AI Product Manager

Dyno Therapeutics•Watertown, MA

4h•$154,084 - $263,132•Hybrid

About The Position

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. At Dyno, every role is mission-driven. Whether in science, engineering, operations, or business, each AAViator contributes to solving some of the most complex challenges in genetic medicine. As an AI Product Manager, you will help define and build Dyno’s external AI products. You’ll work closely with scientists, engineers, and wet lab teams to turn complex biological problems into systems that can be deployed and iterated on.

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 Haves

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

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