Principal PM: AI-Driven Experimentation & Analytics Platform

GEICO

San Francisco (CA)

Hybrid

USD 147,000 - 230,000

Full time

14 days+

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Job summary

GEICO seeks a Principal Product Manager to own our experimentation and digital analytics platforms. You will define strategy, drive cross-functional adoption, and empower teams to self-serve insights across product, design, engineering, marketing, and analytics.

You bring a strong quantitative background with 10+ years in product management, experience with experimental design, and a proven track record of accelerating decision-making.

Qualifications

  • Bachelor's degree in a quantitative field required.
  • 10+ years in product management with platform or data products.
  • Experience building or leading experimentation programs or platforms.
  • Strong analytical background with experimental design and inference.
  • Proven ability to drive adoption of self-service tools across teams.

Responsibilities

  • Own vision, strategy, and roadmap for experimentation and analytics platforms.
  • Drive adoption of tools across product, design, engineering, marketing, and analytics.
  • Enable self-service design, instrumentation, execution, analysis, and reporting.
  • Define governance for experimentation to ensure rigorous evidence-based decisions.
  • Define architecture and measurement pipelines for scalable experimentation.
  • Lead cross-functional teams from concept to launch and beyond.
  • Identify friction points through user research and prioritize improvements.

Skills

Experimentation platforms
Statistical inference
Agile methodologies
Leadership
Data analysis
Communication

Education

Bachelor's degree in a quantitative field

Tools

SQL
Python
R
JIRA
Azure DevOps

Job description

GEICO seeks a Principal Product Manager to own our experimentation and digital analytics platforms. You will define strategy, drive cross-functional adoption, and empower teams to self-serve insights across product, design, engineering, marketing, and analytics.

You bring a strong quantitative background with 10+ years in product management, experience with experimental design, and a proven track record of accelerating decision-making.

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