Senior Software Engineer - Developer Experience & AI Enablement

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.

The Opportunity:

We are looking for a Senior AI Enablement Engineer to join the Product Infrastructure team at Grow Therapy and help define how AI transforms the way we work across the entire organization. You will design and build the foundational AI infrastructure, tooling, and workflows that enable every department to operate more efficiently and effectively. You will be part of a hub-based team in San Francisco.

Your responsibilities will include building scalable AI systems, partnering cross-functionally with Engineering, Operations, Finance, Legal, and People teams, and driving measurable adoption of AI-powered workflows company-wide.

What You'll Be Doing:

Design and implement Grow's internal AI control plane and tooling ecosystem, including MCPs, AI skills frameworks, and secure connectors to internal systems such as our code, data warehouses, CRMs, finance tools, and internal databases

Build autonomous agents that can solve common classes of engineering problems (feature building, design changes, refactors, tech debt, bug triage, log analysis, etc)

Build reusable, production-ready AI workflows and department-specific copilots that reduce manual effort and accelerate decision-making across teams

Conduct deep workflow discovery sessions with cross-functional partners to identify high-leverage AI opportunities that drive measurable business value

Partner with Security, Legal, and Data teams to ensure all AI infrastructure is compliant, secure, and aligned with data governance standards

Provide documentation, enablement sessions, and feedback loops to drive adoption, and establish metrics to track efficiency gains and platform reliability

You'll Be a Good Fit If:

You have 5+ years of experience in software engineering, platform engineering, or infrastructure roles with hands-on experience building AI-enabled systems (LLMs, skills, MCPs, orchestration frameworks, etc)

You have experience designing and maintaining internal platforms, APIs, or developer tooling and are energized by improving developer experience

You are a strong cross-functional collaborator who can translate business workflows into well-designed technical systems and communicate effectively with non-technical stakeholders

You bring experience with security, data governance, and reliability best practices in production systems, ideally in regulated or healthcare-adjacent environments

You have familiarity with AI agent frameworks, tool/skills registries, MCPs, or experience integrating enterprise systems (CRM, HRIS, finance tools, ticketing systems)

Employment Type: Full Time, Exempt (or Non-Exempt)

Base Compensation: The base compensation range for this position is $200,000–$250,000 USD annually

This is a hybrid role with the expectation to work onsite from our San Francisco or Seattle hub locations 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.