Product Manager, Sportsbook Social

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Product Manager to help build the social layer of our sportsbook experience. This role sits within our Emerging Experiences pillar and is focused on creating the connections, communities, and shared moments that make sports betting more engaging — from social profiles and activity feeds to group experiences and social betting features.

We work in small, autonomous pods—each a focused team of engineers and AI agents oriented around a specific customer problem. You'll work across multiple pods, driving initiative-level execution and keeping delivery on track across priority streams. You'll operate within a broader social area led by a Lead PM who sets overall vision and strategy; your job is to translate that direction into well-scoped, well-executed quarterly outcomes. This is a role for someone who operates independently, is comfortable making good decisions with imperfect information, and is ready to grow into broader strategic ownership. If you've shipped social features in consumer apps, can move fast with AI tools, and want to work on a product with real network-effect potential, this role is for you. 

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

 

THE GAME PLAN
Everyone on our team has a part to play

• Lead multiple pods—small, focused teams of engineers and AI agents—each oriented around a specific social customer problem  

• Set clear direction for each pod: define the problem, own prioritization, and make the calls needed to keep teams moving  

• Work hands-on with engineers and designers daily—writing clear specs, removing blockers, and driving decisions without escalating unnecessarily  

• Identify user problems and opportunities within your area through research, data analysis, and competitive review  

• Define success criteria for each pod's work; track and report objectively on outcomes post-launch  

• Use A/B experimentation to validate hypotheses and drive continuous improvement across pods  

• Leverage AI tooling and agents effectively as part of how your pods operate— comfortable directing AI-assisted workflows alongside human engineers  

• Contribute to broader social area roadmap discussions with well-reasoned proposals grounded in user insight and commercial impact  

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