AWS EMEA SARL (UK Branch)
Sales, Advertising, Account Management, Tech, Customer Solutions Mgr, Cloud Computing
CustomerSolutionsManager,Prototyping&CustomerEngineering
“Customer Solutions Manager, Prototyping & Customer Engineering at AWS EMEA SARL (UK Branch). Skills: AI adoption, Generative AI, Agentic AI, Prototyping. Own AI-focused customer engagements end-to-end. Partner with Prototyping Engineers and Design Technologists”
What You'll Achieve.
Define solution requirements; Define success criteria; Define scope; Accelerate delivery; Measure success; Improve team efficiency; Improve prototype delivery speed; Improve knowledge sharing; Ensure successful outcomes; Ensure production readiness; Ensure long-term customer value
Industry & Context.
Solving ambiguous problems; Navigating trade-offs; Risk review; Root cause analysis
About 25% Domestic Travel
What They're Looking For.
Must Have
Bachelor's degree in science, technology, engineering, math, business or equivalent, Experience leading large-scale, technical or engineering programs, Experience in customer-facing work, Experience leading technical and non-technical transformation project teams, Experience in written and verbal communication
Nice to Have
PMP certification, SCRUM/Agile certification, SAFe certification, Experience implementing cloud services, Experience defining KPI's/SLA's
What You'll Do.
Own AI-focused customer engagements end-to-end
Partner with Prototyping Engineers and Design Technologists
Deliver breakthrough solutions
Apply Amazon's Working Backwards methodology
Orchestrate complex customer engagements
Experiment with innovative approaches
Validate technical feasibility of solutions
Define solution requirements
Define success criteria
Facilitate AI solution design
Facilitate agentic architecture patterns
Coordinate adoption of AI-driven development tools
Partner with Global Sales and Solutions Architecture teams
Identify Generative AI opportunities
Qualify Generative AI opportunities
Identify Agentic AI opportunities
Qualify Agentic AI opportunities
Support PACE leadership with program-level strategy
Build relationships with customer executives
Build relationships with AWS leadership
Maintain relationships with customer executives
Maintain relationships with AWS leadership
Present structured communications
Conduct operational reviews
Report on AI outcomes
Report on business impact
Establish engagement metrics
Track delivery velocity
Contribute to program-level KPIs
Develop processes that improve team efficiency
Develop processes that improve prototype delivery speed
Develop processes that improve knowledge sharing
Identify risks specific to AI implementations
Develop mitigation strategies
Ensure successful outcomes
Apply product thinking to AI prototypes
Design AI prototypes with responsible AI practices
Design AI prototypes with production readiness
Design AI prototypes with long-term customer value
How You'll Work.
Team & Collaboration
Prototyping Engineers; Design Technologists; Global Sales teams; Solutions Architecture teams; Customer data science team; Customer infrastructure team
Communication Scope
Structured communications; Clear reporting; Complex technical information
Process & Methodology
Working Backwards methodology, Program management, Agile
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