Senior Product Manager - Experimentation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager based in United States.

You will join a data-driven product organization focused on building and scaling experimentation systems that directly shape product decisions at enterprise scale. In this role, you will own the strategy and execution of experimentation frameworks that enable teams to validate ideas, optimize user experiences, and drive measurable business impact. You will work at the intersection of product, engineering, analytics, and AI/ML to design rigorous testing approaches and turn insights into action. The environment is highly analytical and fast-paced, where decisions are grounded in statistical evidence and large-scale experimentation. You will play a key role in defining how experimentation is structured, governed, and operationalized across the organization. This is a high-impact position where your work directly influences product direction and company growth.

Accountabilities

• Define and lead the experimentation strategy across product teams, ensuring scalable and statistically sound A/B, multivariate, holdout, and sequential testing practices.
• Build and evolve experimentation frameworks, governance models, and best practices used across enterprise-level product and engineering teams.
• Analyze experiment results using advanced statistical methods, including significance testing, sample sizing, and bias/variance evaluation, to generate actionable insights.
• Partner closely with Engineering, Data Science, AI/ML, and Analytics teams to design, implement, and optimize experimentation infrastructure.
• Translate experiment outcomes into clear product recommendations that drive user experience improvements and business growth.
• Ensure data integrity and methodological rigor across all experimentation initiatives to support reliable decision-making.
• Support the scaling of experimentation platforms such as Adobe Target, Optimizely, or similar enterprise tools.
  
  

Requirements

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• 5+ years of experience in Product Management with strong focus on experimentation, testing frameworks, and data-driven product development.
• Deep expertise in experimentation methodologies including A/B testing, multivariate testing, holdout testing, and sequential testing.
• Strong understanding of statistical concepts such as significance, sample sizing, bias, and variance analysis.
• Hands-on experience with enterprise experimentation platforms such as Adobe Target, Optimizely, or Statsig.
• Proven ability to derive actionable insights from complex experiment data and communicate findings to both technical and non-technical stakeholders.
• Experience building or scaling experimentation frameworks, governance models, and best practices in large organizations.
• Strong collaboration skills working across Product, Engineering, Analytics, and AI/ML teams.
• Bonus: experience in top-tier technology companies or large-scale consumer/eCommerce environments.
  
  

Benefits

• Competitive compensation based on experience (DOE)
• Fully remote role within the United States

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• High-impact position shaping experimentation strategy at scale
• Opportunity to work with advanced experimentation and AI-driven product systems
• Collaboration with world-class product, engineering, and data teams
• Fast-paced, data-driven environment focused on measurable impact
• Strong exposure to enterprise-grade experimentation platforms and methodologies
  
  

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.

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