Lead Engineer - Full Stack (AI)

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry.

Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more.

Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending.

Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes

Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries.

This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY.

Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500TM.

We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness.

To learn more about Zenoti visit: https://www.zenoti.com

What will I be doing?

• Own the end-to-end development and technical success of one or more product modules, delivering exceptional customer experiences.
• Design, build, and evolve highly scalable SaaS applications using.NET/C#, REST APIs, SQL/NoSQL, and Flutter/React capable of supporting 2–4× annual business growth.
• Collaborate closely with Product Managers, Designers, and fellow Engineers to deliver customer-centric features in an agile environment.
• Own the complete software lifecycle—from design and implementation through code reviews, testing, deployment, monitoring, and continuous improvement.
• Leverage modern AI-assisted development tools (e.g., Claude Code, Cursor) throughout the engineering lifecycle for design exploration, implementation, debugging, testing, documentation, and code reviews.
• Apply sound engineering judgment to determine where AI-generated output can be trusted and where human expertise is essential, particularly in areas involving security, data integrity, architecture, compliance, and customer-critical workflows.