Lead Product Analyst – AI Products

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of instrumentation coverage for the AI sector by establishing necessary events and properties and facilitating implementation alongside product managers and engineering teams.

• Establish feature-level KPIs and success metrics for Voice AI, Conversation AI, AI Employee, and Ask AI.

• Collaborate with the Experimentation & Causal Inference lead to design and analyze AI experiments, including methodologies for non-deterministic systems.

• Differentiate genuine signals from instrumentation deficiencies, novelty effects, and data maturity issues.

• Determine measurement strategy, canonical metrics, instrumentation standards, and agreements within the AI analytics domain.

• Provide mentorship to analysts as the team expands.

• Convert insights into actionable recommendations for AI product managers and influence the product roadmap.

• Identify data gaps for Analytics Engineering and assist in shaping event taxonomy.

• Utilize AI tools like Claude for exploration, documentation, and analysis purposes.

• Create measurable instrumentation coverage, reliable feature-level KPIs, segmented adoption and quality assessments, thorough experiment evaluations, and establish an analytics foundation for future analysts.

⛳️ Requirements

• Over 7 years of experience in product analytics, data science, or applied statistics, with hands-on responsibility for metrics within a product area from start to finish.

• Strong instinct for instrumentation; experience in defining event tracking/taxonomy and integrating it into a product roadmap.

• Capability to establish success metrics for a product from the ground up and achieve stakeholder buy-in.

• Proficient in collaborating on experiments, including A/B design, setting guardrails, and interpreting results honestly.

• Proficient in SQL and have working knowledge of Python.

• Comfortable working in a Snowflake and dbt environment.

• Ability to work with imperfect, evolving data while utilizing governed sources.

• Cross-functional influence in a dynamic environment.

• Experience in measuring AI/ML or LLM-based product features, particularly in non-deterministic systems.

• Background in B2B SaaS, CRM, or product-led growth.

• Experience with conversational, voice, or agent/assistant products.

• Familiarity with Statsig or a similar experimentation platform.

• Exposure to AI-assisted analytics workflows.

🏝️ Benefits

• Global, remote-first organization.

• Opportunity to work on AI products such as Voice AI, Conversation AI, AI Employee, and Ask AI.

• Mentorship and development opportunities through the growth of analysts as the team expands.