Develop a strong technical perspective on complex biomolecular workflows and data, ensuring product decisions are scientifically grounded.
- Calibrate between external expectations and internal capabilities, balancing ambition with feasibility.
- Define success metrics, evaluate product performance, and adjust direction based on scientific and client feedback.
- Act as the internal advocate for client needs while also educating clients on the possibilities and constraints of our platform.
- Drive alignment across multi-disciplinary teams to deliver high-quality products on time.
Qualifications
- 4+ years of experience in product management, technical consulting, or a related role in biotech, life sciences, or computational biology.
- Strong foundation in biology, with expertise in areas such as molecular biology, synthetic biology, cellular biology, or computational biology.
- Knowledge of AI/ML applications in the life sciences.
- Proven ability to work with both external stakeholders (clients, partners, collaborators) and internal technical teams.
- Strong communication skills, with the ability to explain technical concepts clearly to both scientific and non-scientific audiences.
- Experience defining product roadmaps and translating complex scientific requirements into structured development plans.
- Comfort navigating ambiguity and balancing multiple competing priorities in a fast-moving environment.
- Excellent people and mediation skills.
- Bachelor's degree in biology, bioengineering, computational biology, or related technical field (advanced degree a plus).
- Based in the San Francisco Bay Area or willing to relocate.
Bonus points for:
- Experience in startups or high-growth environments.
- Familiarity with regulatory considerations in biotech product development.
Location: San Francisco, CA (In-Person)
Base Salary Range: $175k+ (depending on experience) with equity
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