ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world’s largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

THE STATS

What we’re looking for in our next teammate

• 10+ years in software engineering/AI, with at least 5+ years in senior leadership roles (Director+ or VP), ideally at high-growth or enterprise companies with transformational AI initiatives.
• Deep expertise in Generative AI systems architecture, with hands-on experience building and deploying LLM-based applications using modern stack components such as retrieval-augmentation generation, prompt orchestration engines, vector databases, LLMOps frameworks
• Experience with AWS-native AI services and accelerators, including Bedrock, , SageMaker JumpStart, and containerized deployment via ECS/EKS or Lambda for real-time inference.
• Demonstrated and proven track record scaling AI engineering teams globally, working cross‑functionally with product, research, operations, and customer success.
• Strong background in AI infrastructure: distributed systems, pipelines, APIs, security, and compliance.
• Demonstrated success in AI productivity transformation initiatives, embedding GenAI across developer workflows, enterprise processes
• Experience with AI‑assisted engineering environments and familiarity with GenAI platforms and tools such as Cursor, Windsurf, Amazon Q, Loveable.dev, or Claude Code.
• Strong understanding of AI safety, interpretability, and privacy tradeoffs
• Comfortable in ambiguity—and able to quickly convert ambiguity into concrete deliverables and metrics.
• Exceptional leadership and communication skills, with ability to represent engineering in executive‑level discussions.