Experimentation Product Owner

About the Role

Key Responsibilities

• Define and own the vision and roadmap for marketing's experimentation framework.
• Drive adoption of a "test-and-learn" culture across marketing.
• Ensure experimentation is designed to support MMM calibration and broader marketing effectiveness goals.
• Manage a centralized Channel Optimization Testing agenda, establishing governance standards for rigorous, unbiased tests aligned with marketing and business objectives.
• Define best practices for randomization, control groups, and sample sizing to ensure reliable outcomes.
• Create guidelines for reconciling outputs of different methodologies and enable/educate the organization.
• Identify campaigns, channels, and audiences suitable for controlled experiments in partnership with sister teams.
• Partner with teams to define success metrics and ensure experiments are measurable and aligned with KPIs.
• Provide frameworks, playbooks, and training to empower marketers to run high-quality experiments independently.
• Manage a centralized Incrementality Testing agenda to support MMM Calibration.
• Partner with the MMM Product Owner to translate experimental findings into inputs for MMM calibration.
• Catalogue all marketing testing activities and share key learnings to inform future experiments.

Requirements

• Bachelor's degree in a related field, or equivalent work experience.
• Six to eight years of statistical and/or data analytics experience.
• Strong grasp of A/B testing, geo-testing, incrementality, and MMM calibration concepts.
• Demonstrated ability to influence and partner with marketing and analytics leaders.
• Skilled at translating experimental outcomes into clear insights for stakeholders.
• Curious, evidence-driven mindset committed to embedding experimentation into decision-making.
• Familiarity with SQL and data visualization tools such as Power BI.
• Experience running experiments across digital and offline media channels.
• Exposure to advanced measurement approaches like MMM, MTA, causal inference, uplift modeling.

Nice to Have

• 5+ years in product management, experimentation, marketing analytics, or related field.
• Background in marketing measurement (MMM, attribution, incrementality testing).

Qualifications

• Bachelor's degree or equivalent work experience.
• Six to eight years of experience in statistical/data analytics.

Benefits & Perks

• Healthcare (medical, dental, vision).
• Basic term and optional term life insurance.
• Short-term and long-term disability.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation (from two to five weeks depending on salary grade and tenure).
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per year.