Engineering Manager

mindbody; United States; Remote; USD 164,000 - 219,000; Full time

Benefits offered by this job

Equal opportunity employer

Performance bonus

Benefits and incentives

Job summary

mindbody is seeking an engineering leader to head the team building an AI-driven virtual front-desk assistant for fitness and wellness clients. The system handles calls, answers questions, and books classes automatically, saving operators time and scaling across brands.

The product is live and integrated with customers' systems of record. This role focuses on turning evolving AI into a reliable production system that can handle millions of interactions while maintaining high reliability.

Qualifications

• 3+ years managing engineering teams of 6+ in a hands-on, code-centric role.
• Proven track record shipping AI-powered SaaS in a B2B2C setting.
• Strong Python skills; comfortable with React and C#.
• Experience taking AI capabilities from prototype to production.
• Clear communicator with engineers and non-technical stakeholders.
• Able to set direction in ambiguous, evolving problem spaces.
• Hands-on familiarity with modern AI development tools and frameworks.

Responsibilities

• Lead and grow a team of engineers, review architecture and unblock tough decisions.
• Own recruiting, onboarding, mentoring, and performance reviews.
• Set technical direction balancing fast iteration with reliability for a revenue-critical product.
• Partner with product, data, and applied AI peers to prioritize what ships next.
• Make architectural choices as usage expands across brands and millions of interactions.
• Define and uphold quality bar with monitoring that surfaces regressions early.
• Contribute to engineering-wide practices and standards beyond the team.

Skills

People management

Python proficiency

Communication skills

AI development tools

Production deployment experience

Ambiguity navigation

Tools

Python

React

C#

AI frameworks

Job description

Role overview

An engineering leader is needed to head the team behind an AI-driven virtual front-desk assistant that handles calls, replies to customer questions, and books classes and appointments automatically for fitness and wellness businesses. The product is already live, integrated with each customer's system of record, and is reported to save active operators roughly 25 hours per month while resolving the large majority of inbound messages without staff involvement. The role sits at the intersection of applied AI and production engineering, turning rapidly evolving model capabilities into a reliable system operators trust to run their business.

Responsibilities

• Lead and grow a team of engineers building and scaling a live AI assistant, staying close enough to the code to review architecture and unblock tough technical decisions.
• Own full-cycle people management, including recruiting, onboarding, mentoring, and performance reviews.
• Set technical direction that balances fast iteration on new capabilities with the reliability a revenue-critical product demands.
• Partner with product, data, and applied AI peers to prioritize what ships next.
• Make architectural choices that hold up as usage expands across multiple brands and millions of customer interactions.
• Define and uphold the quality bar, including the evaluation and monitoring approach that surfaces regressions before operators notice them.
• Contribute to engineering-wide practices and standards beyond the immediate team.

Requirements

• Three or more years managing engineering teams of six or more in a still-technical, close-to-the-code capacity.
• A track record of shipping and scaling AI-powered SaaS products in a B2B2C setting.
• Strong Python skills, with the comfort to move across a mixed stack that includes React and C#.
• Experience taking AI capabilities from prototype to a system reliable enough to run in production.
• Clear communication with both engineers and non-technical stakeholders.
• Comfort setting direction in a problem space that is still genuinely ambiguous rather than already solved.
• Hands-on familiarity with modern AI development tools and frameworks.

Nice to have

• A genuine interest in building a strong, diverse engineering team rather than a stated one.

Benefits and work setup

• The disclosed U.S. base salary range for this position is $164,250 to $219,000, with a total compensation package that may include a performance bonus, benefits, and other applicable incentives.
• The employer describes itself as an equal opportunity employer that highly values diversity across backgrounds, experiences, abilities, and perspectives.