Job description

About Us: Grow was born to tackle a critical challenge: making mental health care more effective and accessible for everyone. Since launching in 2020, 15 million sessions have started on Grow, and we've barely scratched the surface. We do it through a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Every solution we build reveals ten more waiting to be delivered, and that's just what gets us going. We've backed that ambition with more than $328M in funding, including our Series D at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others. At Grow, the work you do can literally change someone's life. Your work here doesn't stay on a screen; it impacts whether someone can find, afford, and access quality care. That ambition sets us apart, and offers you an endless runway to impact one of the world's most urgent issues. We don’t have passenger seats here. Everyone is driving something that matters. This work deserves real commitment. So if you thrive on meeting problems head on, untangling serious complexity, and working at pace with the sharpest yet kindest people around, you've come to the right place. We're hiring a GTM Finance & Operations Lead to build the operating backbone for two critical parts of our marketplace: Provider Recruitment & Experience and our PCP / EAP motion. Reporting to the Head of Revenue Operations, you'll partner closely with GTM leadership and Finance to translate strategy into executable plans, stand up the systems and workflows that run these businesses, and create the reporting and forecasting infrastructure leadership relies on to make decisions. This is a hands-on, zero-to-one builder role. One week you might be designing a coverage model, the next you're rebuilding a forecasting workflow or helping leadership figure out where to invest capacity. In close partnership with the Head of Revenue Operations, you'll also be the driving force behind the data and AI foundation underneath Revenue Operations, architecting the core data layer that ties together Sales, Marketing, Customer Success, and Finance information, and helping shape how the function adopts AI going forward. WHAT YOU'LL BE DOING - Lead the execution of planning, forecasting, and pipeline management for Provider Recruitment & Experience and PCP / EAP, so leadership always has a reliable read on performance against targets. - Be the primary architect of the core data layer for Revenue Operations, connecting Sales, Marketing, Customer Success, and Finance information into a single reliable source of truth. - Help define the direction for how AI shows up in Revenue Operations, pinpointing where automation and AI tools can meaningfully improve GTM efficiency, forecasting, and decision-making. - Build and maintain the data models, pipelines, and analytics products that turn raw data into insight for everyone, from individual contributors to executives. - Design segmentation, coverage, and territory models, along with account allocation and capacity planning frameworks, for both lines of business. - Work closely with the Systems and Strategy & Operations teams so that data architecture, tooling, and process stay tightly aligned across RevOps. - Research, test, and roll out AI tools and vendors, keeping a pulse on the fast-moving AI landscape and turning new capabilities into practical use cases. - Put data governance, quality standards, and documentation practices in place that can scale as the organization grows. - Build dashboards and analyses that are ready for executive use and inform revenue strategy and company-wide reporting. - Act as a cross-functional quarterback across Operations, Commercial, Finance, and Product to keep the Revenue Strategy roadmap on track. - Build the playbooks, processes, and operating cadences needed to scale both businesses as they grow. - Champion a culture of building fast and iterating faster, favoring quick prototypes and rapid deployment over long, perfect build cycles. - Act as a thought partner to Revenue leadership on how AI and modern data infrastructure can shape the future of go-to-market operations. WHAT SUCCESS LOOKS LIKE - Reduction in time-to-insight for revenue questions, measured by cycle time from request to delivered analysis. - Adoption of unified data models and dashboards across Sales, Marketing, and Customer Success teams. - Number of AI-driven use cases successfully piloted and deployed into production each quarter. - Improved forecast accuracy and reporting consistency across the revenue funnel. - Percentage of core revenue reporting migrated off manual/spreadsheet-based processes onto the unified data layer. YOU’LL BE A GOOD FIT IF YOU HAVE - 7+ years in GTM Strategy & Operations, Revenue Operations, Sales Operations, FP&A / Strategic Finance, Business Operations, or a closely related function. - A track record of building commercial infrastructure from the ground up at an early-stage or rapidly scaling company. - Real hands-on technical ability: you're comfortable writing SQL and code yourself, designing data models, and building pipelines, not just directing others who do. - Fluency with the modern AI landscape and a track record of turning emerging tools into practical, production use cases. - Comfort moving between strategy, analysis, process design, and hands-on systems implementation. You're just as happy building a model as you are working through the details of a workflow. - Experience leading forecasting, territory planning, pipeline management, and executive business reviews. - Strong command of CRM platforms, BI tools, spreadsheets, and modern GTM systems. - Excellent judgment and cross-functional instincts, with an ability to turn messy information into clear decisions and scalable processes. Employment Type: Full Time, Exempt Base Compensation: The base compensation range for this position is: Hybrid Commitment: $144,000- $180,500 USD Annually This role will be hybrid (onsite from our NYC location three days per week: Tuesday, Wednesday, Thursday). The hybrid arrangement will include travel 2–3 times per year (e.g., company and department offsites). Full Time Employee Benefits: - Health Benefits: Comprehensive medical, dental, vision, life, and disability coverage. - Grow for Grow: No cost access to therapy through the Grow platform (available to US employees) - Financial Wellness: Retirement savings programs and equity opportunities to help you invest in your future. - Flexible Time Off, Paid Holidays & Winter Break: Flexible time off, company paid holidays (which vary by country), and a full company wide Winter Break to rest and recharge - Parental Leave: Up to 18 weeks of paid parental leave to support you and your growing family and a new child stipend. - Mental Health Mornings/Afternoons: Dedicated weekly flexible time for self care, whether that's therapy, exercise, journaling, time with family, or simply taking a break. - Wellness & Development Stipend: Annual stipend to support your personal wellbeing and professional growth, from fitness and education to books and learning resources. - Commuter Benefits: Pre tax commuter benefits to support teammates working from one of our hub locations. - Home Office & Meals: Support for your home workspace plus meal benefits, with offerings tailored to both remote and hub based employees. - Additional Perks: A variety of wellbeing benefits, including wellness memberships, virtual care, pet insurance discounts (where available), 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: We use certain AI and automated tools to support recruitment. These tools help our team review applications, organize interviews, detect potential application integrity issues, and maintain interview records; they do not make final hiring decisions. Application Review: Ashby's AI-Assisted Application Review helps review application materials against role-specific criteria and may flag potential fraud or integrity issues for recruiter review. All advancement decisions are made by our human recruiting team after independent review. See Ashby's AI Bias Audit Report trust.ashbyhq.com. Interview Recording: We use BrightHire to record interviews, supporting note-taking and consistency across candidates. Learn more help.brighthire.ai. Interviews are confidential; you may ask your interviewer to stop recording anytime, or opt out in advance app.brighthire.ai. Choosing not to be recorded will not, by itself, affect your candidacy. AI-Assisted Recruiter Screen: For select roles, BrightHire's AI features may help structure initial recruiter screens and organize interview notes. All responses are reviewed by our recruiting team; no hiring decisions are made by AI alone. State-specific notices: Depending on your location, you may have additional rights. Illinois: If AI analyzes a video interview, we'll provide notice, explain how it works and what it evaluates, and obtain consent beforehand. New York City: Where required, we'll provide at least 10 business days’ notice before using an automated employment decision tool and explain how to request an alternative process. Maryland: We do not use facial recognition to create facial templates during interviews unless required notice and written consent are obtained. Questions, accommodation requests, requests for an alternative selection process, objections to recording, or concerns about AI use? Contact talentops@growtherapy.com. We’re happy to help or offer an alternative way to participate.

