Are you motivated to help customers in various industries innovate by utilizing new, emerging cloud technologies, and AWS products? Do you thrive in a fast-paced, dynamic, and always evolving technology landscape?
The Prototyping and AI Customer Engineering (PACE) Engagement Manager (EM) plays an essential role in delivering prototyping and cloud engineering engagements. The EM collaborates with account teams, partners and customers to uncover opportunities where AWS emerging technologies can transform their business, crafting a clear vision and value proposition that inspires innovation. This role collaborates with Solutions Architects and Prototyping Engineers to oversee the delivery of prototypes, through engagements that are scoped for feasibility, impacts, and long-term business value. By building relationships and earning customer trust, aligning stakeholders, and driving cross-functional collaboration, the EM accelerates strategic outcomes for customers of all sizes, in all industries.
Key job responsibilities
Proactively identify prototyping opportunities with partners, customers, sales, and account teams. EMs dive deep to understand the customer’s business priorities, as well as their technical context, to identify opportunities or gaps that require use of emerging technologies and AWS services.
Create, articulate, and position a compelling vision and value proposition to convey the financial, technological and transformational value of experimenting.
Work alongside Solutions Architecture leadership to support customers in the exploration, ideation, engineering and delivery of leading edge, innovative, cloud-based solutions leveraging an extensive breadth of new and emerging technologies.
Qualify, execute and deliver strategic innovation, and prototyping outcomes for a variety of customers across a broad range of industries and verticals, by leading and managing the delivery of engagements.
Establish the scope of engagements and define working arrangements in collaboration with customers’ technical and business stakeholders. This includes evaluating feasibility and potential long-term impact and outcomes for customers and Amazon, to ensure return on investment of engagements.
Drive collaboration across cross-functional teams, both internal and external, and facilitate stakeholder management across all levels from senior customer leadership to project teams.
Develop extensive executive and senior technical relationships within client organizations; being viewed as a trusted advisor for innovation and cloud technology.
Help customers and partners align their technical and organizational resources to ensure maximum benefit can be derived from innovation, prototyping, and the adoption of the AWS cloud.
Capture learnings and customer feedback from engagements and cascade these across the wider organization to improve services and products. EMs also participate in awareness campaigns and share technical and procedural knowledge derived from their engagements.
If you are thrilled by the opportunity to address a diverse range of business problems and use cases with novel and innovative solutions, we would love to have you join our team.
About the team Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The Prototyping and AI Customer Engineering (PACE) team interacts with leading companies to innovate and deliver mission-critical business solutions on top of AWS services.
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Basic Qualifications
- 7+ years of customer-facing, large-scale implementation consulting experience across multiple cross-functional teams
- 7+ years of program/project management experience leading complex, end to end projects
- Demonstrated hands-on experience delivering cloud-based solutions on AWS or equivalent cloud services, including working knowledge of Generative AI services
- Native level Japanese language skills and Business level English language skills (speaking, reading, and writing)
Preferred Qualifications
- Experience engaging and influencing C-level and senior executive stakeholders, with a track record of building trusted advisor relationships within enterprise customer organizations
- Familiarity with Generative AI, machine learning, or other emerging cloud technologies, with the ability to communicate their business value to both technical and non-technical audiences
- Experience working across diverse industries and verticals (e.g., financial services, manufacturing, retail, public sector, etc) to identify and drive cloud innovation opportunities
- Background in pre-sales, business development, or solution consulting, with experience collaborating alongside sales and account teams to uncover and qualify new opportunities
- Demonstrated ability to capture and share learnings from customer engagements to improve team practices, services, or organizational knowledge
- Experience working in or with partner ecosystems, including system integrators, ISVs, or technology alliances, to co-deliver cloud solutions
- AWS certification(s) or equivalent demonstrated knowledge of AWS services, architectures, and best practices
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