GTM Engineer

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.

Grow Therapy is growing our Revenue Operations team, and we’re looking for a GTM Engineer to join the builders architecting the systems, data, and automation layer behind our commercial engine. This is a role built for range: you could be re-architecting the referral engine that turns physician outreach into inbound patient referrals for our Primary Care (PCP) motion, standing up a brand-new 0-to-1 system connecting benefits consultants, employers, and employees for our Employee Assistance Program (EAP), or building the recruitment, credentialing, and retention systems that let Grow recruit and retain the therapists and prescribers on our platform through Provider Experience. Every one of these is a real engineering problem, not a process-improvement exercise, and every one of them directly expands access to mental healthcare.

This is a high-ownership, builder-first role for someone who wants to work at the intersection of GTM strategy and hands-on systems engineering: architecting the data model, shipping the automation, and building the AI agents that let Grow’s commercial teams do more without growing headcount linearly. You’ll work in close partnership with the GTM Engineering Lead, Enterprise & GTM Architecture, who sets the standards for Grow’s GTM systems architecture end-to-end, and with the broader GTM Systems team as it takes shape.

A taste of the systems you could be building:

• Primary Care (PCP): Design the data model and automation that convert physician-office outreach into a repeatable, inbound referral engine, and automate referral intake, validation, and routing.

• Employee Assistance Program (EAP): Map the end-to-end consultant → employer → employee journey and build the staging environment and data model from scratch to support a brand-new motion.

• Provider Experience: Build the recruitment, credentialing, and retention pipeline that moves a provider from first application to an active, engaged member of Grow’s network.

What You’ll Be Doing

• Architect the system: Design and ship the end-to-end technical architecture for your assigned motion, spanning data model, automation logic, and integration patterns.

• Build AI agents, not just workflows: Design and deploy AI agents (built on Claude) that autonomously perform GTM tasks (referral triage, document parsing, account research) rather than workflows that simply call an LLM API.

• Run an experimentation loop: Treat new automations and agent behaviors as experiments: ship fast, measure impact, and iterate or kill based on data, not intuition.

• Evolve the stack: Continuously evaluate the GTM tech stack (HubSpot, n8n/Workato, Segment, Gong, Aircall/Nooks, Clay) and recommend consolidation or upgrades as your motion matures and scales.

• Sandbox everything: Implement rigorous testing and deployment so no logic goes live unvalidated.

• Document the system: Maintain a technical schema map of your systems so the organization understands the logic behind every automation.

• Own data governance: Define and enforce data governance standards (field definitions, ownership, quality rules, and access controls) for your data model as a core part of data strategy.

• Build for resilience: Build monitoring and self-healing automations that alert the team when data syncs fail or logic breaks.

• Align on shared architecture: Partner with the GTM Engineering Lead, Enterprise & GTM Architecture to apply consistent technical standards and governance practices across your systems and the rest of Grow’s GTM architecture.

Outcomes You’ll Own

Across PCP, EAP, and Provider Experience, the bar is the same: build systems that let volume grow without a proportional increase in manual effort. A few examples of what that looks like:

• Grow the demand side (Primary Care): Increase the number and quality of inbound physician referrals and successful patient intakes.

• Build the EAP foundation (EAP): Ship a 0-to-1 systems foundation robust enough to support Grow’s next phase of employer and consultant growth.

• Maximize efficient supply (Provider Experience): Increase the number of credentialed, engaged therapists and prescribers Grow can support without a proportional increase in manual effort.

You’ll Be a Good Fit If You Have

• Experience: 5+ years in a technical RevOps or GTM Engineering role; experience with healthcare, benefits, credentialing, or referral/recruiting systems is a plus.

• An Architect Mindset: You see logic gates, data schemas, and API endpoints, and design for scale rather than one-off fixes.

• HubSpot Mastery: Expert-level technical knowledge of HubSpot (Advanced Workflows, Custom Objects) as Grow’s core CRM.

• Orchestration Fluency: Expert proficiency in n8n and Workato, and comfort integrating tools like Segment, Gong, Aircall, Nooks, and Clay, depending on your track.

• AI Agent Builder: Proven experience building AI agents and agentic workflows (Claude, OpenAI, or Gemini) that autonomously perform GTM tasks, not just single-step LLM calls.

• 0-to-1 & Multi-Stakeholder Comfort: Experience standing up net-new systems and data models for a channel or motion that didn’t previously exist, and/or designing CRM data models for complex, multi-party relationships.

• Data Governance: Experience setting data governance standards (definitions, ownership, quality rules, access controls) as a core part of data strategy, not an afterthought bolted on once a model is live.

• Lifecycle Thinking: Experience architecting systems that span both a funnel and an ongoing relationship, not just a single-stage pipeline.

Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is:

Hybrid Commitment: $114,000 - $133,000 USD Annually

This role will be hybrid (onsite from our NYC location three days per week: