Software Engineer - Embedded Systems | Marine Autonomous Vehicle Jobot
Seattle, WA6 days ago
- $145,000–$190,000 Per Year
Highlights
The Sales Technology team within Global Sales Operations delivers best-in-class products and data solutions to improve Amazon Advertising sales effectiveness worldwide. Our tech challenges are unique: integrating with CRM platforms, building NAWS products and APIs from scratch, and shaping how AI transforms the sales experience.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Build AI-powered sales enablement products that put the right customer intelligence at Amazon Advertising"s front-line sales team"s fingertips - orchestrating AI workflows across dozens of models, building context systems that make every interaction smarter, and scaling it all to meet Amazon"s standards for reliability and security. You"ll work at the intersection of AI and software engineering solving novel problems that directly accelerate advertising revenue growth.
The Sales Technology team within Global Sales Operations delivers best-in-class products and data solutions to improve Amazon Advertising sales effectiveness worldwide. We"re ensuring sales teams have everything they need to understand customer potential and up-sell opportunities without wasting time on inefficiencies. You"ll own end-to-end product development - from customer/stakeholder engagement and requirements definition through implementation and operation at scale. Our tech challenges are unique: integrating with CRM platforms, building NAWS products and APIs from scratch, and shaping how AI transforms the sales experience. If you want to work alongside exceptional talent shaping this transformation, this is your team.
Key job responsibilities
- Architect and implement scalable backend services and customer-facing features that power AI-driven sales enablement products
- Develop responsive, performant UI experiences using modern frameworks (React) to delight internal customers
- Own services end to end - from design through deployment, monitoring, and operational excellence
- Orchestrate AI workflows across multiple models and build context systems that make every sales interaction smarter
- Write clean, maintainable, well-tested code; participate in design and code reviews; raise the quality bar for the team
- Participate in on-call rotations, drive root-cause analysis, and build automated monitoring and alerting
- Partner with product managers, designers, and peer engineers to define technical solutions that meet customer needs
- Guide junior engineers through code reviews, design discussions, and best practices
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
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