Senior Product Manager

Lumiere Systems

$120K — $150K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of Product Management with a focus on experimentation and data analytics
  • Proficiency with enterprise-level experimentation tools like Adobe Target or Optimizely
  • In-depth knowledge of A/B Testing, Multivariate Testing, & statistical methodologies
  • Skilled in deep analysis of experiments to extract business insights
  • Experience in creating or enhancing frameworks for experimentation and governance
  • Strong teamwork capabilities across Engineering, AI/ML, and Analytics functions

Responsibilities

  • Drive the product strategy for experimentation initiatives
  • Lead cross-functional teams to execute robust testing frameworks
  • Analyze experimental data to guide product decisions
  • Develop and implement best practices for testing and experimentation
  • Collaborate with engineering on platform enhancements
  • Ensure alignment of experimentation goals with overall business objectives

Benefits

  • Comprehensive health, dental, and vision plans
  • 401(k) retirement plan with company match
  • Generous paid time off and flexible work arrangements
  • Professional development and continuing education support
  • Dynamic and inclusive work environment
Full Job Description
About the job Senior Product Manager

Key Skills & Experience Required:
  • 5+ years of Product Management, Experimentation/Testing, and data-driven product experience
  • Strong expertise in enterprise-scale experimentation platforms such as Adobe Target, Optimizely, StatSig, or similar
  • Deep understanding of advanced experimentation methodologies including:
    • A/B Testing ; Multivariate Testing; Multivariate Testing; Holdout Testing; Sequential Testing
    • Statistical significance, sample sizing, bias, variance analysis
  • Ability to perform deep experiment analysis and derive actionable business insights
  • Experience building or scaling experimentation frameworks, governance, and best practices
  • Strong collaboration with Engineering, AI/ML, Analytics, and Product teams

Preferred Background:
Candidates from leading technology companies such as Google, Apple, Amazon, Meta, Netflix, or large-scale retail/eCommerce organizations will be highly preferred.

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