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.
- At Playlist, we're reimagining how technology can foster meaningful, real-world connections. As a Senior Software Engineer on the SmartDesk team, you'll be at the forefront of building an AI-powered front desk assistant that transforms how wellness businesses communicate and operate.
- Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients
- Designing and implementing robust web and messaging services that power conversational and workflow automation
- Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust
- Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions
- Architecting scalable systems across frontend, backend, and integration layers
- Mentoring teammates through thoughtful code reviews and technical guidance
- Turning cutting-edge AI capabilities into practical, user-centric product features
- Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market
- Crafting end-to-end AI-powered experiences that seamlessly connect wellness businesses with their clients
- Designing and implementing robust web and messaging services that power conversational and workflow automation
- Integrating large language models (LLMs) and generative AI frameworks with a laser focus on safety, reliability, and user trust
- Collaborating closely with product, design, and applied AI teams to transform complex challenges into intuitive solutions
- Architecting scalable systems across frontend, backend, and integration layers
- Mentoring teammates through thoughtful code reviews and technical guidance
- Turning cutting-edge AI capabilities into practical, user-centric product features
- Driving technical excellence by making pragmatic engineering decisions that balance innovation, quality, and time to market
- 2-3 years of Senior-level experience building full-stack features for SaaS products
- Proven track record of developing user-facing web applications and supporting APIs
- Expertise in designing and shipping AI-powered features in production environments
- Strong experience with distributed systems, third-party integrations, and messaging platforms
- Proficiency in making architectural decisions that balance technical debt, innovation, and business needs
- Deep understanding of engineering fundamentals, including testing, observability, and maintainability
- Exceptional communication skills with the ability to collaborate across multidisciplinary teams
- Comfort navigating ambiguity and rapidly learning emerging technologies
- LLMs and Generative AI Frameworks
- AWS (ECS, SQS, RDS)
- Python
- TypeScript / 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 $114,000 to $152,000 USD. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plans.
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.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
