Senior Product Analyst – AI Products

This is a fully remote position, open to applicants in India.

📋 Description

• Take ownership of measuring HighLevel’s AI product portfolio.

• Conduct regular business reviews, encompassing analysis and presentation to the product leadership team.

• Define and document key metrics such as activation, adoption, north star, and penetration.

• Create and maintain datasets, charts, and dashboards in Superset.

• Review reports for hardcoded filters, outdated queries, and inconsistent definitions.

• Write SQL queries against ClickHouse and Snowflake, including handling semi-structured JSON columns.

• Report on product performance in relation to the annual operating plan and subsequent re-forecasts.

• Clarify performance variances stemming from product developments.

• Analyze retention, cohort behavior, and adoption funnels at the sub-account level.

• Develop AI usage unit economics, covering model costs, cost-to-revenue ratios, and margins.

• Report on AI product quality, evaluation results, containment, escalation rates, and sampling design.

• Reconcile discrepancies across various data sources.

• Collaborate with product managers to specify instrumentation prior to feature launches.

• Analyze in-product behavior using Pendo.

• Assess roadmap opportunities and experimental initiatives.

• Work closely with the VP of Product and AI product managers.

⛳️ Requirements

• Minimum of six years of experience in product or business analytics, with direct collaboration with product teams.

• Proficient in SQL, including multi-CTE queries, window functions, cohort logic, and semi-structured JSON queries in Snowflake.

• Capability to utilize Python or R for analysis in addition to SQL.

• Experience in a cloud data warehouse environment, preferably with ClickHouse and Snowflake.

• Ability to create in Superset or Tableau, including designing datasets and dashboards.

• Familiarity with product analytics tools such as Pendo, Amplitude, or Mixpanel, particularly in defining events and tracking plans.

• Experience managing a recurring metrics package or business review.

• Strong attention to data granularity and time periods.

• Solid understanding of SaaS metrics, including MRR, ARR, expansion, contraction, churn, retention, and ARPU.

• Statistical knowledge to properly size and interpret experiments.

• Excellent written communication skills in English.

• Bonus: experience in analyzing AI or LLM products, token consumption, model costs, and quality evaluation.

• Bonus: familiarity with usage-based or hybrid pricing models.

• Bonus: experience with dbt or a similar transformation layer.

• Bonus: background in CRM, agency, or SMB SaaS products.

• Bonus: experience with subscription analytics tools such as ChartMogul.

🏝️ Benefits

• Global, remote-first organization.

• Well-funded and profitable company.

• Lean principles enabling products to reach the market in weeks instead of quarters.

• Culture of continuous and iterative improvement.

• Focus on team well-being.

• Passionate and dynamic work environment.