About the position
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).
Responsibilities
- Collaborate with teams across the business to understand how core data infrastructure supports analytical, ML, and operational use cases
- Take ownership of data products focused on foundational data engineering tools and platforms — with Databricks at the heart of the platform
- Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline execution of key platform improvements
- Partner closely with Data Engineering and Platform teams to drive stability, scale, and usability across core tooling
- Execute the product strategy and roadmap for Databricks and Airflow (Astronomer), ensuring our platform remains efficient, well-governed, and developer-friendly
- Influence adoption of best practices across orchestration (Airflow), compute and processing (Databricks), and job development (Python, SQL, dbt)
- Support integration and rollout of observability and governance tooling including Monte Carlo, Satori, Hightouch, and Kafka
- Create and maintain documentation, including platform usage guidelines, onboarding materials, and operational support documentation
- Act as a bridge between engineering and internal users to shape a platform that balances enterprise controls with a seamless developer experience
- Share best practices within the Product community and foster a culture of technical curiosity, innovation, and continuous improvement
Requirements
- 3-6 years of experience as a Product Manager, Product Owner, or Technical Product Manager working in data infrastructure, data engineering, or platform product roles
- Proven experience (2+ years) managing products or platforms built on Databricks, Airflow (preferably via Astronomer), or similar orchestration and compute tools
- Familiarity with Python and SQL, particularly in the context of data engineering workflows and developer productivity
- Exceptional analytical and communication skills, with experience translating technical needs into actionable product decisions
- Experience facilitating stakeholder workshops and aligning cross-functional teams around a common platform vision
Nice-to-haves
- Bonus points for experience with dbt, Monte Carlo, Hightouch, Satori, or Confluent/Kafka
- A self-starter who thrives in fast-paced environments and can bring clarity to ambiguity
Benefits
- Array of health plans to choose from (some as low as $0 per paycheck)
- Programs for fertility and family planning
- Mental health support
- Fitness benefits
- Generous paid time off (PTO & sick leave)
- Annual bonus and long-term incentive opportunities (based on performance)
- 401k with up to a 5% match
- Commuter benefits
- Pet insurance
- Paid personal time off and 14 paid company holidays
- Paid sick time in accordance with all applicable state and federal laws
