Responsibilities
- Own a product measurement strategy. Define north star and input metrics for a major product area (or multiple surfaces), align stakeholders on definitions, and build conviction in what “good” looks like.
- Lead multi-team initiatives. Drive cross-functional work where the right answer is not obvious and the path is not linear, and ensure we land measurable outcomes.
- Set the experimentation standard. Establish frameworks for test design, guardrails, decision rules, and interpretation that improve both speed and rigor across teams.
- Develop evaluation systems for complex products. For areas like matching, ranking, or applied AI experiences, build measurement approaches that combine offline evaluation, online experiments, and human-quality signals when needed.
- Build scalable analytical assets. Invest in durable measurement systems: semantic definitions, self-serve dashboards, monitoring and alerts, and repeatable templates that reduce ad hoc work.
- Mentor and uplevel. Coach other data scientists and analytics partners, provide strong technical review, and model what great looks like.
- Be a thought leader. Proactively identify opportunities, shape roadmaps with an evidence-based POV, and create clarity where teams feel stuck.
Requirements
- 10+ years using data to drive product or business decisions in product, growth, engineering, or operations environments (or equivalent depth of experience and scope).
- Expert fluency in SQL and strong proficiency in Python or R, including building reliable, reusable analysis workflows.
- Deep expertise in Bayesian experimentation, causal inference, and measurement design, including common failure modes and how to prevent them.
- Strong applied modeling judgment: you know when a model is the right tool, and you can build, validate, and launch responsibly.
- A track record of leading ambiguous, cross-team work and delivering measurable outcomes (not just insights).
- Excellent executive communication and influence: you earn trust, align stakeholders, and move decisions forward.
- Strong product sense and an instinct for decision leverage: you focus on what changes outcomes, not what is merely interesting.
- Motivation for our mission: improving access and affordability in mental healthcare.
Benefits
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development