SENIOR PRODUCT MANAGER – EXPERIMENTATION & OPTIMIZATION

Accountabilities: • Define, lead, and continuously refine the enterprise experimentation strategy across digital products and platforms. • Build and manage experimentation roadmaps aligned with product, customer, and business objectives. • Design, execute, and analyze experiments (A/B, multivariate, holdout, sequential testing) to validate hypotheses and improve user experience. • Establish scalable experimentation frameworks, governance models, and best practices across multiple product teams. • Perform deep analysis of experiment outcomes, translating data insights into actionable product recommendations. • Partner with Engineering, Data Science, AI/ML, UX, Analytics, and Product teams to design, implement, and evaluate experiments. • Ensure statistical rigor in experimentation design, including significance testing, sample sizing, and bias evaluation. • Communicate experiment results and insights to stakeholders, influencing product strategy and prioritization decisions. • Drive a culture of experimentation, continuous learning, and data-driven decision-making across the organization. Requirements: • Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or a related field (Master’s preferred). • 5+ years of Product Management experience with a strong focus on experimentation, optimization, and data-driven product development. • Hands-on experience with experimentation platforms such as Optimizely, Adobe Target, Statsig, or equivalent tools. • Strong understanding of experimentation methodologies, including A/B testing, multivariate testing, holdout testing, and sequential testing. • Solid grasp of statistical principles such as significance testing, sample size estimation, and bias/variance trade-offs. • Proven ability to analyze complex datasets and translate findings into clear, strategic product decisions. • Experience building and scaling experimentation programs, frameworks, and governance processes in large organizations. • Strong communication, storytelling, and stakeholder management skills across technical and non-technical audiences. • Experience working in Agile product environments with cross-functional teams. • Preferred experience in large-scale digital platforms, eCommerce, SaaS, or high-growth technology organizations. Benefits: • Competitive compensation package aligned with experience and market standards. • Fully remote work flexibility within the United States. • Opportunity to lead experimentation strategy at enterprise scale. • Exposure to advanced analytics, AI/ML, and modern product experimentation ecosystems. • Collaborative, cross-functional environment with high-impact product teams. • Strong focus on professional growth, innovation, and continuous learning. • Opportunity to shape data-driven product culture and decision-making frameworks. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1