Lead Product Analyst - AI Products

About the Role:

We're hiring a Lead Product Analyst, AI Products to be the analytics owner and measurement lead for HighLevel's AI pillar -Voice AI, Conversation AI, AI Employee, and Ask AI. These products are shipping fast with limited analytics foundation underneath them; we would provide value by creating consistent instrumentation, agreed success metrics, and a rigorous read on adoption or quality. You'll build that from the ground up.

Your first job is to define the feature-level KPIs and success metrics each AI product is judged on. From there you'll own adoption and quality analysis and, partnering closely with the Experimentation & Causal Inference lead, bring rigor to measuring non-deterministic, fast-iterating AI features where a classic A/B read is hard. You'll work amid a data foundation still being built, consuming governed sources rather than rebuilding them, and raising the bar as you go. As the AI analytics lead, you set the measurement direction and standards for the domain and develop the analysts who join as it scales.

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