Top Gaming Product Manager Jobs

As a Senior Associate Project Manager, you will oversee the execution of brand partnership campaigns, managing all phases from concept to delivery, while coordinating between creative, marketing, and product teams.

Lead product initiatives for Modo's portfolio, managing cross-functional teams and driving product strategy, execution, and optimization in social gaming.

Lead go-to-market strategy for interactive experiences at Crunchyroll, driving subscriber growth through creative campaigns and partnerships. Collaborate with teams to optimize performance and adapt strategies for local markets.

The Associate Principal Product Manager will drive the platform vision, manage the product roadmap, and ensure scalability and resilience of online gaming services, mentoring other product managers in a collaborative environment.

Lead product strategy and execution for 2K's central data science platform. Partner with studios and analytics teams to build ML models, feature pipelines, real-time analytics, and self-service tools. Prioritize use cases like retention modeling, personalization, dynamic content, and fraud detection while ensuring MLOps, governance, and production model performance.

The Senior Technical Product Manager will lead product vision for the ML team, collaborating with various teams to enhance user experiences through ML tools and data solutions, tracking KPIs and project lifecycles.

The Platform Product Manager will develop strategy and oversee the execution of a Conversation Intelligence Platform, focusing on APIs and integration experiences for developers and enterprises.

The Gaming Product Manager develops and executes product strategy for North America, managing gaming product development and marketing while ensuring compliance and enhancing player engagement.

As a Senior Product Manager at Twitch, you will oversee the notifications platform, improving user engagement through strategic enhancements, collaboration with teams, and data analysis.

The role involves managing AI infrastructure products, defining strategies, translating technical requirements, collaborating cross-functionally, and optimizing product performance.