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Overview
Lead / Manager

Engineering Manager - SmartDesk

Confirmed live in the last 24 hours

Playlist (Mindbody / ClassPass parent co)

Playlist (Mindbody / ClassPass parent co)

United States
On-site
Posted March 31, 2026

Job Description

About the Company:

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.

The Role You'll Play

At the intersection of cutting-edge AI and real-world business solutions, your role as an Engineering Manager for the SmartDesk product, you will lead an engineering team in building an innovative AI-powered front desk assistant for wellness businesses. As a strategic technical leader, you'll transform emerging AI capabilities into reliable, impactful products that solve complex communication and workflow challenges.

  • Empower a high-performing engineering team to deliver exceptional technical solutions and drive meaningful business impact
  • Lead end-to-end team management, from recruiting top talent to mentoring and supporting career growth
  • Shape the technical vision and strategy for SmartDesk, balancing rapid innovation with robust engineering principles
  • Drive product development through close collaboration with product, data, and applied AI teams
  • Make critical architectural decisions that balance speed, quality, and long-term system flexibility
  • Contribute to engineering-wide initiatives and help evolve Playlist's technical capabilities
  • Establish clear goals, prioritize resources, and guide team execution through complex, ambiguous challenges

Experience You Bring

  • 3+ years of engineering management experience leading teams of 6+ members
  • Proven track record of designing and scaling AI-powered SaaS products in B2B2C environments
  • Strong proficiency in Python, with comfort working across diverse technology stacks (React, C#)
  • Deep expertise in transforming AI capabilities into production-ready, reliable systems
  • Exceptional ability to communicate complex technical concepts to cross-functional stakeholders
  • Demonstrated success in establishing technical vision and driving measurable outcomes
  • Experience with modern AI development tools and frameworks
  • Passion for building diverse, high-performing engineering teams

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 $1,51,275 to $2,01,700. 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 s

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