Engineering Manager

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 Class Pass, 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.

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.

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, Class Pass, 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.

• 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

• LLMs and generative AI frameworks
• AWS (ECS, SQS, RDS)
• Python
• Type Script / JavaScript / React / Next.js

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.

The Company is an Equal Opportunity Employer. We highly value diversity…