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 product-related questions.
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.
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied).
- Ability to work in a fast-paced, high-impact environment and thrive in a remote-first company.
