AI Product Manager
Watertown, NY - USA
Job Summary
The Role
AI Product Manager This role will drive development of Dynos AI products for biological design. Youll work across modeling software and experimental validation to build systems that scientists use and trust. Were 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 Dynos external AI products. Youll 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 Dynos external-facing AI platforms (e.g. )
- 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 Dynos 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 dont 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 expertsall 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 wordsthey drive our actions and decisions. Our greatest strength isnt technologyits our work ethic. More than just technologists were a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.
What Youll 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 Youll Get:
- Competitive compensation & equityyour contributions drive results and we pay accordingly.
- Mission-aligned high-trust environmentwe succeed together supporting each other through challenges.
- A career-defining experiencework at the forefront of AI-driven genetic medicine tackling problems that reshape healthcare.
If youre ready to push boundaries build the future and thrive in a fast-moving high-impact environmentwed love to hear from you.
At Dyno we believe in transparent and equitable compensation practices.
Base Salary Range: $154084.36 - $263131.83
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 candidates 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 @ 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
Required Experience:
IC