Amazon Web Services (AWS) is seeking an experienced Prototyping Engagement Manager (PEM) to lead customer prototype projects with AWS technology in France. A prototype is a two to six weeks hands-on engagement where we build together with our customers a functional use case leveraging innovative AWS technology such as generative AI, Data Analytics or Serverless, helping them clarify their decision making and accelerate business outcomes.

The PEM role works closely with sales, solutions architects and regional leadership to identify, qualify, scope, and manage high impact time-boxed prototypes; to ensure a proper path-to-production for prototypes; and to communicate internally and externally to wide audiences and to senior leadership. The PEM works in close partnership with Prototyping Architects (PAs) and other technical stakeholders, who are in charge of the technical delivery of projects. The PEM is driving the business side of engagements, but is also a technologist, able to dive deep and understand how different technology options impact customer outcomes differently.

The role is based in Paris and might require regular travels in France, as well as occasional travel in EMEA.


Key job responsibilities
• Proactively develop and drive a go-to-market strategy with sales and leadership stakeholders in France to develop a healthy pipeline of high impact prototyping opportunities
• Dive deep with customers to understand their business pain points and gaps that can be addressed with innovative architecture designs. Establish the scope and define a working setup in collaboration with technical as well as business stakeholders of a prototype. Work with customers and AWS stakeholders to ensure a viable path to production for qualified prototypes
• Lead the planning, design and execution of prototypes with prototyping architects, account teams and other stakeholders
• Help customers structure their technical and organizational resources to ensure maximum benefits from adoption or leverage of AWS technology
• Develop extensive executive and senior technical relationships within client organizations as well as internally in AWS; develop as a trusted advisor for innovation and cloud technology
• Capture learnings as well as customer feedback from engagements and drive those learnings into the wider organization to improve services and products
• Support the development of reusable assets and other artefacts leveraging the outcomes from prototypes. Develop thought leadership activities, such as blog post writing or public speaking sessions


A day in the life
Diverse Experiences
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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.


Work/Life Balance
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Inclusive Team Culture
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Mentorship and 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.• Masters in Engineering, Computer Science or other relatable technical discipline. MBA is a plus
• Demonstrable experience leading ideation process and adoption of disruptive technologies, transforming complex business requirements into productive assets
• 5+ years of proven experience in delivering highly complex, cross functional, multi-discipline technology projects or engineering programs
• Meaningful experience working with go to market stakeholders such as account teams, business development or service delivery teams as part of a large technology organization
• Strong verbal and written communications skills
• 5+ years experience in software, hardware or integrated systems design and delivery
• 3+ years of demonstrable experience using modern agile development and delivery methodologies
• Technical depth in areas of emerging technology such as AI/ML, Generative AI, Data Analytics, Serverless compute
• AWS Knowledge and Certification as an AWS Solutions Architect


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