Principal Technical Product Manager - Amazon Quick, AWS Agentic AI
AI in this role
You will own strategy and execution end to end, work side by side with enterprise customers and their executives, and turn real domain insight into measurable value.
- Own a priority area end to end, from strategy and roadmap through delivery and adoption
- Work directly with enterprise customers and their executives, inside their environments
- Shape how agentic AI shows up for expert customers, alongside AWS science and Bedrock teams
- Partner with AWS Industries, ProServe, and the field to win the last mile in enterprise accounts
Key job responsibilities
You own the strategy and execution for a priority area of Amazon Quick, from first idea through delivery and adoption. You learn how your customers work, what they need, and what earns their trust, then turn that into product capabilities that matter.
- Own the roadmap for your area: pick the high-value use cases, sequence the investments, and set clear adoption and revenue targets
- Turn hard customer needs, like domain data models, compliance-aware access, and complex workflows, into clear requirements for engineering and science
- Work directly with enterprise customers and their executives, spend real time in their environments, and test your product bets against what you see
- Shape how agentic AI works for expert customers, and build the capabilities they need with AWS science and Bedrock teams
- Partner with AWS Industries, ProServe, and the field to clear the barriers that slow Quick down in enterprise accounts
- Own the business case for your area, and make the hard calls between near-term wins and long-term platform strength
A day in the life
Most days, you move between three groups. You sit with enterprise customers and their executives to learn how they work and where they get stuck. You bring that back to engineering, design, and science to turn real needs into shipped capabilities. And you work with AWS Industries, ProServe, and field teams to clear the path in live accounts.
About the team
We build the product that helps the world's largest enterprises put agentic AI to real work. We sit where product vision, business strategy, and hard technical problems meet, and we partner closely with AWS Industries, ProServe, and the field to carry Quick the last mile into enterprise accounts.
Basic qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management
- 10+ years of end to end product delivery experience
Preferred qualifications
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Santa Clara - 206,900.00 - 279,900.00 USD annually
How we score this
Principal Technical Product Manager - Amazon Quick, AWS Agentic AI at Amazon scores 66 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Questions you could be asked
- What's a project where you used Bedrock hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Bedrock. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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