Program Manager, AI Operations 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 $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

Grow Therapy is hiring a Program Manager, AI Operations Enablement to join our newly formed AI Center of Excellence (CoE)- the engine behind Grow's AI transformation within Operations. This is a high-impact, highly cross-functional role for someone who thrives at the intersection of operational strategy, emerging technology, and organizational change.

This role is right for you if you're energized by building from 0 to 1, comfortable managing complex workflows across multiple teams, and know how to earn trust with business leaders while navigating technical complexity.

• Own the delivery of individual AI and automation workflows from scoping through launch — coordinating vendor builds, technical integrations, and UAT
• Translate automation opportunities identified by the AI Champions into structured project plans with clear milestones, owners, and success criteria
• Configure and QA automation tools (e.g., setting up workflows, testing prompts, validating outputs) at a level of depth that allows you to troubleshoot issues and speak credibly with technical partners
• Maintain accurate project status tracking across your portfolio, proactively surfacing risks and tradeoffs to leadership before they become blockers

• Act as the advocate for how frontline agents and ops staff actually experience deployed AI workflows — identifying friction points, usability gaps, and adoption barriers during and after rollout
• Partner with AI Champions and team managers to gather ground-level feedback and translate it into actionable iteration requests for vendors or technical teams
• Ensure that automation outputs (e.g., AI-drafted responses, flagged tickets, suggested actions) meet a quality bar that builds rather than erodes trust with end users
• Document workflow behavior, edge cases, and known limitations so that Champions and managers can support their teams independently

• Contribute to the playbooks, SOPs, and training materials that allow AI Champions to expand and manage use cases without ongoing CoE involvement
• Coordinate across Operations pillars to identify where a workflow built in one team can be replicated or adapted elsewhere, reducing duplicative effort
• Participate in prioritization conversations by providing ground-level input on project complexity, timeline feasibility, and adoption readiness

• 5–8+ years of experience in program management, operations, or a closely related role, ideally in a high-growth or technology-forward environment
• You have demonstrated experience managing multiple concurrent projects involving cross-functional stakeholders (vendors, compliance, technical teams, business ops)
• You have hands-on familiarity with AI or automation tools in an operational context — you've worked with, configured, or closely supported the deployment of tools like chatbots, copilots, workflow automation platforms, or similar
• You have the ability to conduct functional QA on AI outputs and automation workflows — you know what "good" looks like and can articulate why something isn't working
• You ahve strong written and verbal communication skills, with the ability to write clear project documentation, SOPs, and stakeholder updates

• Experience in healthcare, mental health, or other regulated industries where compliance and security requirements add meaningful complexity to AI adoption
• Exposure to prompt configuration, workflow logic builders, or no-code/low-code automation platforms