Staff Product Manager, Experimentation

This role owns the product strategy and roadmap for the organisation's experimentation capabilities, a high-impact position that shapes how marketing functions learn and innovate. Sitting within the experimentation organisation, it partners closely with MarTech, Data and Analytics teams and works across Product, Engineering, Data Science and the business. The focus is on establishing strong cross-functional partnerships and the infrastructure and processes that enable sophisticated, high-velocity testing without sacrificing rigour, acting as the bridge between technical and business teams.

• Work closely with the experimentation team to understand its vision, operational challenges and the business priorities that shape the product roadmap.
• Define and own the experimentation product roadmap by translating business needs into clear requirements and technical specifications, and advance the generosity test-and-learn programme by leading development of reinforcement learning capabilities and AI-enabled experiment workflows.
• Partner with data science and engineering teams to define data requirements and ensure the right data infrastructure and methodologies are in place to enable rapid, contextual feedback loops and model development.
• Define and enforce experimentation guardrails — frequency caps, exposure limits and statistical validity thresholds — that protect player experience and P&L while enabling fast iteration.
• Write clear PRDs, run structured discovery and ship incrementally, balancing platform investment against near-term marketing needs.
• Align cross-functional stakeholders on priorities, feasibility and resource allocation, and communicate progress, roadmap updates and resource needs to leadership on a regular basis, flagging dependencies and constraints early to ensure successful delivery.
• Work closely with MarTech product teams to ensure experimentation is a native, low-friction capability with a dedicated roadmap for business outcomes.
• Represent generosity experimentation in platform-wide architecture and prioritisation discussions (for example Campaign360 and capability overlap decisions), ensuring the experimentation layer scales as new promo types and channels are added.
• Outline opportunities to integrate existing experimentation capabilities and future evolution into the broader MarTech and data platform stack, reducing friction and improving speed.
• Drive adoption and usage of current and developing experimentation capabilities across the organisation, establishing a culture of data-driven testing and decision-making.

• Minimum of 5-7 years of product management or product strategy experience, ideally in a platform or infrastructure role.
• Proven track record of shipping complex, cross-functional products and driving measurable business outcomes.
• Hands-on experience with platforms that rely on robust data infrastructure, feature stores, measurement systems and reporting frameworks, such as CDPs, marketing automation and similar data-driven platforms.
• Knowledge of experimentation best practices and strong quantitative fluency, including comfort defining metrics, interpreting statistical analysis and pushing back on flawed experiment designs.
• Strong business acumen with the ability to craft business cases, prioritise trade-offs and communicate clearly with executive stakeholders in regulated or high-stakes consumer environments (gaming, fintech, healthcare) where guardrails and compliance shape product design.
• Demonstrated excellence at cross-functional collaboration, thriving in complex organisational dynamics and building trust and alignment across teams with competing priorities.
• Ability to influence without authority across senior leadership and cross-functional partners.
• Ability to work with data science on applied ML and predictive models in production.
• A "can-do" attitude and bias toward action, comfortable getting into rooms, reaching out across teams and doing whatever it takes to keep momentum.

• Direct experience building product roadmaps for experimentation platforms.
• Fluency in the fundamentals of applied ML and predictive models (technical depth not required).
• Experience in marketing technology, loyalty/rewards, promotions or lifecycle marketing platforms.

• Hybrid working arrangement.

• An array of health plans to choose from, some as low as $0 per paycheck, including programmes for fertility and family planning, mental health support and fitness benefits.
• Generous paid time off (PTO and sick leave).
• Annual bonus and long-term incentive opportunities based on performance.
• 401k with up to a 5% match.
• Commuter benefits.
• Pet insurance.
• Medical, vision and dental insurance.
• Life insurance and disability insurance.
• Eligibility for short-term or long-term incentive compensation, including cash bonuses and stock programme participation.
• Paid personal time off and 14 paid company holidays.
• Paid sick time in accordance with all applicable state and federal laws.
• Benefits differ across location, role and level.

FanDuel Group is the premier mobile gaming company in the United States and Canada, with a portfolio of leading brands including America's #1 Sportsbook FanDuel Sportsbook, its iGaming platform FanDuel Casino, FanDuel Racing and its daily fantasy sports product. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator, traded on the New York Stock Exchange (NYSE: FLUT).