Job Description
The Enterprise Engineering Product Management team builds productivity tools used by hundreds of thousands of Amazonians worldwide spanning corporate offices, customer service, fulfillment centers, and a diverse development community. We are seeking a Senior Product Manager - Technical to own hands-on delivery of AI-powered products and process automation at Amazon scale.
This is a builder role. You will personally develop proof-of-concept solutions, automate product workflows end-to-end, and translate customer needs into working prototypes that accelerate the product development lifecycle. You"ll use AI as your primary tool, from spec creation through production and raise the bar for how AI is embedded into everyday product work. You will define product requirements through hands-on experimentation, collaborate directly with engineering to move validated prototypes into production, and partner with AWS teams on platform integration.
This role requires coordination across internal and external teams. You work with customers, partners, and operational stakeholders to evaluate emerging technologies, rapidly prototype solutions, and drive adoption of AI tools that measurably improve team velocity.
You bring: Exceptional problem-solving skills. Deep, hands-on experience building with AI/ML tools (not just evaluating them). Sound business judgment. A track record of personally shipping high-impact technical solutions - not just writing requirements for others to build. You can articulate when a new technology is needed (and when it is not), and you back that judgment with direct experience. An engineering background is required.
Key job responsibilities
Own end-to-end delivery of AI-powered products for Enterprise Engineering - from problem identification through working prototype to production launch.
Build and validate proof-of-concept solutions hands-on, using AI tools as a force multiplier
Identify and implement automation across product management workflows (BRD, PRFAQ, POC creation, spec-driven development).
Define product requirements informed by rapid prototyping and direct experimentation - not just stakeholder interviews.
Evaluate and apply emerging AI/ML technologies to solve real customer problems and accelerate delivery.
Collaborate directly with AWS team members on Quick product integration and support
Partner with engineering to move validated prototypes into production-ready features.
Reprioritize dynamically and demonstrate bias for action by shipping working solutions quickly
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Amazon Web Services (AWS)unmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Communication Skillsunmatched
- Customer Support/Serviceunmatched
- Embedded Systemsunmatched
- Emerging Technologyunmatched
- Identify Issuesunmatched
- Operational Auditunmatched
- Order/Customer Fulfillmentunmatched
- Problem Solving Skillsunmatched
- Product Developmentunmatched
- Product Engineeringunmatched
- Product Lifecycleunmatched
- Product Managementunmatched
- Product Supportunmatched
- Production Specificationsunmatched
- Productivity Managementunmatched
- Proof of Conceptunmatched
- Prototypingunmatched
- Rapid Prototypingunmatched
- Requirements Managementunmatched
- Technical Supportunmatched
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