Lead Product Analyst – AI Products

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

📋 Description

• Take ownership of instrumentation coverage for the AI sector, defining events and properties for each AI interface while collaborating with product managers and engineering teams for implementation.

• 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-related experiments.

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

• Set measurement guidelines and standards for the AI analytics domain.

• Create standardized metrics and instrumentation agreements for other teams.

• Provide mentorship to analysts as the team expands.

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

• Identify data deficiencies and collaborate with Analytics Engineering to refine the event taxonomy.

• Utilize AI tools like Claude to enhance exploration, documentation, and analysis.

⛳️ Requirements

• Over 7 years of experience in product analytics, data science, or applied statistics, with direct ownership of metrics within a product area from beginning to end.

• Strong instinct for instrumentation, including the definition of event tracking/taxonomy and integrating it into the product roadmap.

• Capability to define product success metrics from scratch and secure stakeholder buy-in.

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

• Strong SQL skills and working knowledge of Python.

• Comfortable operating within a Snowflake and dbt environment.

• Ability to work with imperfect, evolving data as well as governed sources.

• Cross-functional influence in a dynamic, fast-paced setting.

• Experience in measuring AI/ML or LLM-based product features, including 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 develop systems that support millions of businesses globally.

• Mentorship and professional development for analysts.

• Access to AI tools like Claude for exploration, documentation, and analysis.