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Senior Product Manager

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Analytical Thinking
  • Communication

Roles & Responsibilities

  • 5 plus years of Product Management experience with a strong focus on experimentation and data-driven product development.
  • Hands-on experience with enterprise experimentation platforms such as Adobe Target, Optimizely, StatSig, or equivalent.
  • Strong knowledge of experimentation methodologies including A/B Testing, Multivariate Testing, Holdout Testing, Sequential Testing.
  • Excellent analytical, communication, and stakeholder management skills.

Requirements:

  • Lead the strategy, execution, and optimization of enterprise experimentation capabilities.
  • Enable teams to make informed product decisions through scalable testing frameworks and advanced analytics.
  • Collaborate closely with Engineering, AI/ML, Analytics, and Product teams to drive measurable business outcomes.
  • Build or scale experimentation frameworks and governance models.

Job description

Position: Senior Product Manager – Experimentation Platform
Location: Remote (USA)
Employment Type: Contract

Job Summary
We are seeking an experienced Senior Product Manager with a strong background in experimentation platforms, product analytics, and data-driven decision-making. The ideal candidate will lead the strategy, execution, and optimization of enterprise experimentation capabilities, enabling teams to make informed product decisions through scalable testing frameworks and advanced analytics. This role requires close collaboration with Engineering, AI/ML, Analytics, and Product teams to drive measurable business outcomes.

Required Qualifications
  • 5+ years of Product Management experience with a strong focus on experimentation and data-driven product development.
  • Hands-on experience with enterprise experimentation platforms such as Adobe Target, Optimizely, StatSig, or equivalent.
  • Strong knowledge of experimentation methodologies, including:
    • A/B Testing
    • Multivariate Testing
    • Holdout Testing
    • Sequential Testing
  • Solid understanding of statistical significance, sample sizing, bias, variance analysis, and experiment interpretation.
  • Experience building or scaling experimentation frameworks and governance models.
  • Excellent analytical, communication, and stakeholder management skills.
  • Proven ability to collaborate with Engineering, AI/ML, Analytics, and Product organizations.
Must-Have Skills:
  • Product Management
  • Experimentation Platforms (Adobe Target, Optimizely, StatSig, etc.)
  • A/B Testing & Multivariate Testing
  • Statistical Analysis
  • Product Analytics
  • Data-Driven Decision Making
  • Cross-Functional Leadership
  • Experimentation Governance

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