Engineering Manager at Mindbody

Job description

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. About the Role AI Concierge is Playlist's first shared AI product, a 24/7 front desk assistant that answers calls, responds to client inquiries, and books classes and appointments automatically for fitness and wellness businesses. It's live today for Mindbody customers, deeply integrated into each business's system of record, with real-time access to schedules, pricing, and client history so it works with minimal setup and no technical lift from the operator. The product is already driving measurable results. As of April 2026, active users are saving an estimated 25 hours per month by automating routine client communication, and more than 90% of their messages are handled without staff involvement. Read the launch announcement or watch AI Concierge in action . As Engineering Manager for AI Concierge, you'll lead the team building the next phase of this product: expanding it across Playlist's portfolio of brands (Mindbody, ClassPass, Booker, EGYM), deepening its integrations, and pushing its reliability and reasoning further. You'll work at the intersection of applied AI and production engineering, turning fast-moving model capabilities into a system operators trust to run their front desk. What You'll Do Lead a team of engineers building and scaling AI Concierge, staying close enough to the codebase to review architecture and unblock hard technical calls, not just manage from a distance Own end-to-end team management: recruiting, onboarding, mentoring, and performance Set technical direction for AI Concierge, balancing fast iteration on new capabilities with the reliability operators depend on for a live, revenue-critical product Partner closely with product, data, and applied AI teams to prioritize what ships next Make architectural decisions that hold up as usage scales across multiple brands and millions of client interactions Own the quality bar for the system: this includes the eval and monitoring approach that catches regressions before operators do, not just feature delivery Contribute to engineering-wide practices and standards beyond your own team What You Bring 3+ years managing engineering teams of 6 or more, ideally in a still-technical, close-to-the-code capacity Experience shipping and scaling AI-powered SaaS products in a B2B2C environment Strong Python skills, with comfort moving across a mixed stack (React, C#) A track record of taking AI capabilities from prototype to something reliable enough to run in production Clear communication with both engineers and non-technical stakeholders Comfort setting technical direction in an area that's still genuinely ambiguous; this isn't a solved problem you're inheriting Experience with modern AI development tools and frameworks A genuine interest in building a strong, diverse engineering team, not just a stated one Technologies We Use LLMs and generative AI frameworks AWS (ECS, SQS, RDS) Python TypeScript / JavaScript / React / Next.js Pay Transparency It is Playlist's intent to pay all team members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage team members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $164,250 to $219,000. The total compensation package for this position may also include a performance bonus, benefits, and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn’t intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Requirements

Must-haves

Lead a team of engineers building and scaling AI Concierge, staying close enough to the codebase to review architecture and unblock hard technical calls, not just manage from a distance
Own end-to-end team management: recruiting, onboarding, mentoring, and performance
Set technical direction for AI Concierge, balancing fast iteration on new capabilities with the reliability operators depend on for a live, revenue-critical product
Partner closely with product, data, and applied AI teams to prioritize what ships next
Make architectural decisions that hold up as usage scales across multiple brands and millions of client interactions
Own the quality bar for the system: this includes the eval and monitoring approach that catches regressions before operators do, not just feature delivery
Contribute to engineering-wide practices and standards beyond your own team
3+ years managing engineering teams of 6 or more, ideally in a still-technical, close-to-the-code capacity
Experience shipping and scaling AI-powered SaaS products in a B2B2C environment
Strong Python skills, with comfort moving across a mixed stack (React, C#)
A track record of taking AI capabilities from prototype to something reliable enough to run in production
Clear communication with both engineers and non-technical stakeholders
Comfort setting technical direction in an area that's still genuinely ambiguous; this isn't a solved problem you're inheriting
Experience with modern AI development tools and frameworks
A genuine interest in building a strong, diverse engineering team, not just a stated one
Technologies We Use
LLMs and generative AI frameworks
TypeScript / JavaScript / React / Next.js

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonreactawstypescriptjavascriptnext.js

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Wellness