Amazon
Sr Product Manager, Technical, WW Prime
- Seattle, Washington
- Onsite
- full time
- $151k–$205k/year
- Posted today
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About the role
Are you excited about shaping products that reach millions of customers? Do you
thrive at the intersection of technology and customer experience, turning
ambiguity into clear product strategy? As a Technical Product Manager at Amazon,
you will own the vision, roadmap, and delivery of products that solve real
customer problems at scale. You will partner closely with engineering, design,
science, and business teams to define what we build and why — using data,
customer insights, and sound judgment to make smart trade-offs. This role offers
the opportunity to work on complex technical challenges, influence product
architecture decisions, and drive meaningful business outcomes while keeping the
customer at the center of everything you do.
Key job responsibilities
- Define product vision, strategy, and roadmap by working backward from customer
needs, conducting research, analyzing usage data and market trends, and
translating insights into clear problem statements and prioritized deliverables.
- Partner with engineering, scientists, end economists to evaluate technical
proposals, define requirements for APIs and system components, and ensure
product solutions balance performance, scalability, and long-term architectural
integrity.
- Drive cross-functional alignment across engineering, science, design, finance,
marketing, and operations to deliver products on time and at high quality,
influencing teams with different priorities through clear communication and
well-structured documents.
- Define success criteria and key performance metrics, distinguish between
output and outcome measures, and use data analysis alongside sound judgment to
inform decisions — leveraging generative AI capabilities where appropriate to
accelerate insight generation and development cycles.
- Influence multiple VP-led organizations on their customer experience
approaches and investment priorities
- Own the full product lifecycle from concept through launch and post-launch
optimization, monitoring operational health, driving customer adoption, and
iterating based on performance data and direct customer feedback.
A day in the life
You start your morning reviewing product metrics and customer feedback to
identify emerging patterns. By mid-morning, you are in a design review with
engineers, probing trade-offs in a proposed architecture change and aligning on
next steps. After lunch, you draft a product requirements document for an
upcoming feature, grounding it in recent customer research. Later, you connect
with cross-functional partners in marketing and operations to coordinate an
upcoming launch. Throughout, you use AI tools to prototype ideas and accelerate
analysis, keeping your focus on delivering the right experience for customers.
About the team
Our team is focused on building products that make a meaningful difference for
customers. We operate in a collaborative environment where product managers,
engineers, designers, and scientists work side by side to solve complex problems
and ship impactful solutions. We value curiosity, clear thinking, and a
willingness to challenge assumptions. Looking ahead, we are investing in new
capabilities — including AI-driven experiences — to push the boundaries of what
our products can do. If you want to shape the future of technology-driven
products at Amazon and grow alongside a talented, inclusive team, we would love
to hear from you. Basic Qualifications: - Bachelor's degree in engineering,
statistics, computer science, operations research, business analytics,
information systems or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions
and strategy related to a product
- Experience in representing and advocating for a variety of critical customers
and stakeholders during executive-level prioritization and planning Preferred
Qualifications: - MBA, or Master's degree in BI, finance, engineering,
statistics, computer science, mathematics, finance or equivalent quantitative
field
- Background in analytics and causal inference (strongly preferred)
- Experience working with Machine Learning Scientists, Economists, or other
science domains to develop highly scalable systems that solve challenges around
forecasting, optimization, personalization, or similar
- Demonstrated cross-functional ownership of complex, ambiguous initiatives,
including communicating with senior leadership
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
[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
[https://amazon.jobs/en/benefits].
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
Skills
- Product strategy
- Roadmap development
- Technical product management
- Data analysis
- Customer research
- Cross-functional leadership
- System architecture
- Generative AI
- Machine learning
- Forecasting
- Optimization
- Stakeholder management
- API design
- Performance metrics
- Product lifecycle management
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