Engineering Manager, AI Enablement

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 $328

Mm in funding, including our Series D, at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, Signal Fire, Menlo Ventures, Goldman Sachs Alternatives, and others.

We're looking for an Engineering Manager to lead Grow's newly formed AI Enablement Tech Team, the central engine behind the company's AI strategy. Alongside a dedicated PM, you'll own the company-wide AI roadmap, build the foundational infrastructure every function depends on, and drive end-to-end delivery of our most complex AI use cases. You'll lead a executive-aligned engineering team and run an ongoing cross-functional working group with AI Champions across the organization.

This is a rare opportunity to define how AI works at Grow, not just for engineering, but for the entire company.

• Own the technical strategy and execution of Grow's company-wide AI roadmap, sequencing infrastructure investments and use cases against company-level impact in close partnership with the PM
• Build and operate core AI infrastructure: data pipelines, model access, embeddings, retrieval layers, and governance frameworks, with PHI compliance as a non-negotiable constraint
• Architect and maintain the connector layer (MCPs, integrations, and APIs) that enables agentic workflows across every business function
• Lead delivery of high-priority, complex AI use cases requiring close Product and Engineering collaboration (e.g. Grow LLM, AI-assisted care workflows)
• Drive AI vendor governance: procurement decisions, contracts, and a cross-company tool registry that prevents redundant spend and ungoverned tooling

• You have 8+ years of software engineering experience with 5+ years leading engineering teams, including hands‑on experience building AI/ML infrastructure, LLM-powered systems, or agentic workflows
• You have strong technical depth in AI/ML infrastructure: you've built or operated pipelines, embedding systems, retrieval layers, or orchestration frameworks in production
• You bring excellent cross-functional leadership: you're equally effective in a technical design review and a working group with clinical, legal, or business stakeholders
• You operate with a founder's mindset: you bring structure to ambiguity, move fast, and build systems designed to scale beyond your direct involvement
• You're a strong communicator who can translate technical decisions into clear business impact for senior leadership and non-technical partners

• 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.
• Men…