Product Analytics & Experimentation Lead - Remote

Ticketmaster

Washington (District of Columbia)

Remote

USD 120,000 - 150,000

Full time

7 days ago
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Benefits offered by this job

Health benefits
Free concert tickets
401(k) with company match
Paid time off and holidays
Tuition reimbursement and student loan
Caregiver leave
Fertility, adoption, foster, or surrog
Volunteer time off

Job summary

Ticketmaster is seeking a Manager, Product Analytics and Experimentation to lead a scalable experimentation program that informs product decisions and enhances fan experience. You will set standards, onboard teams, configure tests in Optimizely, analyze results, and translate findings into actionable product recommendations.

You will collaborate with Product, Design, Engineering, Research, and Analytics to embed experimentation across the product lifecycle and drive revenue growth through

Qualifications

  • Experience leading a product experimentation program from hypothesis to recommendations.
  • Hands-on experience with Optimizely or similar platforms (setup, QA, launch, monitoring).
  • Advanced statistical knowledge: hypothesis testing, power analysis, multiple comparisons, sequential testing.

Responsibilities

  • Lead and scale the product experimentation program with governance and standards.
  • Be the hands-on expert for experiment setup, audience targeting, QA, instrumentation validation, and monitoring.
  • Partner with cross-functional teams to design statistically sound A/B and multivariate tests.

Skills

Leadership
Experimentation program management
Communication
Stakeholder management
Time management
Curiosity & analytical thinking

Tools

Optimizely
Google Analytics
Contentsquare
Databricks
Google BigQuery
AI tools / LLMs

Job description

Ticketmaster is seeking a Manager, Product Analytics and Experimentation to lead a scalable experimentation program that informs product decisions and enhances fan experience. You will set standards, onboard teams, configure tests in Optimizely, analyze results, and translate findings into actionable product recommendations.

You will collaborate with Product, Design, Engineering, Research, and Analytics to embed experimentation across the product lifecycle and drive revenue growth through

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