TRM Labs is looking to establish and lead its Product Analytics function to drive product decisions and close the gap in insight loops to confidently answer questions about feature effectiveness and value creation.
Requirements
- Experiment Design & Statistical Methods — Skilled in designing robust experiments and deriving meaningful causal inferences that influence product direction.
- Advanced SQL Modeling — Writes modular, tested SQL models that power dashboards and experimentation frameworks; contributes to codebase via GitHub.
- Data Storytelling & Stakeholder Influence — Builds compelling narratives that connect user behavior to business outcomes; adjusts depth and format for execs vs. ICs.
- Ownership Mindset — Proactively improves instrumentation, ensures reliable data pipelines, and closes the loop between product changes and insights.
Responsibilities
- Experimentation & Causal Analysis — Design, launch, and analyze controlled experiments (feature flags, quasi-experiments) to validate product bets; deliver statistically robust recommendations that directly influence ship/iterate/kill decisions.
- Insight Generation & Roadmap Influence — Translate complex product & customer data into crisp narratives that reshape priorities and unlock ARR or risk-reduction upside.
- KPI Framework & Dashboard Ownership — Define north-star and supporting metrics, build data models & dashboards, and ensure leadership consumes a single source of truth for product health.
- Data Quality & Instrumentation Governance — Partner with R&D to spec, QA, and monitor event tracking; author tests and anomaly alerts so teams trust the numbers.
Other
- US-based role with ~4 hours of overlap with PST working hours.
- No on-call or weekend work expected.
- Individual pay is determined by skills, qualifications, experience, and location.
- Must be able to extract insights for every product release within 72 hours of launch.
- Must be able to influence quarterly roadmap priorities through data-backed insights.
