About us
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our people
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact.
We’re proud to be a part of that.Learn more about us on our YouTube Channel or Blog Posts
Role Overview
HighLevel's AI portfolio spans more than a dozen products, from conversational and voice agents that handle customer interactions on a business's behalf to copilots that help operators run the business itself. These products are sold both as a bundled subscription and on a pay-per-use basis, across a base of more than a million sub-accounts.
As Senior Product Analyst for AI Products, you will own the measurement of that portfolio. You will run the recurring business review, maintain the metric definitions for each product, report performance against the operating plan, and analyse retention, adoption and the unit economics of AI usage. Your work will inform the AI roadmap and will feed into quarterly and board-level reviews.
The role is hands-on. You will write SQL against ClickHouse and Snowflake, build the reporting layer in Superset, and take responsibility for whether a figure is correct before anyone acts on it. You will work directly with the VP of Product and with the product managers who own each AI product, and we will expect you to form a view on what the data means and to defend it.
Key Responsibilities
Run the recurring business review for the AI portfolio, from building the underlying analysis through to presenting the results to product leadership.
Define and document the metrics for each AI product, including activation, adoption, the north star metric and penetration, and keep those definitions consistent across every report.
Build and maintain the Superset datasets, charts and dashboards the AI team depends on, and audit the existing reporting for hardcoded filters, stale queries and definitions that have drifted.
Write SQL against ClickHouse and Snowflake, including against semi-structured JSON columns, to answer the questions our dashboards cannot.
Report each product's performance against the annual operating plan and subsequent re-forecasts, and explain the variances in terms of what happened in the product.
Analyse retention, cohort behaviour and adoption funnels at the sub-account level, and establish where and why accounts stop using a product.
Build the unit economics of AI usage, converting token consumption into cost by model and reporting cost-to-revenue ratio and margin by product.
Report on AI product quality, covering version-over-version evaluation results, containment
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