Product Ownership and Delivery
Own customer outcomes for your engagements, operating inside customer environments with real constraints — regulated data, brownfield infrastructure, multi-stakeholder governance
Follow AI DLC to iteratively define problems, write requirements, and deliver production code in weeks, not months
Drive solutions from launch to adoption by capturing user feedback, iterating, and proving defined business value
Make judgment calls about what simplifications are acceptable and when a product is ready to ship versus when it needs more iteration
Platform Feedback
Identify what breaks or slows down across your deployments and surface those findings to senior PMs and engineering
Contribute to the feedback loop between field delivery and the product/engineering roadmap
Advocate for graduating custom pod work into reusable platform capabilities with supporting data
Industry Learning and Reuse
Build domain expertise within your engagement vertical
Contribute to industry-specific accelerators, reference architectures, and blueprints that make future engagements faster
Document repeatable patterns from your work so solved problems become reusable assets
Go-to-Market Contribution
Contribute to customer stories and reference architectures drawn from your engagements
Provide field-level input on pricing, positioning, and what it takes to deliver outcomes to sales and marketing partners
About the team
ABOUT AWS
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
10047
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
5+ years in product management, with experience in enterprise environments
Experience in building AI/ML products or working with agentic systems and enterprise workflow automation
Experience defining product requirements, writing product requirements documents, and setting success criteria that align engineering execution with measurable results
Experience engaging with Director-level or senior technical stakeholders
Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
Experience delivering production systems inside enterprise customer environments: regulated data, legacy infrastructure, organizational complexity
Background in field-facing product management — has spent time working directly with customers on deployments from discovery through production launch
Experience in at least one enterprise vertical: financial services, healthcare/life sciences, manufacturing, telecommunications, or public sector
Experience with value-based scoping, including quantifying business value (ROI, P&L impact) and defining outcome-based success criteria
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 151,200.00 - 204,600.00 USD annually
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
