Staff Product Manager, Experimentation

This role will lead the future of experimentation across WBD's streaming ecosystem. It involves defining the long-term strategy for experimentation, owning the roadmap for the experimentation platform, and partnering with leaders across product, engineering, and data science to unlock high-quality decision-making at scale. The role enables hundreds of product managers and engineers to experiment with minimal friction, interpret results with confidence, and optimise product experiences reaching tens of millions of viewers.

• Develop and articulate a multi-year strategy for experimentation, optimisation, and insights across WBD's streaming portfolio.
• Own the roadmap for the experimentation platform, prioritising foundational features such as experiment setup workflows, guardrail metrics, automated analytics, and multivariate testing.
• Drive platform enhancements that reduce friction, increase experiment reliability, and scale with product complexity.
• Expand experimentation coverage across new product surfaces, customer journeys, international markets, and emerging experience areas.
• Establish and evolve company-wide standards for A/B testing methodology, analysis, and communication, and define mechanisms such as review forums, playbooks, and quality gates to ensure experimentation rigour.
• Provide thought leadership and hands-on guidance when experiments yield ambiguous, contradictory, or hard-to-interpret results
• Partner with teams to design high-quality tests, ensure strong measurement practices, and support teams facing challenges in experiment execution, evaluation, or integration with platform services.
• Define how experimentation integrates with broader product, data, and platform roadmaps, and build tooling that empowers teams to run, interpret, and act on experiments independently.
• Partner with data science to improve automated analysis pipelines, metric consistency, and test validity.
• Influence senior leaders and partner teams across engineering, product, analytics, design, and marketing on using experimentation to prioritise initiatives and investment opportunities, and drive alignment on experimentation strategy, frameworks, and KPI definitions.
• Mentor PMs and engineers, raising the maturity of experimentation and product thinking across WBD.

• 8+ years of product management experience, with significant ownership of experimentation, optimisation, or data-driven decision-making platforms.
• Deep understanding of A/B testing methodologies, statistical analysis, metric design, and experimentation frameworks.
• Experience collaborating closely with analytics and data science teams to build or evolve automated analysis capabilities.
• Strong technical fluency, able to engage with engineering on assignment systems, data pipelines, algorithmic trade-offs, or platform architecture.
• Proven experience driving cross-functional programs, building org-wide mechanisms, and influencing at executive levels.
• Systems thinker who connects algorithmic performance, customer behaviour, and business outcomes.
• Exceptional written and verbal communicator with the ability to simplify complex concepts for diverse audiences.

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (preferred but not required).

• Actual salaries will vary based on job-related factors including geographic location, external market data, internal equity, skill set, experience, training, education, and/or performance.
• Base pay is one component of the total compensation package; other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards.

• Health insurance coverage
• Employee wellness program
• Life and disability insurance
• Retirement savings plan
• Paid holidays and sick time and vacation