Senior Product Manager, Technical - Life Sciences, Amazon Bio Discovery

About the role

As part of the AWS Applied AI Solutions organization, we are building business applications that leverage Amazon’s unique experience and expertise to help millions of companies worldwide manage day-to-day operations. We blend vision with curiosity and real-world experience to create opinionated, turnkey solutions that solve enduring business challenges—becoming a trusted partner for customers who prefer to buy over build.

AWS Life Sciences Applied AI is seeking a Senior Product Manager, Technical to lead the development of AI-driven applications that reimagine the experiences of life sciences researchers. In this role, you will pioneer product development for generative AI agent-based experiences in protein design and antibody engineering, integrate computational design pipelines with laboratory workflows, and drive innovation at a global scale.

Responsibilities

• Define novel, generative AI agent-based experiences to accelerate drug discovery for life sciences researchers.
• Drive innovation by integrating computational design pipelines with laboratory workflows.
• Create efficient systems for rational therapeutic design.
• Define key product directions, adopt or invent new machine learning techniques, and reimagine user workflows.
• Lead cross-functional teams to deliver scalable end-user products.

Requirements

• 6+ years of experience working as a Technical Product Manager.
• 5+ years of technical experience in software development, network development, IT, or related fields.
• Experience delivering large-scale SaaS, PaaS, or IaaS products, responsible for the full product lifecycle from concept through go-to-market (GTM).

Preferred Qualifications

• Advanced degree (MS or PhD) in Computational Biology, Bioinformatics, Structural Biology, or related field, or equivalent industry experience.
• Demonstrated understanding of protein structure prediction and design tools (e.g., AlphaFold, RFDiffusion, ProteinMPNN).
• Experience with drug discovery workflows and therapeutic development processes, particularly in antibody development.
• Track record of successful product launches leveraging ML/AI technologies.
• Strong technical background with the ability to evaluate emerging technologies and contribute to discussions around computational biology.
• Proven ability to translate complex scientific concepts into clear product requirements and user experiences.

About the team

At AWS, we value diverse experiences and believe that unique career paths enrich our team. We encourage candidates to apply even if they don’t meet all preferred qualifications. Our culture fosters continuous learning, curiosity, and inclusion through employee-led affinity groups, events like Conversations on Race and Ethnicity, and AmazeCon conferences.

We are committed to mentorship and career growth, offering resources to help you develop into a well-rounded professional. Our goal is to raise the performance bar while supporting work-life harmony, flexible work arrangements, and a supportive environment.

Pay

Base salary range: $167,400 – $226,500 USD annually (Seattle, WA). Your total compensation package will include sign-on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, basic life & AD&D, with options for supplemental life plans).
• Employee Assistance Program (EAP) and mental health support.
• Medical Advice Line and Flexible Spending Accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Learn more about our benefits at amazon.jobs/en/benefits.