Home / Jobs in San Francisco

G

Engineering Manager, AI Enablement

San Francisco Full-time ML Engineering Manager
Salary
$224,000-$280,000/yr
Interested in this role?

Apply or review the details on the original posting.

Apply for this role

Original posting on LinkedIn

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 $328Mm in funding, including our Series D, at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others.

The Opportunity

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.

What You’ll Be Doing

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’ll Be a Good Fit If

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

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.

Interview Recording: We use BrightHire to record interviews, supporting note-taking and consistency across candidates. Learn more. Interviews are confidential; you ma

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
FAQ

Frequently asked questions

Who offers this ML Engineering Manager role in San Francisco?

The role is posted by Grow Therapy from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

How much does this ML Engineering Manager role pay?

The salary stated in the posting is $224,000-$280,000/yr. It is indicative and worth confirming with Grow Therapy before applying.

What type of role is it?

This is a ml engineering manager position on a full-time basis in San Francisco. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in San Francisco?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new San Francisco roles by email.

Keep looking

Similar roles

H

Director, Applied Machine Learning

Handshake
San Francisco
Head of AIFull-time$375,000-$400,000/yr
1w ago
A

Engineering Manager, Machine Learning (Safety)

Auth21
San Francisco Bay Area
ML Engineering ManagerFull-time$272,000-$306,000/yr
1w ago
F

Director, Research - AI Evals

Figma
San Francisco
Head of AIFull-time$258,000-$348,000/yr
1w ago
P

Artificial Intelligence Engineer / Architect

Predii
San Francisco Bay Area
AI Solutions LeadFull-time
1w ago