Sr. Manager, Data - Match Success

About Us

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters.

Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178 million of funding from Sequoia Capital, Transformation Capital, TCV, Signal Fire, and others.

Grow Therapy is seeking a Senior Manager / Director of Data to lead our Match Success pillar, a core part of our marketplace that focuses on connecting clients with the right providers. In this role, you will oversee data science efforts across provider profiles, search and browse experiences, and the analytical foundations of our therapist ranking system. You will help define how match quality is measured, partner closely with Product, Engineering, and Machine Learning to guide experimentation and modeling decisions, and ensure data informs every major tradeoff in how clients find care.

Your work will directly influence user trust, retention, and long‑term outcomes, and will shape how Grow Therapy scales access to high‑quality mental health care.

• Lead and develop a high‑performing data science team focused on marketplace quality, match success, and search and browse experiences.
• Define success metrics, experimentation frameworks, and analytical standards for evaluating and improving therapist ranking and matching systems.
• Partner closely with Product, Engineering, and Machine Learning teams to influence roadmap decisions, balance relevance and marketplace constraints, and drive measurable improvements in match quality.
• Guide rigorous analysis and modeling efforts, including hands‑on review and contribution when needed, while maintaining a player‑coach approach to technical leadership.
• Communicate insights and recommendations clearly to senior stakeholders, ensuring data‑driven decisions across product strategy and investment planning.

• 8+ years of experience in a quantitative role within fast‑paced consumer technology environments, including experience leading data science teams working on product critical systems.
• Strong background in applied machine learning and experimentation, particularly in ranking, relevance, personalization, or matching problems.
• Fluent in SQL and Python, with the ability to both set technical direction and roll up your sleeves on complex analyses or modeling work.
• Proven track record of partnering with Product and Engineering to influence strategy, execution, and tradeoffs through data and clear communication.
• Motivated by improving access to mental health care and energized by owning ambiguous, high‑impact problems in a mission‑driven marketplace.

Full Time, Exempt

The base compensation range for this position is $205,000–$272,727 USD annually

This is a hybrid role with the expectation to work onsite from our San Francisco or NYC hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department off‑sites).

• Comprehensive Health Coverage:
  Medical, dental, and vision insurance, plus life and disability coverage.
• Parental Leave & Family Support:
  Up to 18 weeks paid leave and a new child stipend.
• Financial Wellness: 401(k) program and equity opportunities.
• Meals & Home Office Support:
  Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in‑office employees.
• Time Off to Recharge:
  Flexible PTO, 12 paid holidays, and a full winter break week.
• Wellness & Development:
  Annual stipends to put toward personal & professional growth.
• Mental & Physical Health Support:
  No‑cost access to therapy…