Product Manager, Alexa- Echo Devices

Amazon is hiring a Product Manager, Alexa- Echo Devices in Seattle, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.

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On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
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AI in this role

** This role is open for both Seattle and Sunnyvale locations**

As a Senior Product Manager in the Alexa Echo Devices team, you will own the in-market portfolio for the product line that defined the smart-speaker category — hundreds of millions of Echo devices in homes worldwide. This is a portfolio-level role with real strategic breadth: you'll think across device generations, form factors, and customer segments simultaneously, making high-impact decisions powered by some of the richest telemetry and performance data in consumer hardware.

You will be accountable for monitoring market performance, managing the full product lifecycle from post-launch through end-of-life, and making trade-offs between user experience, business impact, and engineering feasibility. Your lifecycle learnings will feed directly into next-generation Echo development — you're not just maintaining products, you're shaping what comes next. This role is inherently cross-functional; you'll partner daily with Engineering, Sales, Marketing, Data Science, Legal, PR, and executive leadership to manage one of Amazon's most visible consumer hardware portfolios.

Key job responsibilities
You will own the Monthly Business Review (MBR) as the primary mechanism for inspecting device performance and driving cross-functional action. Using telemetry, star ratings, reviews, latency data, and sales performance, you will identify what needs to change and drive post-launch improvements — primarily on the software side through firmware updates, experience enhancements, and performance tuning — into shipped products at scale.

At the portfolio level, you will define the sustaining product roadmap, develop the full lifecycle management strategy, and lead global upgrade conversion and new customer acquisition efforts that grow the installed base. When a product faces challenges, you will determine the right trade-offs between investing more, sustaining, or sunsetting — and own the recommendation to leadership.

You will translate field data, upgrade funnel analytics, and lifecycle impact analysis into clear investment priorities, ensuring that every insight you surface informs next-generation Echo product development. Your strategic decisions will shape how next-generation capabilities are delivered across device hardware generations with varying compute profiles.

A day in the life
As a Senior Product Manager on the Alexa Echo Devices team, your day will involve monitoring product health signals across the portfolio — telemetry, star ratings, customer reviews, Alexa response latency, and sales performance — to answer the core question: are these devices doing well in-market, and if not, what needs to change? You'll lead cross-functional reviews, drive software-side improvements into already-shipped hardware, and make portfolio trade-off decisions that balance customer experience, business outcomes, and engineering feasibility. Every function touches your work — Engineering, Sales, Marketing, Data Science, Legal, and PR.

About the team
The Alexa Echo Devices team owns every "Hey Alexa" hardware product — the full Echo device lineup. PMs on the team each lead individual products through development and post-ship performance management. This role focuses on what happens after launch: monitoring market performance, managing the product lifecycle, and making trade-offs, investment, and end-of-life. The team is inherently cross-functional, partnering across engineering, marketing, operations, finance, and executive leadership to manage one of Amazon's most visible consumer hardware portfolios.

Basic qualifications

- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience working across functional teams and senior stakeholders
- Experience as a product manager or owner

Preferred qualifications

- Experience in influencing senior leadership through data driven insights
- Master's degree or equivalent

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 - 136,000.00 - 184,100.00 USD annually

How we rate this

Product Manager, Alexa- Echo Devices at Amazon rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.