Senior AI Platform Product Manager - Remote

PDMA; Redwood City (CA); Remote; USD 166.000 - 217.000; Vollzeit

Benefits dieser Stelle

PTO

Medical/dental/vision insurance

401(k)

Bonus potential

Equity

Zusammenfassung

Electronic Arts Inc. in Redwood City, CA seeks a Senior Product Manager to define strategies and roadmaps for an AI platform product area within Infrastructure and Platform Services.

You will own feature prioritization using user research, data, and engineering input, ensuring KPIs for scalability, reliability, performance, and cost efficiency. The role involves coordinating large parallel initiatives across multimodal data infra, feature engineering systems, and ML lifecycle platforms, with

Qualifikationen

• Master’s degree (or foreign equivalent) in Technology Management, Information Systems, or related field with 3 years of product management/ platform leadership experience.
• Alternative: Bachelor’s degree with 5 years of related experience in technical product management or platform leadership.

Aufgaben

• Define strategies and roadmaps for a designated AI platform product area.
• Own prioritization of features and milestones across multiple teams.

Kenntnisse

Technical product management

Platform product leadership

Cross-team collaboration

Data-informed decision making

Roadmap prioritization

Distributed systems awareness

Stakeholder communication

Ausbildung

Master's degree in Technology Management, Information Systems, or related field

Bachelor's degree in Technology Management, Information Systems, or related field

Tools

Cloud platforms (AWS/GCP/Azure)

Jobbeschreibung

Electronic Arts Inc. in Redwood City, CA seeks a Senior Product Manager to define strategies and roadmaps for an AI platform product area within Infrastructure and Platform Services.

You will own feature prioritization using user research, data, and engineering input, ensuring KPIs for scalability, reliability, performance, and cost efficiency. The role involves coordinating large parallel initiatives across multimodal data infra, feature engineering systems, and ML lifecycle platforms, with