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Added 1 min ago
HP
Commercial, Data or IP Solicitor (5+ PQE)
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- Full-time
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MD
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TU
Associate Director, Facilities Planning
The University of British Columbia
Kelowna, BC
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Added 17 mins ago
UH
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UF
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Senior Product Manager
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The University of British Columbia
Vancouver, BC
- $7,158.42 to $10,292.25 CAD / month
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Qu'attendons-nous de notre Artiste Personnage Senior ?

Electronic Arts

Principal Product Manager, AI Platform

Vancouver, BC, Canada

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Job details

Education: Bachelor’s degree
Experience: Bachelor’s Degree AND 8+ years experience in product management/program management/ software development (of which at least 6+ years are required in product management).
Posting language: English
Posted: Oct 1, 2026

Original job description

General Information

Locations: Redwood City, California, United States of America

Location: Vancouver
State: British Columbia
Country: Canada

Role ID

214919

Worker Type

Regular Employee

Studio/Department

CT - Infrastructure & Platform

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

The Infrastructure and Platform Services (IPS) group, part of EA’s Central Tech organization, powers the platforms behind EA’s global game ecosystem. From Cloud to Commerce, Gameplay Services, Identity, Social and AI Platform, we provide reusable capabilities that let game teams focus on building world-class experiences. We’re behind the curtain, making it all work together. Come power the future of play with us.

Within IPS, the AI Platform team builds the foundational capabilities that power AI and machine learning across EA across Core AI, Generative AI and Agentic AI. We provide the underlying systems for data, compute, and features that enable teams to train and access models efficiently, deploy them reliably, and operate at scale. At a company level, we are responsible for developing AI platform foundations, governance and reusable enterprise AI capabilities - in particular, paved roads for agentic AI. Our mission is to make it simple, secure and cost-effective for product teams, data scientists, and researchers to use large-scale AI workflows and unlock new player and developer experiences.

As a Principal Product Manager for the AI Platform, you will report into a Product Director, leading innovation and influencing stakeholders across the company to develop and evangelize foundational enterprise AI capabilities. You will shape and implement platform capabilities that make it easier for product teams to onboard and operate AI tools, while ensuring governance through key control points such as identity, MCP registry, agent registries, a model gateway and observability.

Responsibilities:

Own the end-to-end developer and practitioner experience across AI Platform capabilities - translating deep understanding of practitioner workflows and pain points into usable, well-adopted paved roads from onboarding through production, including documentation and customer-language framing, and driving adoption across EA studios and teams.
Maintain a clear product vision and paved-road prioritization framework that balances diverse customer needs, governance requirements, and market offerings.
Represent the AI Platform owner’s perspective to influence IPS product teams to augment product capabilities where appropriate for an agentic future.
Collaborate with engineering teams to shape the technical architecture and design decisions, ensuring the creation of scalable platform capabilities and fundamentals.
Define governance policies and control points across AI Platform - including model access, identity, MCP registry, agent registries, and observability - to ensure enterprise AI capabilities are adopted securely and in compliance with EA's standards.
Set clear objectives and key results (OKRs) to align stakeholders across the organization, promoting unity towards shared goals.
Influence key decisions at the VP level and above, independently resolving cross-organizational conflicts and communicating the AI Platform strategic roadmap to executives and senior stakeholders.
Use metrics and user feedback to guide ongoing innovation and refinement of AI Platform offerings.
Build and maintain a shared view of the rapidly evolving enterprise AI landscape across engineering and product leadership - translating emerging patterns in agentic AI, model governance, and platform tooling into aligned product decisions and strategic positioning.

Qualifications:

Bachelor’s Degree AND 8+ years experience in product management/program management/ software development (of which at least 6+ years are required in product management).
2+ years of product management experience building and shipping AI/ML infrastructure or enterprise AI tooling, with demonstrated ability to translate complex platform capabilities into usable experiences for practitioners (e.g., model gateways, agent frameworks, compute orchestration, or LLM observability)
Experience defining product and functional specifications to create customer value and impact while understanding the technical aspects.
Experience integrating AI technologies to enhance product functionality and innovation
Demonstrated results delivering large-scale enterprise solutions/services, including roadmap development, product launches, and driving innovation.
Platform mindset, with an understanding of microservices architecture, REST and gRPC APIs, cloud technologies and developer platforms.
Experience leading geo-distributed teams, partners, and cross-team leadership teams.

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

British Columbia (depending on location e.g. Vancouver vs. Victoria) *$169,500 - $242,600 CAD

California (depending on location e.g. Los Angeles vs. San Francisco) *$193,100 - $296,500 USD

Pay is just one part of the overall compensation at EA.

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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More about this job

Responsibilities

The Principal Product Manager will lead the development and evangelization of foundational enterprise AI capabilities, including model gateways and agent frameworks. They are responsible for defining product vision, driving adoption across studios, and ensuring secure governance through key control points.

Requirements

Candidates must have a Bachelor's degree and at least 8 years of experience, with a minimum of 6 years in product management. Additionally, 2+ years of experience building and shipping AI/ML infrastructure or enterprise AI tooling is required.

Skills

Product management
AI platform
Machine learning
Generative AI
Agentic AI
Cloud technologies
Microservices architecture
REST APIs
gRPC APIs
Developer platforms
Model governance
Observability
Strategic roadmap
Stakeholder management
Technical architecture
Enterprise AI

Benefits

Paid time off
Sick time
Paid company holidays
Paid parental leave
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k)
Retirement plan
Mental well-being support
Complimentary games

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Machine Learning
Generative AI
Agentic AI
Infrastructure
Cloud
Microservices
REST
gRPC
Model Gateway
Observability
Governance
Product Management
Enterprise AI
Developer Experience
Compute Orchestration
LLM
Software Development
Platform Tooling
Strategic Roadmap
Stakeholder Influence
Data Science
Identity Management
MCP Registry
Agent Registry
Technical Architecture
Product Strategy
Innovation
Cross-functional Leadership
Metrics

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