Senior Product Manager
Listed on 2026-01-09
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IT/Tech
AI Engineer, Data Analyst, Data Science Manager
medical insurance, paid time off, 401(k)
United States, California, San Mateo
Jan 05, 2026
Why Play Station?Play Station isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The Play Station family of products and services including PlayStation5, PlayStation4, PlayStation
VR, Play Station Plus , acclaimed Play Station software titles from Play Station Studios, and more.
Play Station also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The Play Station brand falls under Sony Interactive Entertainment, a wholly‑owned subsidiary of Sony Group Corporation.
About the roleThe Person alization & Player Lifecycle product team is on a mission to help players find the right content at the right time by building smart, adaptive, and data‑driven experiences. As a Senior Product Manager for the Decision Engine
, you'll be at the heart of shaping the core system that powers intelligent, context‑aware decisions across all surfaces.
You will establish the product approach for our personalization decisioning engine, partnering closely with Data Science, Marketing, Engineering, and Commercial collaborators. You'll drive clarity on what makes for impactful, relevant experiences and evaluate whether to build, buy, or partner on the underlying technology stack. This is a critical role for setting the foundation of how Play Station engages and communicates millions of players globally.
Responsibilities- Develop the product vision and strategy for our personalization decisioning capability, with a focus on relevance, scalability, and speed to value.
- Lead the conceptualization, development, and delivery of innovative pricing and personalization features using machine learning and predictive modeling.
- Drive analysis to decide whether to develop, acquire, or collaborate on key system components, considering technical capabilities, team expertise, and time‑to‑impact.
- Partner with Data Science leads to develop and test new recommendation models and logic frameworks that balance player value and business outcomes.
- Collaborate with Marketing and Commercial partners to align on outcomes, target metrics, and key use cases.
- Translate business needs into actionable requirements, experimentation plans, and product briefs.
- Lead cross‑functional planning cycles and contribute to broader personalization and lifecycle strategy.
- Champion a test‑and‑learn approach - drive rapid experimentation, measure outcomes, and continuously refine.
- Maintain a solid understanding of market trends in personalization, recommender systems, and customer lifecycle engagement.
- 5+ years of product management experience, ideally in a consumer‑facing digital environment.
- Consistent record working on personalization, content discovery, recommender systems, or next‑best‑action platforms.
- Experience partnering with Data Science and Engineering teams to deliver machine learning capabilities.
- Excellent communication skills - you can synthesize context, present trade‑offs, and drive decisions across diverse stakeholder groups.
- Strong product intuition paired with a comfort navigating technical discussions and experimentation methodologies.
- Prior experience in gaming, streaming, e‑commerce, or similar high‑scale B2C platforms is a plus.
- Familiarity with build/buy/partner frameworks and platform‑level architecture evaluations.
- Comfort leading roadmap discussions and influencing at both strategic and executional levels.
- Experience operating in global or multi‑market product environments.
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- 25 days holiday per year
- On Site Gym
- Subsidised Cafe
- Free soft drinks
- Access to cycle garage and showers
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