Lead Product Analyst – AI Products

HighLevel

. Own instrumentation coverage for the AI pillar, defining events and properties for each AI surface and driving implementation with product managers and engineering .

Posted 9/26/2026full-timeRemote • IndiaSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own instrumentation coverage for the AI pillar, defining events and properties for each AI surface and driving implementation with product managers and engineering
Define feature-level KPIs and success metrics for Voice AI, Conversation AI, AI Employee, and Ask AI
Partner with the Experimentation & Causal Inference lead to design and interpret AI experiments
Distinguish real signal from instrumentation gaps, novelty effects, and data maturity
Set measurement direction and standards for the AI analytics domain
Establish canonical metrics and instrumentation contracts for other teams
Mentor analysts as the pod grows
Translate findings into recommendations for AI product managers and influence the roadmap
Flag data gaps to Analytics Engineering and help shape the event taxonomy
Use AI tooling such as Claude to accelerate exploration, documentation, and analysis

Requirements

What you’ll need

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, including defining event tracking/taxonomy and driving it into a product roadmap
Ability to define product success metrics from a standing start and gain stakeholder adoption
Fluency partnering on experiments, including A/B design, guardrails, and honest interpretation of results
Strong SQL and working proficiency in Python
Comfort in a Snowflake and dbt environment
Comfort working with imperfect, in-progress data and governed sources
Cross-functional influence in a fast-moving environment
Experience measuring AI/ML or LLM-based product features, including non-deterministic systems
B2B SaaS, CRM, or product-led growth background
Experience with conversational, voice, or agent/assistant products
Familiarity with Statsig or a comparable experimentation platform
Exposure to AI-assisted analytics workflows

Benefits

Comp & perks

Global, remote-first organization
Opportunity to build systems supporting millions of businesses worldwide
Mentorship and analyst development opportunities
Use of AI tooling such as Claude for exploration, documentation, and analysis