Lead AI Product Analytics

HighLevel; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Job summary

HighLevel is seeking a Lead Product Analyst for AI Products to own analytics for Voice AI, Conversation AI, AI Employee, and Ask AI. You will establish instrumentation, define KPIs, and partner on experiments to measure non-deterministic AI features.

You’ll mentor analysts as the analytics pod grows and shape standards across the AI pillar. You will work in a remote-first environment, collaborating with PMs, engineers and data scientists to drive adoption, guide roadmaps, and raise the bar on

Qualifications

• 7+ years in product analytics, data science, or applied statistics, with hands‑on ownership of a product area's metrics end to end
• Strong instrumentation instinct -you've defined event tracking/taxonomy and driven it into a product roadmap, not just consumed existing tables
• Ability to define success metrics for a product from a standing start and get stakeholders to adopt them
• Fluency partnering on experiments (A/B design, guardrails) and interpreting results honestly
• Strong SQL and working proficiency in Python; comfort in a Snowflake + dbt environment
• Comfort working amid imperfect, in‑progress data -you consume governed sources and help raise the bar rather than rebuilding pipelines
• Cross‑functional influence -you shift PM priorities without direct authority in a fast‑moving environment

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
• 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

Skills

Instrumentation

Metrics ownership

Experimentation

Data storytelling

Cross-functional influence

Tools

SQL

Python

Snowflake

dbt

Job description

HighLevel is seeking a Lead Product Analyst for AI Products to own analytics for Voice AI, Conversation AI, AI Employee, and Ask AI. You will establish instrumentation, define KPIs, and partner on experiments to measure non-deterministic AI features.

You’ll mentor analysts as the analytics pod grows and shape standards across the AI pillar. You will work in a remote-first environment, collaborating with PMs, engineers and data scientists to drive adoption, guide roadmaps, and raise the bar on