Product Manager, Search and AI

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

FanDuel is looking for a Product Manager to help build the search and AI-assisted bet-building experience at the heart of our sportsbook. This role sits within our Emerging Experiences pillar and spans two connected areas: core search—how millions of customers find markets, teams, players, and events—and AceAI, our AI-powered product that helps customers navigate betting decisions with intelligence and confidence. 

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 Advanced Search 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 search or AI-native features in consumer apps, can move fast, and want to work on a product that changes how fans interact with sports betting, 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 search or AI discovery 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 

• Advance the core search experience—query understanding, relevance, ranking, results presentation, and filtering—continuously improving how customers find what they're looking for 

• Drive the AceAI product forward, identifying where AI-assisted guidance creates the most value for customers and translating that into well-defined, shippable features 

• 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 

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