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 $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

The Opportunity:

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.

What You’ll Be Doing:

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.

You’ll Be a Good Fit If:

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.

Employment Type: Full Time, Exempt
Base Compensation: 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 offsites).
The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

Full Time Employee Benefits:

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 towards personal & professional growth.
Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.

Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.

Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool, Gem, to assist in the initial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with California FEHA regulations on automated decision systems and New York Local Law 144 can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at [email protected]. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.

Sr. Manager, Data - Match Success

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