Customer Solutions Manager, Prototyping & Customer Engineering
Amazon Web Services (AWS) · Dallas, TX
- On site
- Full-time
- $153,600 / year
- Dallas, TX
Job highlights
- Lead AI customer engagements from concept to delivery.
- Orchestrate prototyping with AI and agentic technologies.
- Collaborate with sales and customer executives.
- Drive innovation using Amazon's Working Backwards.
- Solve complex AI problems for global organizations.
About the role
Job Summary
Amazon Web Services (AWS) is seeking a Customer Solutions Manager for its Prototyping & Customer Engineering (PACE) team. This role is for individuals with a builder's mentality, a passion for technology, and an understanding of cloud architectures. You will work with customers to experiment with innovative approaches and validate the technical feasibility of solutions, focusing on AI technologies. The PACE team helps customers in creating early iterations of products and solutions, often exploring new technical grounds.
About the Role
As a Customer Solutions Manager, you will orchestrate complex customer engagements from concept to delivery, with a focus on AI. You will own AI-focused customer engagements end-to-end, partnering with Prototyping Engineers and Design Technologists to deliver breakthrough solutions. You will work with technologies like large language models, RAG architectures, autonomous agents, and AI-driven development tools, applying Amazon's Working Backwards methodology. This role is at the forefront of the AI revolution, tackling challenging problems and creating industry-influencing patterns.
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 typical day involves managing multiple active prototype engagements at the cutting edge of AI, such as developing agentic shopping assistants, prototyping fraud detection, or optimizing supply chains. You will facilitate customer working sessions, manage risks, and partner with sales on new opportunities. You will also demo progress to stakeholders and conduct team retrospectives to capture learnings. Your role is to ensure engagements move quickly, maintain quality, and shape enterprise AI adoption.
About The Team
The Prototyping and Customer Engineering (PACE) team comprises hands-on builders who collaborate with AWS customers to derisk or accelerate new product or service launches. Through rapid, time-boxed prototyping, PACE helps customers explore possibilities with AWS, transforming bold ideas into solutions with demonstrated business value. The team possesses deep expertise in Generative AI, Agentic AI, AI/MAL, and modern agentic application development.
Why AWS?
AWS is the world's most comprehensive and broadly adopted cloud platform. We are pioneers in cloud computing, constantly innovating and trusted by startups to Global 500 companies to power their businesses. AWS offers an inclusive culture, mentorship, career growth opportunities, and values work-life harmony.
Basic Qualifications
- Bachelor's degree in science, technology, engineering, math, business or equivalent.
- 6+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience.
- 6+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience.
- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams.
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.
Preferred Qualifications
- PMP certification, or SCRUM/Agile, SAFe certification.
- Experience implementing cloud services including migrations and modernization projects or similar.
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership.
Key skills/competency
- Customer Solutions Manager
- Prototyping
- Customer Engineering
- AI
- Generative AI
- Agentic AI
- Cloud Architecture
- Project Management
- Technical Programs
- Customer Engagement
Skills & topics
- Customer Solutions Manager
- Prototyping
- Customer Engineering
- AI
- Generative AI
- Agentic AI
- Cloud Computing
- Project Management
- Technical Programs
- Customer Engagement
- AWS
- Amazon Web Services
- Large Language Models
- RAG
- Autonomous Agents
- Solutions Architecture
- Program Management
- Manager
- Lead
- Senior
How to get hired
- Tailor your resume: Highlight experience in leading technical programs, customer engagement, and AI technologies.
- Showcase AI expertise: Emphasize projects involving large language models, RAG, or autonomous agents.
- Demonstrate leadership: Provide examples of managing cross-functional teams and delivering complex solutions.
- Prepare for interviews: Be ready to discuss your approach to problem-solving and customer collaboration.
- Understand Amazon's culture: Research the 'Working Backwards' methodology and AWS's customer obsession.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Customer Solutions Manager role at AWS PACE?
- The Customer Solutions Manager at AWS PACE focuses on leading AI-driven customer engagements from initial concept through to delivery, ensuring technical feasibility and successful implementation of prototypes.
- What AI technologies will I work with as a Customer Solutions Manager at AWS?
- You will work with a range of AI technologies including large language models (LLMs), Retrieval-Augmented Generation (RAG) architectures, autonomous agents, and AI-driven development tools.
- What is the 'Working Backwards' methodology, and how is it applied in this role?
- The 'Working Backwards' methodology is Amazon's approach to product development, starting with the customer and working backward. In this role, it ensures that every AI prototype begins with a clear understanding of customer outcomes and business impact.
- What is the expected travel percentage for this Customer Solutions Manager position?
- This position requires approximately 25% domestic travel.
- What are the basic qualifications for the Customer Solutions Manager role at AWS?
- Basic qualifications include a Bachelor's degree in a relevant field, 6+ years of experience leading large-scale technical programs, 6+ years of customer-facing experience with advanced technologies, and experience leading transformation project teams.
- Does AWS encourage applications from candidates with non-traditional career paths?
- Yes, AWS values diverse experiences and encourages applications from candidates who may not meet all qualifications, or whose careers have not followed a traditional path.
- What kind of team will I be joining as a Customer Solutions Manager?
- You will join the Prototyping and Customer Engineering (PACE) team, which consists of hands-on builders with deep expertise in emerging technologies like Generative AI and Agentic AI.
- How does AWS support career growth for its employees?
- AWS offers continuous learning, mentorship, and career-advancing resources to help employees develop into well-rounded professionals, striving to be Earth's Best Employer.