Principal Product Manager, Technical, Life Sciences New Initiative, AWS Life Sciences Applied AI

Job ID: | Amazon Development Center U.S., Inc.

Are you passionate about leveraging AI to revolutionize life sciences? AWS Life Sciences Applied AI is seeking a visionary Principal Product Manager to lead the development of applications that reimagine the experiences of life sciences researchers. As part of the AWS Applied AI organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
As Principal Product Manager, you'll lead pioneering product development for AI-driven protein design and antibody engineering. You’ll guide a team of product managers to invent and simplify on behalf of life sciences researchers and define novel, generative AI agent based experiences to help those researchers accelerate drug discovery. You will also drive innovation by integrating computational design pipelines with laboratory workflows, and creating efficient systems for rational therapeutic design. This is a highly visible and impactful role within AWS, offering the opportunity to shape the future of life sciences technology and drive innovation at a global scale. You will be responsible for defining key product directions, adopting or inventing new machine learning techniques, reimagining user workflows and experiences, and fundamentally changing the state of practice. You will be fearless, with a passion for building scalable end user products.
Key job responsibilities
As Principal Product Manager, you'll lead pioneering product development for AI-driven protein design and antibody engineering. You’ll guide a team of product managers to invent and simplify on behalf of life sciences researchers and define novel, generative AI agent based experiences to help those researchers accelerate drug discovery. You will also drive innovation by integrating computational design pipelines with laboratory workflows, and creating efficient systems for rational therapeutic design. This is a highly visible and impactful role within AWS, offering the opportunity to shape the future of life sciences technology and drive innovation at a global scale. You will be responsible for defining key product directions, adopting or inventing new machine learning techniques, reimagining user workflows and experiences, and fundamentally changing the state of practice. You will be fearless, with a passion for building scalable end user products.
A day in the life
Inclusive Team Culture
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Work/Life Balance
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Mentorship & Career Growth
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About the team
As part of the AWS Applied AI organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

BASIC QUALIFICATIONS

- 7+ years of working as a Technical Product Manager experience
- 5+ years of technical (software development, network development, IT, other related) experience
- Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)

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 that leverage ML/AI technologies
- Strong technical background with ability to evaluate emerging technologies and contribute to technical discussions around computational biology
- Experience leading cross-functional teams and collaborating with research scientists, engineers, and business stakeholders
- Proven ability to translate complex scientific concepts into clear product requirements and user experiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $163,000/year in our lowest geographic market up to $281,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.