JobgetherRemote · Switzerland
2h ago
AmazonPosted 1w ago
L3
Sr. Product Manager, AICE - AI Center of Excellence
Sr. Product Manager, AICE - AI Center of Excellence at Amazon scores 70 out of 100 on AI centrality, which makes it a Level 3 role on this board.
CA, BC, Vancouverseniorfull-timeCAD 128k-CAD 214k
AI in this role
Own the vision and lifecycle of shared AI building blocks and primitives across Amazon's AI Center of Excellence.
product-managementai-primitivesmachine-learningroadmap-prioritization
We are looking for a Product Manager - Technical who can own the vision and lifecycle of these primitives, drive them from concept through adoption, and make sound product and technical trade-offs in a fast-moving AI domain.
Key job responsibilities
- Own the product lifecycle for AI primitives end-to-end - from customer discovery and problem framing through vision definition, roadmap prioritization, execution with cross-team dependencies, launch, and post-launch performance optimization
- Define product strategy by understanding problems that cut across multiple teams and personas - translating that into clear principles, requirements, and roadmap priorities that sequence work on evidence
- Drive adoption by partnering with early adopters, generalizing requirements from multiple contexts, and ensuring primitives work for any team without requiring your team to operate them
- Evaluate technical proposals alongside scientists and ML engineers - understanding architecture trade-offs and balancing feature delivery with system health and long-term maintainability
- Make crisp product decisions in ambiguous AI/ML domains where the problem and strategy may not yet be defined - using data, customer insight, and judgment
- Define success criteria that measure the primitive you own, not the partner's business outcome you don't - distinguishing adoption from real impact
- Ensure primitives are findable, adoptable, and valuable - not just built and opened
- Contribute to the team's rhythm of business - planning cycles, business reviews, goal tracking, and operational reporting
A day in the life
Every day brings new challenges. You might work backward from a partner team's pain point to frame a new primitive, review a technical design with scientists to assess whether an architecture can scale, or analyze adoption data to decide what to double down on versus deprecate. Other days, you'll write a vision document for a new capability, find new opportunities across the enterprise, or sit with early adopters to understand how they'd consume a primitive in their pipeline. You'll move between technical discussions with scientists and engineers and alignment conversations with senior managers and directors.
No two weeks look the same. You'll move between customer discovery, technical strategy, and hands-on execution - always building toward primitives that are trusted, consumable, and impactful at scale.
About the team
AICE is a team of scientists and machine learning engineers building the AI primitives that power Amazon's intelligent systems. We develop and harden reusable capabilities for broad consumption by product teams across the enterprise - and partner with those teams to integrate them.
Basic qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred qualifications
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Master's degree in Computer Science, Electrical Engineering, or similar
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience defining product vision and strategy for platform or infrastructure capabilities consumed by other teams, not end-user features
- Experience driving adoption of new capabilities across skeptical or unfamiliar teams - building pull, not pushing
- Fluency in technical concepts (ML, knowledge systems, distributed architectures) sufficient to engage scientists and engineers as a peer
- Experience writing compelling vision documents that secure investment and alignment across senior leadership
- Experience working in AI/ML, applied science, or technically complex domains where the problem space is undefined and evolving
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 128,100.00 - 214,000.00 CAD annually
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Skills and AI tools this role asks for
Product ManagementAI PrimitivesMachine LearningRoadmap Prioritization
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where ai primitives was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where roadmap prioritization was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, AI Primitives, Machine Learning, and Roadmap Prioritization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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