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Lead Product Data Analyst - AI Products

GoHighLevel· Engineering – Data Platform
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RemoteEmployee IndiaPosted 3w ago

About the role

Lead Product Analyst responsible for analytics, measurement, and instrumentation for HighLevel's AI pillar (Voice AI, Conversation AI, AI Employee, and Ask AI). Define feature-level KPIs, own adoption/quality analysis, mentor analysts, and collaborate with Experimentation & Causal Inference to measure non-deterministic AI features.

Responsibilities

  • Own instrumentation coverage for the AI pillar -define the events and properties each AI surface must emit, and drive them into the roadmap with PMs and engineering
  • Define feature-level KPIs and success metrics for Voice AI, Conversation AI, AI Employee, and Ask AI -what "working" and "adopted" mean, made explicit and trusted
  • Partner with the Experimentation & Causal Inference lead to design and read AI experiments, including measurement approaches for non-deterministic, fast-iterating systems
  • Separate real signal from instrumentation gaps, novelty effects, and data maturity in every read
  • Set the measurement direction and standards for the AI analytics domain -the canonical metrics and instrumentation contracts other teams build on -and mentor analysts as the pod grows
  • Translate findings into clear recommendations for AI PMs and influence the roadmap without owning it
  • Flag data gaps to Analytics Engineering and help shape the event taxonomy AI analytics depends on
  • Use AI tooling (Claude and similar) to move faster on exploration, documentation, and analysis

Qualifications

  • 7+ years in product analytics, data science, or applied statistics, with hands-on ownership of a product area's metrics end to end
  • Strong instrumentation instinct -you've defined event tracking/taxonomy and driven it into a product roadmap, not just consumed existing tables
  • Ability to define success metrics for a product from a standing start and get stakeholders to adopt them
  • Fluency partnering on experiments (A/B design, guardrails) and interpreting results honestly
  • Strong SQL and working proficiency in Python; comfort in a Snowflake + dbt environment
  • Comfort working amid imperfect, in-progress data -you consume governed sources and help raise the bar rather than rebuilding pipelines
  • Cross-functional influence -you shift PM priorities without direct authority in a fast-moving environment

Skills

Required:Instrumentation design and event taxonomyKPIs and success metrics definitionExperimentation and causal inference collaborationSQLPythonSnowflake + dbtData governance and governance sources

Benefits

  • Not specified in provided description
Last updated Oct 21, 2026. Interested? Apply on the company site.

About GoHighLevel

It's time to take your Agency to the Next Level

HighLevel is the all-in-one sales & marketing platform that agencies can white-label and resell to their clients!

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