Role Description 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. Job Type: Full Time Location: Watertown, MA or Remote How You Will Contribute 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. 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 Qualifications 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 Requirements Experience with LLMs, agent-based systems, or modern AI workflows Experience working in cross-functional environments involving experimental teams Python expertise strongly preferred Growth Opportunities Broad ownership of AI product strategy and technical direction A clear path to growing into a leadership role as the AI product team expands Benefits Competitive compensation
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