Sr. Product Analyst - AI Products
HighLevel (company site, opens in a new tab)6+ yrsRemoteDirect career pageEst. 20–35 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and run the recurring business review for HighLevel's AI product portfolio, including metric definition, performance reporting, and variance analysis against operating plans.
- Build and maintain SQL-based reports, dashboards, and data pipelines in Superset, ClickHouse, and Snowflake to track retention, adoption, unit economics, and product quality metrics.
- Collaborate closely with product leadership and managers to inform AI roadmap decisions, formulate data-driven insights, and verify accuracy of all reported figures.
Minimum Requirements
- At least six years of experience in product or business analytics working directly with product teams.
- Proficient in SQL including multi-CTE, window functions, cohort analysis, and querying semi-structured JSON in Snowflake; experience with cloud data warehouses like ClickHouse and Snowflake.
- Experience building and maintaining dashboards and datasets in Superset or Tableau; familiar with product analytics tools such as Pendo, Amplitude, or Mixpanel.
- Work Experience Required: Minimum 6 years in relevant analytics roles.
Ideal Candidate Profile
- Experienced in managing recurring metrics packs or business reviews relied upon by leadership and product teams, demonstrating ownership and data accuracy stewardship.
- Strong command of SaaS product analytics including metrics like MRR, ARR, churn, retention, ARPU plus statistical grounding to evaluate experiments and cohort analysis.
- Familiarity with AI or LLM product analytics, token consumption and cost metrics, or usage-based pricing models is a plus but not mandatory.