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Role Overview:

  • HighLevel's AI portfolio spans conversational agents, voice agents, and copilots, sold as bundles and pay-per-use.
  • As Senior Product Analyst, you own the measurement of this portfolio, including business reviews, metric definitions, and performance reporting.
  • You will write SQL against ClickHouse and Snowflake, build reporting in Superset, and ensure data accuracy before decisions are made.

Key Responsibilities:

  • Run the recurring business review, building analysis and presenting results to product leadership.
  • Define and document metrics for each AI product, including activation, adoption, north star, and penetration.
  • Build and maintain Superset datasets, charts, and dashboards, and audit for hardcoded filters or stale definitions.

Analytics and Insights:

  • Analyze retention, cohort behavior, and adoption funnels at the sub-account level.
  • Build unit economics of AI usage, converting token consumption into model costs and reporting margins.
  • Reconcile discrepancies between data sources and specify instrumentation with PMs before feature launches.

Ideal Candidate:

  • At least six years in product or business analytics, with strong SQL including multi-CTEs, window functions, and semi-structured JSON.
  • Experience with cloud data warehouses (ClickHouse, Snowflake) and BI tools (Superset or Tableau).
  • Familiarity with product analytics tools like Pendo, Amplitude, or Mixpanel, and a solid grasp of SaaS metrics and experiment design.

HighLevel

HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs build, automate, and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization focused on speed, ownership, and innovation.

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