Product Manager
Hybrid (San Francisco, CA)Full-timePosted 5mo ago
About the role
Product Manager at Radical Numerics responsible for turning frontier AI research into usable products for scientists, biotech teams, governments, and biosecurity organizations. Operates at the intersection of AI research, biology, product design, and commercialization to define and launch product opportunities across biological design, statistical genetics, pathogen detection, multimodal biological analysis, and related applications.
Responsibilities
- Own product development for early Radical Numerics applications, from problem discovery through launch
- Translate frontier AI capabilities into clear product concepts, workflows, and user experiences
- Work closely with researchers and engineers to define product requirements, prioritize features, and drive execution
- Conduct user research with scientists, biotech teams, biosecurity stakeholders, and strategic partners
- Identify high-value use cases across health, biological design, statistical genetics, and biosecurity
- Develop product specs, wireframes, demos, launch plans, and internal decision documents
- Partner with leadership on product strategy, roadmap, positioning, and go-to-market priorities
- Help turn ambiguous partner conversations into concrete product opportunities and requirements
- Build feedback loops between users, commercial stakeholders, researchers, and engineers
- Drive product quality, usability, and clarity in highly technical domains
- Help shape the product culture of a frontier AI research lab
Qualifications
- 2–6 years of experience in product management, technical product, startup operations, or a highly analytical role
- Strong product instincts: you can identify real user pain, simplify complexity, and turn vague ideas into concrete workflows
- Technical fluency, especially in AI, software, data products, developer tools, computational biology, or scientific platforms
- Excellent written communication; you can produce clear specs, product narratives, and decision documents
- High ownership and bias toward action; you can operate without needing a fully defined roadmap
- Comfort working in ambiguity, especially around emerging technology and novel markets
- Ability to collaborate deeply with researchers, engineers, designers, commercial teams, and external partners
- Strong judgment around product tradeoffs, user needs, and execution priorities
- Low ego, high curiosity, and willingness to learn new scientific and technical domains quickly
- Excitement about building at the frontier of AI, biology, and human health
Skills
Required:Product managementTechnical fluency in AI/softwareUser researchCommunication/writingCross-functional collaboration
Last updated May 28, 2026. Interested? Apply on the company site.
About Radical Numerics
Next-gen AI lab for recursive self-improvement
Radical Numerics - Next-gen AI lab for recursive self-improvement
AIAI labrecursive self-improvement
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