AI Product Manager

AI Product Manager

Watertown, Massachusetts, United States

The Role

AI Product Manager 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

Basic 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

Preferred qualifications

• 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

The Company

At Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together at the intersection of AI and genetic medicine.

Our culture is defined by three core values that guide everything we do:

• One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.
• Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.
• Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.

These values are more than words—they drive our actions and decisions. Our greatest strength isn't technology—it's our work ethic. More than just technologists, we're a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.

What You'll Give

• Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.
• Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.
• Operate with urgency, responsibility, and resilience, because this mission demands the best from us.

What You'll Get

• Competitive compensation & equity—your contributions drive results, and we pay accordingly.
• Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.
• A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.

Base Salary Range: $154,084.36 - $263,131.83

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate's experience, interview performance, and expected impact.

This role is eligible for:

• 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

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Equal Employment Opportunity (EEO) Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process, nor will we ask for personal information such as financial details over email. Official communication will only come from an @dynotx.com email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain, please report it as spam and report the communication to us at View email address on click.appcast.io.