Senior Product Manager, Applied AI Solutions, Life Sciences (Seattle)

Senior Product Manager, Applied AI Solutions, Life Sciences

As part of the AWS Applied AI Solutions 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.
The Life Sciences team is looking for a stellar Senior Product Manager - Technical to join the team and build world-class Generative AI products for our healthcare customers. Our team's mission is to build fit-for-purpose solutions for our healthcare customers. Our products make it easy for healthcare customers to use Machine Learning and Generative AI to achieve better outcomes. You will work with a diverse team that is brought together and motivated by work that improves people's lives, while being challenged on a daily basis.
A successful candidate will bring a passion for technology services, strong business acumen and judgment, proven experience of launching products and building business around them, ability to define ground breaking products, desire to have an industry wide impact and ability to work within a fast moving environment in a large company to rapidly deliver services that have a broad business impact. You will manage and be responsible for understanding customer needs and delivering some of our most strategic technical projects, and have a significant bottom-line impact on our business and competitive position.
Your responsibilities will include:
Lead Product Definition – Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction.
Define Product Vision – Including all aspects to future roadmap, investment, innovation and experimentation.
Execution of Product Planning and Development – Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning.
Lead Product Launch – Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans.
Lead Operations – Including monitoring and response to customer feedback, continuous improvement and business growth
Lead interaction with Technical Team – Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product.
Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership.
Key job responsibilities
- Work backwards from customers to build service roadmap and work with engineering and scientists to execute on the roadmap
- Creating/revise GTM strategy and be responsible for pricing new features or update pricing for existing features working closely with finance
- Work with field and BD team to partner with top executives from Healthcare organizations for adoption
- Responsible for creating and reporting on the service's revenue and customer traction through weekly and monthly business reports that is shared with leadership.
A day in the life
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.
About the team
As part of the AWS Applied AI Solutions 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.

- 6+ 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)

- Prior experience in building SaaS products in healthcare domain
- Experience in launching AI/ML powered applications and products
- Expertise in genomics and bioinformatics, including experience with domain specific languages such as Nextflow, WDL, and CWL.
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 $137,000/year in our lowest geographic market up to $236,800/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.