Lead AI Product Analytics & Insights

Openkrill

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

HighLevel is seeking a Lead Product Analyst for AI Products to own the analytics for the AI pillar—Voice AI, Conversation AI, AI Employee, and Ask AI. You will establish instrumentation standards, define feature-level KPIs, and partner with PMs and engineering to embed measurable goals into the product roadmap.

You will guide adoption and quality analysis in a fast-moving, data-driven environment, mentor analysts as the pod scales, and ensure rigorous experimentation support with

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.

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

Skills

SQL
Python
Experiment design
Cross-functional influence
Analytics leadership

Tools

Snowflake
dbt
Statsig

Job description

HighLevel is seeking a Lead Product Analyst for AI Products to own the analytics for the AI pillar—Voice AI, Conversation AI, AI Employee, and Ask AI. You will establish instrumentation standards, define feature-level KPIs, and partner with PMs and engineering to embed measurable goals into the product roadmap.

You will guide adoption and quality analysis in a fast-moving, data-driven environment, mentor analysts as the pod scales, and ensure rigorous experimentation support with

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