Sr. Product Analyst - AI Products

3 weeks, 4 days ago
Full-time
Senior
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Run recurring business reviews for the AI portfolio and present findings to product leadership.
  • Define and document consistent product metrics, including activation, adoption, penetration, and north star metrics.
  • Build, maintain, and audit Superset datasets, charts, and dashboards.
  • Write SQL queries in ClickHouse and Snowflake, including queries against semi-structured JSON data.
  • Report product performance against operating plans and explain variances.
  • Analyze retention, cohorts, adoption funnels, and account-level product drop-off.
  • Build AI usage unit economics, including model costs, cost-to-revenue ratios, and product margins.
  • Report AI product quality through evaluation results, containment rates, escalation rates, and sampling methods.
  • Reconcile conflicting data sources and determine the appropriate source for each analysis.
  • Partner with product managers on instrumentation, Pendo analysis, opportunity sizing, and roadmap experiments.

Requirements

  • At least 6 years of product or business analytics experience, including direct work with product teams.
  • Advanced SQL skills, including multi-CTE queries, window functions, cohort logic, and semi-structured JSON queries.
  • Ability to use Python or R for analyses beyond SQL capabilities.
  • Production experience with cloud data warehouses, ideally ClickHouse and Snowflake.
  • Experience building datasets and dashboards in Superset or Tableau.
  • Experience with product analytics tools such as Pendo, Amplitude, or Mixpanel, including event and tracking-plan definition.
  • Experience owning recurring metrics packs or business reviews.
  • Strong understanding of data grain, time periods, account versus sub-account measurement, and incomplete cohorts.
  • Knowledge of SaaS metrics including MRR, ARR, expansion, contraction, churn, retention, and ARPU.
  • Clear written communication and sufficient statistical knowledge to evaluate experiments and noisy results.
  • Experience analyzing AI or LLM products, token usage, model costs, and quality evaluation preferred.
  • Familiarity with usage-based or hybrid pricing, dbt, CRM or SMB SaaS products, or ChartMogul preferred.

Benefits

  • Remote-first work environment across a global team.
  • Well-funded and profitable company.
  • Fast-paced, lean product development environment.
  • Equal opportunity employer.

Interested in this position?

Apply directly on the company website

Apply Now

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