Staff Product Manager, Experimentation

FanDuel

• $129K — $161K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of product management or strategy experience, preferably in platform roles.
  • Experience building product roadmaps for experimentation platforms is strongly preferred.
  • Knowledge of experimentation best practices and strong quantitative skills.
  • Strong business acumen with experience in regulated environments like gaming or fintech.
  • Proven ability to collaborate across complex organizational structures and influence stakeholders.
  • Familiarity with applied machine learning and predictive models is a plus.
  • Experience in marketing technology or lifecycle marketing platforms is advantageous.

Responsibilities

  • Collaborate with the experimentation team to align on vision and business priorities.
  • Define and manage the experimentation product roadmap with clear requirements.
  • Lead the development of AI-enabled experiment workflows and reinforcement learning capabilities.
  • Establish experimentation guardrails to protect user experience and financial outcomes.
  • Write PRDs and manage incremental shipping of product features.
  • Communicate progress and resource needs to leadership, highlighting dependencies early.
  • Drive adoption of experimentation capabilities across the organization.

Benefits

  • Flexible work environment with hybrid options.
  • Opportunities for professional development and growth.
  • Collaborative team culture focused on innovation.
  • Access to cutting-edge technology and tools.
  • Engagement in high-impact projects that shape business strategy.
Full Job Description
THE POSITIONOur roster has an opening with your name on it

The Staff Product Manager, Experimentation will own the product strategy and roadmap for our experimentation capabilities, a high-impact role that will shape how our marketing functions learn and innovate. We're building experimentation as a core pillar of our marketing strategy, and you'll be responsible for ensuring our teams can run sophisticated, high-velocity tests that drive smarter decisions across the business. You'll partner closely with our MarTech, Data, and Analytics teams while leading from within the experimentation organization, translating vision into a detailed, actionable roadmap. Your focus will be establishing strong partnerships across Product, Engineering, Data Science, and the business teams, creating the infrastructure and processes that enable speed without sacrificing rigor. This role demands someone who excels at cross-functional collaboration and thrives as the bridge between technical and business teams.

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

Work closely with the experimentation team to understand vision, operational challenges, and the business priorities that will shape the product roadmap.

Define and own the experimentation product roadmap by translating business needs into clear requirements and technical specifications. Advance the generosity test and learn program 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, 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. 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 prioritization discussions (e.g., Campaign360, 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 organization, establishing a culture of data-driven testing and decision-making.

THE STATS
What we're looking for in our next teammate
  • 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.
  • Direct experience building product roadmaps for experimentation platforms strongly preferred. Hands-on experience with platforms that rely on robust data infrastructure, feature stores, measurement systems, and reporting frameworks is required. Examples include CDPs, marketing automation, and similar data-driven platforms.
  • Knowledge of experimentation best practices and strong quantitative fluency. You're comfortable defining metrics, interpreting statistical analysis, and pushing back on flawed experiment designs.
  • Strong business acumen with ability to craft business cases, prioritize tradeoffs, and communicate clearly with executive stakeholders in a regulated or high-stakes consumer environments (gaming, fintech, healthcare) where guardrails and compliance shape product design.
  • Demonstrated excellence at cross-functional collaboration-you thrive in complex organizational dynamics and can build trust and alignment across teams with competing priorities. You're able 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. Technical depth not required, but fluency in the fundamentals preferred
  • Experience in marketing technology, loyalty/rewards, promotions, or lifecycle marketing platforms is a plus.
  • A "can-do" attitude and bias toward action. You're comfortable getting into rooms, reaching out across teams, and doing whatever it takes to keep momentum.

#LI-Hybrid

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