Requirements

Must-haves

Lead the execution of planning, forecasting, and pipeline management for Provider Recruitment & Experience and PCP / EAP, so leadership always has a reliable read on performance against targets.
Be the primary architect of the core data layer for Revenue Operations, connecting Sales, Marketing, Customer Success, and Finance information into a single reliable source of truth.
Help define the direction for how AI shows up in Revenue Operations, pinpointing where automation and AI tools can meaningfully improve GTM efficiency, forecasting, and decision-making.
Build and maintain the data models, pipelines, and analytics products that turn raw data into insight for everyone, from individual contributors to executives.
Design segmentation, coverage, and territory models, along with account allocation and capacity planning frameworks, for both lines of business.
Work closely with the Systems and Strategy & Operations teams so that data architecture, tooling, and process stay tightly aligned across RevOps.
Research, test, and roll out AI tools and vendors, keeping a pulse on the fast-moving AI landscape and turning new capabilities into practical use cases.
Put data governance, quality standards, and documentation practices in place that can scale as the organization grows.
Build dashboards and analyses that are ready for executive use and inform revenue strategy and company-wide reporting.
Act as a cross-functional quarterback across Operations, Commercial, Finance, and Product to keep the Revenue Strategy roadmap on track.
Build the playbooks, processes, and operating cadences needed to scale both businesses as they grow.
Champion a culture of building fast and iterating faster, favoring quick prototypes and rapid deployment over long, perfect build cycles.
Act as a thought partner to Revenue leadership on how AI and modern data infrastructure can shape the future of go-to-market operations.
Reduction in time-to-insight for revenue questions, measured by cycle time from request to delivered analysis.
Adoption of unified data models and dashboards across Sales, Marketing, and Customer Success teams.
Number of AI-driven use cases successfully piloted and deployed into production each quarter.
Improved forecast accuracy and reporting consistency across the revenue funnel.
Percentage of core revenue reporting migrated off manual/spreadsheet-based processes onto the unified data layer.
YOU’LL BE A GOOD FIT IF YOU HAVE
7+ years in GTM Strategy & Operations, Revenue Operations, Sales Operations, FP&A / Strategic Finance, Business Operations, or a closely related function.
A track record of building commercial infrastructure from the ground up at an early-stage or rapidly scaling company.
Real hands-on technical ability: you're comfortable writing SQL and code yourself, designing data models, and building pipelines, not just directing others who do.
Fluency with the modern AI landscape and a track record of turning emerging tools into practical, production use cases.
Comfort moving between strategy, analysis, process design, and hands-on systems implementation. You're just as happy building a model as you are working through the details of a workflow.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigosqlrest

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave

Wellness