Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you're in the room.
Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
Experimentation at portfolio scale. Own experiment strategy across your product areas — design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output — validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
Connecting dots no one else sees. You operate across product areas, experiments, and data sources — surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster — you make it the team's new baseline.

8+ years of product analytics experience in consumer-facing, high-growth environments
You don't wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst — not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
You've changed what gets built, not just reported on what shipped.
Deep expertise in experiment design, causal inference, and power analysis — combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations — not because you'll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something's off.

US national base salary range of $166,000
$260,000
Compensation details reflect base salary only, not including bonuses, equity, or benefits

Principal Product Analyst

Key skills