Senior Product Manager – Testing

New
I
itD TechConsulting Software Development
Remote in US, PSTContractSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
Data AnalysisProduct ManagementA/B testing

Requirements

  • 5+ years of experience in Product Management, Experimentation, Testing, or data-driven product roles.
  • Hands-on experience with enterprise experimentation platforms such as Adobe Target or comparable testing solutions.
  • Proven experience operating within high-volume, enterprise-scale experimentation environments.
  • Deep understanding of experimentation methodologies including multivariate testing, holdout testing, and advanced experimental design.
  • Strong knowledge of statistical concepts including sample size determination, statistical significance, bias, variance, confidence intervals, and experiment validity.
  • Experience partnering with cross-functional teams including engineering, analytics, and data science organizations.
  • Demonstrated ability to perform detailed experiment analysis and translate findings into actionable product and business recommendations.
  • Bachelor’s degree in a relevant field or equivalent work experience.

Responsibilities

  • Lead experimentation strategy across web, desktop, iOS, and Android digital products.
  • Design, execute, and scale advanced experimentation programs, including multivariate testing, holdout testing, sequential testing, and other sophisticated methodologies.
  • Partner with engineering, analytics, and AI/ML teams to ensure statistically sound experiment design, implementation, measurement, and interpretation.
  • Analyze experiment outcomes in depth by identifying trends, diagnosing anomalies, validating assumptions, and uncovering actionable business insights.
  • Develop and implement scalable experimentation frameworks, governance models, and best practices across multiple teams.
  • Review and optimize experiment design, execution processes, and reporting standards to improve testing effectiveness and reliability.
  • Translate experimentation results into clear product recommendations and business decisions that drive measurable outcomes.
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