Bachelor's degree in Business, Computer Science, Engineering, Data Science, or a related field (Master's degree preferred)
5+ years of experience in Product Management with a strong focus on experimentation, optimization, and data-driven product development
Hands-on experience with enterprise experimentation platforms such as Adobe Target, Optimizely, Statsig, or similar solutions
Strong understanding of experimentation methodologies, including A/B Testing, Multivariate Testing, Holdout Testing, and Sequential Testing
Requirements:
Define and execute the product experimentation strategy across digital products and platforms
Design, prioritize, and manage experimentation roadmaps aligned with business objectives
Lead the planning, execution, and analysis of experiments to validate product hypotheses and optimize user experiences
Establish and scale experimentation frameworks, governance models, and best practices across product teams
Job description
Job Title: Senior Product Manager – Experimentation & Optimization (Remote, USA) Job Summary We are seeking an experienced Senior Product Manager with a strong background in experimentation, data-driven product development, and optimization at enterprise scale. The ideal candidate will lead experimentation strategy, establish best practices, and partner with cross-functional teams to drive measurable business outcomes through rigorous testing and analysis. This role requires deep expertise in modern experimentation platforms, statistical methodologies, and product analytics, along with the ability to translate complex experimental results into actionable product decisions. Key Responsibilities
Define and execute the product experimentation strategy across digital products and platforms.
Design, prioritize, and manage experimentation roadmaps aligned with business objectives.
Lead the planning, execution, and analysis of experiments to validate product hypotheses and optimize user experiences.
Establish and scale experimentation frameworks, governance models, and best practices across product teams.
Perform in-depth analysis of experiment results, identify key insights, and provide data-driven recommendations.
Collaborate closely with Engineering, Data Science, AI/ML, Analytics, UX, and Product teams to implement and evaluate experiments.