Amazon Web Services Canada, Inc.

Technology

TechnicalProgramManagerIII,AWSPrototypingandAICustomerEngineering(PACE)

CA$100–214k Toronto, Ontario, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Technical Program Manager III, AWS Prototyping and AI Customer Engineering (PACE) at Amazon Web Services Canada, Inc.. Skills: AI Customer Engineering, Generative AI, Agentic AI, Prototyping. Own AI-focused customer engagements. Apply Working Backwards methodology”

What You'll Achieve.

Accelerate AI innovation; Deliver breakthrough solutions; Ensure successful outcomes; Design for long-term value

Industry & Context.

Technology
Problems you'll solve

Solving ambiguous problems

Eligibility Requirements

25% Domestic Travel, 10% International Travel

What They're Looking For.

Must Have

Bachelor's degree in engineering, 6+ years project management disciplines, 7+ years working with engineering teams

Nice to Have

5+ years project management disciplines, Managing projects across cross functional teams, Defining KPI's/SLA's, Reporting to senior leadership

What You'll Do.

Own AI-focused customer engagements

Apply Working Backwards methodology

Define solution requirements

Define success criteria

Facilitate AI solution design

Facilitate agentic architecture patterns

Coordinate adoption of AI tools

Partner with Sales teams

Identify Generative AI opportunities

Qualify Agentic AI opportunities

Support program-level strategy

Build relationships with executives

Maintain relationships with leadership

Establish engagement metrics

Track delivery velocity

Contribute to program KPIs

Improve team efficiency

Improve prototype delivery speed

Improve knowledge sharing

Develop mitigation strategies

Apply product thinking

How You'll Work.

Team & Collaboration

Prototyping Architects; Design Technologists; Regional Sales teams; Solutions Architecture teams; Customer executives; AWS leadership; Customer infrastructure team

Communication Scope

Structured communications; Clear reporting

Process & Methodology

Scope management, Schedule management, Budget management, Quality management, Risk management, Critical path management

Full Job Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Be the force multiplier that accelerates AI innovation for AWS's most forward-thinking customers. The AWS Prototyping and AI Customer Engineering (PACE) team builds working Generative AI and Agentic AI prototypes in days and weeks - not months - and we need Technical Program Managers 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 Architects 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, 10% International (mostly to the USA) 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 Architects and

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