Customer Solutions Manager, Prototyping & Customer Engineering

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Adoption, Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Blueprints, Cloud Architecture, Cloud Computing, Customer Relations, Customer Support/Service, Data Science, Develop and Maintain Customers, Emerging Technology, Executive Relationships, Feasibility Analysis, Financial Services, International Sales, Leadership, Manufacturing, Mentoring, Metrics, Modeling Languages, Operational Audit, Operational Communications, Partner Sales, Performance Metrics, Problem Solving Skills, Process Improvement, Programming Tools, Prototyping, Quality Management, Requirements Management, Retail Construction, Risk Analysis, Software Development, Solution Sales, Startup, Strategic Analysis, Strategic Planning, Supply Chain Optimization, Technical Delivery, Technical Support, Willing to Travel
LOCATION
Seattle, WA
POSTED
30+ days ago

Do you have a builder's mentality where "show me" means more than "tell me"? Are you passionate about technology, understand cloud architectures & platforms and quick to pick up emerging technologies? Are you adept at working with customers to experiment with innovative approaches and the validate the technical feasibility of solutions?

As trusted customer advocates, the Prototyping and Customer Engineering (PACE) team helps customers in creating the early iterations of products and solutions, often exploring new technical grounds. The team is looking for a Customer Solutions Manager who can orchestrate complex customer engagements from concept to delivery. If you"re passionate about AI technologies, love solving ambiguous problems, and thrive on helping teams move fast while maintaining quality, this is your opportunity to shape how organizations globally approach AI adoption.

In this role, you"ll own AI-focused customer engagements end-to-end, partnering with Prototyping Engineers and Design Technologists to deliver breakthrough solutions. You"ll work with technologies like large language models, RAG architectures, autonomous agents, and AI-driven development tools while applying Amazon"s Working Backwards methodology to ensure every prototype starts with customer outcomes. This isn"t a typical TPM role - you"ll be at the forefront of the AI revolution, working on problems that don"t have obvious answers and creating patterns that influence the entire industry.

Position requires travel - About 25% Domestic Travel

Key job responsibilities

  • Own strategic AI-focused customer engagements from kick-off through delivery, applying Working Backwards methodology to define solution requirements, success criteria, and scope
  • Facilitate PACE Prototyping Engineers and Design Technologists in AI solution design and agentic architecture patterns, coordinating adoption of AI-driven development tools to accelerate delivery
  • Partner with Global Sales and Solutions Architecture teams to identify and qualify Generative AI and Agentic AI opportunities, supporting PACE leadership with program-level strategy
  • Build and maintain relationships with customer executives and AWS leadership through structured communications, operational reviews, and clear reporting on AI outcomes and business impact
  • Establish engagement metrics, track delivery velocity, and contribute to program-level KPIs that measure success
  • Develop and implement processes that improve team efficiency, prototype delivery speed, and knowledge sharing across the PACE community
  • Proactively identify risks specific to AI implementations and develop mitigation strategies to ensure successful outcomes
  • Apply product thinking to ensure AI prototypes are designed with responsible AI practices, production readiness, and long-term customer value

A day in the life

Your morning dives into three active prototype engagements pushing the boundaries of what"s possible with Agentic AI: a retail customer building an agentic shopping assistant, a financial services firm prototyping fraud detection, and a manufacturing company exploring supply chain optimization. Each novel challenge becomes a blueprint illuminating the path for enterprises globally. You facilitate a customer working session between their data science team and your Prototyping Engineer, navigating trade-offs between accuracy and latency. Mid-morning, you run a risk review identifying a data access blocker, coordinating quickly with the customer"s infrastructure team and AWS Solutions Architects to unblock progress. You partner with Sales on a new opportunity, assessing feasibility and strategic fit. Afternoon brings a stakeholder sync demoing agent orchestration patterns and a team retrospective capturing breakthrough learnings. You"re the connective tissue keeping engagements moving at unprecedented speed, removing blockers, ensuring quality, and shaping how enterprises adopt transformative AI.

About the team

The Prototyping and Customer Engineering (PACE) team is a group of hands-on builders that works with AWS customers to derisk or accelerate the launch of a new product or service. Through rapid, time-boxed prototyping engagements, PACE helps customers explore the art of the possible with AWS, turning bold ideas into working solutions that demonstrate real business value. PACE operates at the frontier of emerging technology, with deep expertise in Generative AI, Agentic AI, AI/MAL, and modern agentic application development.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

About the Company

A

Amazon.com Inc

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
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles