Principal Technical Product Manager , Amazon Quick (AWS)

Amazon; Seattle (WA); On-site; USD 181,000 - 245,000; Full time

Job summary

Amazon is seeking a Principal Technical Product Manager for Amazon Quick to own the end-to-end user experiences across Web, Desktop, Mobile, and Extensions. You will define the vision, roadmaps, and success metrics to energize AI-powered agents across surfaces and drive adoption from onboarding to power users.

You will lead cross-functional teams including Engineering, UX Design, Applied Science, and GTM to ship world-class experiences while balancing power with simplicity and earning user trust

Qualifications

• 7+ years of technical product management experience.
• 5+ years of technical (software development, network development, IT) experience.
• Experience delivering large-scale SaaS, PaaS or LaaS products from concept to GTM.

Responsibilities

• Own the end-to-end Amazon Quick experience across surfaces and define the vision, roadmap, and success metrics.
• Drive data-informed product decisions through analytics, experimentation, and cohort analysis.
• Define unified experience framework and design systems for cohesive cross-platform UX.

Skills

Technical product management

Cross-functional leadership

Data-informed decisions

Job description

Principal Technical Product Manager , Amazon Quick

Job ID: 10528515 | Amazon Development Center U.S., Inc.

Amazon Quick is building the future of AI-powered work — an intelligent companion that connects to your tools, learns your context, and automates your workflows through autonomous agents. We're looking for a Principal Product Manager - Technical to own and drive our end-to-end user experiences — defining how millions of knowledge workers interact with AI agents across Web, Desktop, and Mobile, and shaping the surfaces where autonomous work becomes visible, trustworthy, and delightful.

You will own the vision for Amazon Quick's Web, Desktop, Mobile, and Extensions experiences — the primary surfaces through which customers discover, interact with, and benefit from AI-powered agents. You'll define how conversation, collaboration, and autonomous task execution come together in a unified experience that adapts to how people actually work: in the browser, at their desk, on the go, and everywhere in between. You'll drive the strategy for how agents surface insights, take action, and earn user trust through thoughtful UX that balances power with simplicity — ensuring Amazon Quick becomes the indispensable AI companion that workers reach for first, on every device.

Key job responsibilities

• Own the Amazon Quick experience end-to-end across surfaces— define the vision, roadmap, and success metrics for how customers interact with AI agents on every surface.
• Drive data-informed product decisions through funnel instrumentation, experimentation, and cohort analysis. Prioritize complex deliverables across engineering, design, and science teams while managing technical trade-offs.
• Define the unified experience framework — interaction patterns, navigation models, and design systems — that deliver a cohesive, high-quality experience across all platforms while leveraging each surface's unique strengths.
• Own cross-platform orchestration — how the experience adapts across form factors, handles context continuity between devices, and delivers seamless transitions from desktop deep-work to mobile triage and back.
• Drive the customer adoption journey from first-run onboarding through power-user engagement, ensuring every surface earns habitual daily use.
• Scale the experience to meet organizational goals. Lead cross-functional execution with Engineering, UX Design, Applied Science, and GTM teams to ship world-class products across all platforms.

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

• Experience designing adaptive systems that vary behavior by device, context, or user state
• Track record of decomposing ambiguous problems into structured frameworks
• Direct collaboration with applied scientists or ML engineers — co-defining inputs/outputs, evaluation criteria, or routing logic
• Comfort with probabilistic/LLM-based systems — can reason about capabilities, failure modes, and offline evaluation without needing to build them

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 .

Preferred Qualifications

• Experience designing adaptive systems that vary behavior by device, context, or user state
• Track record of decomposing ambiguous problems into structured frameworks
• Direct collaboration with applied scientists or ML engineers — co-defining inputs/outputs, evaluation criteria, or routing logic
• Comfort with probabilistic/LLM-based systems — can reason about capabilities, failure modes, and offline evaluation without needing to build them

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, WA, Seattle - 181,100.00 - 245,000.00 USD annually

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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.