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Sr. Product Analyst - AI Products

GoHighLevel· Product – Product Management
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RemoteEE Full-TimePosted 1mo ago

About the role

Senior Product Analyst responsible for measuring and informing the AI product portfolio. Own recurring business reviews, metric definitions, and analysis of retention, adoption and unit economics of AI usage. Hands-on role involving SQL, data visualization, and close collaboration with VP of Product and PMs to influence AI roadmap and quarterly/board reviews.

Responsibilities

  • Drive customer and market insight: act as product expert for feature areas, lead structured discovery, identify emerging customer needs and bring opportunities for product innovation to PMs.
  • Analyse and validate product performance: analyze activation, adoption, retention and funnels at sub-account level; run post-launch reads on new features; help shape experiments and read them with Lead Product Data Analyst; pair quantitative analysis with customer conversations.
  • Shape product direction: define requirements with PMs/Design including success metrics and instrumentation; synthesize findings into recommendations; contribute product commentary to AI reviews.
  • Build scalable practices: develop research practices and product documentation; facilitate discovery discussions; mentor junior analysts; flag data gaps and use AI tooling to speed analysis and documentation.

Qualifications

  • 5+ years in product analytics or similar role working with product teams.
  • Go-to product expert for a feature area with insights that influenced product decisions.
  • Experience leading customer interviews, competitive analysis and feature validation; ability to synthesize into recommendations.
  • Strong analytical judgment, hypothesis formation, segmentation thinking, and data quality checks.
  • Strong written communication; ability to translate complex analysis into actionable notes for busy stakeholders.
  • Credibility with Product, Engineering, Design and GTM; ability to influence without owning the roadmap.
  • Solid SQL and experience with product analytics tools (e.g., Pendo, Amplitude, Mixpanel); proficiency with Snowflake, Superset or similar BI environments.
  • Working knowledge of core SaaS metrics (activation, retention, churn).
  • Experience mentoring or coaching other analysts is a plus.

Skills

Required:SQLData visualizationProduct analytics toolsSnowflake / modern warehouseCommunication
Last updated Oct 21, 2026. Interested? Apply on the company site.

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