Lead Product Analyst – AI Products
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Job Description
Lead Product Analyst owning metrics, instrumentation, and experimentation for HighLevel’s AI products. Building analytics foundations for an AI-powered business operating system serving agencies, entrepreneurs, and SMBs.
Responsibilities:
- Own instrumentation coverage for the AI pillar by defining required events and properties 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, including approaches for non-deterministic systems
- Distinguish real signal from instrumentation gaps, novelty effects, and data maturity
- Set measurement direction, canonical metrics, instrumentation standards, and contracts for the AI analytics domain
- Mentor analysts as the team grows
- Translate findings into recommendations for AI product managers and influence the roadmap
- Flag data gaps to Analytics Engineering and help shape event taxonomy
- Use AI tooling such as Claude for exploration, documentation, and analysis
- Establish measurable instrumentation coverage, trusted feature-level KPIs, segmented adoption and quality analysis, rigorous experiment reads, and an analytics foundation for future analysts
Requirements:
- 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; experience defining event tracking/taxonomy and driving it into a product roadmap
- Ability to define success metrics for a product 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 amid imperfect, in-progress data and consuming 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:
- Global, remote-first organization
- Opportunity to work on AI products including Voice AI, Conversation AI, AI Employee, and Ask AI
- Mentorship and development opportunity through developing analysts as the team scales
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