Interested in this AI Product Manager role at Electronic Arts?
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### 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 equity.
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 equity.
*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.
Salary Context
This $169K-$296K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $188K across 140 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Electronic Arts, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills in Demand for This Role
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $216,175 based on 270 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($233K) sits 8% above the category median. Disclosed range: $169K to $296K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Electronic Arts AI Hiring
Electronic Arts has 4 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Positions span Redwood City, CA, US, Austin, TX, US. Compensation range: $256K - $296K.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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