AI Product Manager

Dyno Therapeutics

United States

Hybrid

USD 154,000 - 263,000

Full time

14 days+
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Annual bonus
Stock options
Medical, dental, and vision coverage
401(k) plan
Flexible paid time off
On-campus gym membership
Onsite lunch
Commuter support
Company laptop

Job summary

Dyno Therapeutics is seeking an AI Product Manager to drive the development of its AI-enabled biological design platforms. You will bridge modeling, software, and wet-lab validation to deliver systems scientists can deploy and rely on.

You’ll collaborate with scientists, engineers, and operations to translate complex biological questions into production-ready APIs, data pipelines, and user-facing tools, balancing speed with reliability in a fast-moving team.

Qualifications

  • PhD in computational biology or related field is required.
  • Strong foundation in software development practices, including version control, testing, deployment, and security.
  • Experience building and scaling backend systems or APIs in production environments.
  • Experience contributing to production-grade data AI-driven applications.

Responsibilities

  • Lead development of external-facing AI platforms and tools.
  • Develop field-relevant benchmarks for AI tasks in biological design.
  • Build and improve AI-driven workflows integrating models, data systems, and experimental feedback.
  • Translate scientific questions into production-ready systems, including APIs and pipelines.
  • Collaborate with wet lab teams to ensure computational outputs are tested experimentally.
  • Contribute to product direction by identifying opportunities where AI improves design.
  • Move quickly from prototype to production while balancing speed and reliability.

Skills

Software development fundamentals
Backend APIs
Production-grade AI apps
Cross-functional collaboration
Problem-solving mindset

Education

PhD in Computational Biology, Bioinformatics, Data Science or related field

Tools

Python

Job description

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.

At Dyno, we believe in transparent and equitable compensation practices.

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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Sr. Machine Learning Engineer - Machine Learning New Remote; Watertown, Massachusetts, United States
Sr. Machine Learning Engineer - Machine Learning New Remote; Watertown, Massachusetts, United States

Dyno • Massachusetts

Remote
USD 179,000 - 214,000
Stock options
On-campus gym
Onsite lunch
+2
Sr. Research Associate - Gene Therapy
Sr. Research Associate - Gene Therapy

Dyno Therapeutics • Watertown (MA)

On-site
USD 96,000 - 116,000
Annual bonus
Stock options
Medical, dental, and vision coverage
+6
Remote AI Product Manager for Biotech & Genetic Medicine
Remote AI Product Manager for Biotech & Genetic Medicine

Dyno Therapeutics Inc. • Massachusetts

On-site
USD 154,000 - 264,000
Stock options
Medical, dental, and vision coverage
401(k) plan
+2
AI Product Manager — Biotech Design & Experiments
AI Product Manager — Biotech Design & Experiments

Dyno Therapeutics • United States

Hybrid
USD 154,000 - 263,000
Annual bonus
Stock options
Medical, dental, and vision coverage
+6
Forward Deployed Product Manager – AI
Forward Deployed Product Manager – AI

Iterative Health • New York (NY), Cambridge (MA)

Hybrid
USD 170,000 - 250,000
Unlimited PTO
401(k) match up to 3%
Weekly in-office lunch benefit
+1
AI Product Manager
AI Product Manager

Alpha Life Sciences • Iselin (PA)

On-site
USD 100,000 - 130,000
Competitive compensation and benefits package
Flexible work arrangements
Professional development opportunities
Applied AI Engineer
Applied AI Engineer

Socket.dev • Cambridge (MA)

On-site
USD 170,000 - 240,000
Hybrid work environment
Medical, dental, and vision coverage
Wellness stipend
+2
Forward Deployed Product Manager - AI
Forward Deployed Product Manager - AI

MD Ally • Cambridge (MA)

Hybrid
USD 170,000 - 250,000
Comprehensive medical, dental, and vision coverage
Unlimited PTO
401(k) matching
+1
Principal Product Engineer - Evinova
Principal Product Engineer - Evinova

AstraZeneca GmbH • Gaithersburg (MD)

On-site
USD 172,000 - 259,000
401(k) plan
Health benefits
Paid vacation and holidays
+1
AI Digital Product Sr Manager - AI Studio (REMOTE)
AI Digital Product Sr Manager - AI Studio (REMOTE)

BioSpace • Washington

Hybrid
USD 140,000 - 210,000
Health insurance
Flexible work model
Stock-based incentives
+2