Source: CrawlJobs

AI Product Manager

Dyno Therapeutics Watertown, United States
Employment contract Full-time On-site work

Publication date: 31/08/2026

This role will drive development of Dyno’s AI products for biological design. You’ll work across modeling, software, and experimental validation to build systems that scientists use and trust. We’re looking for someone who wants to go beyond building models or tools in isolation, and instead work on systems that connect AI outputs to real experiments and, ultimately, therapies that help patients.

Responsibilities

Lead development of Dyno’s external-facing AI platforms (e.g., design.dynotx.com); Develop field-relevant benchmarks for agentic tasks in biological design; Build and improve AI-driven workflows that integrate models, data systems, and experimental feedback; Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools; Work directly with wet lab teams to ensure that computational outputs are tested and refined through experiments; Contribute to product direction by identifying opportunities where AI can meaningfully improve biological design; Move quickly from prototype to production, balancing speed with reliability

Requirements

PhD in Computational Biology, Bioinformatics, Data Science or a related field; Strong foundation in software development best practices, including version control, testing, deployment, and security; Proven ability to build, maintain, and scale backend systems or APIs in production environments; Experience contributing to production-grade data AI-driven applications; Alignment with Dyno’s core values - We seek individuals who step up when things get tough, recalibrate when priorities shift, and thrive in a high-expectation environment; A proactive, problem-solving mindset - you don’t just identify challenges; you find solutions

Nice to have

Experience with LLMs, agent-based systems, or modern AI workflows; Experience working in cross-functional environments involving experimental teams; Python expertise strongly preferred

Benefits

Competitive compensation & equity; Annual performance-based bonus; Stock options; Comprehensive medical, dental, and vision coverage; 401(k) plan; Flexible paid time off and holidays; Perks including on-campus gym membership, onsite lunch, commuter support, and company provided laptop; Mission-aligned, high-trust environment; Career-defining experience
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