Job Description
Own a priority area of Amazon Quick and shape how agentic AI changes work for the world"s most demanding enterprise customers. This role is for someone who has gone deep in a complex or regulated field and wants to turn that expertise into products practitioners can"t work without.
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.
Numbers & Facts
| Location | Santa Clara, CA |
| 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
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