Dandy is transforming the massive and antiquated dental industry—an industry worth over $200B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients.
The Practice Production team builds the systems and tools that power how dental practices grow, learn, and perform. We design and deliver the next generation of engagement, diagnostic, and educational experiences that help practices operate at their full potential.
Our mission is to drive Same Store Growth for our partners by providing them with the insights and clinical tools they need to succeed.
We are looking for a Software Engineer 2 to join our Practice Production team. You will be responsible for building high-impact products across several key domains:
Simulation & Diagnostic Tools: Building the visual and data-driven tools that help dentists diagnose and plan treatments more effectively
Patient Education: Creating interactive experiences that help patients understand their dental health and treatment options
Insights/Hub: Developing the centralized performance dashboard that gives practices actionable data to optimize their growth
Contribute to the development of scalable services and rich frontend experiences across our Simulation, Diagnostic, and Insights domains
Own features directly tied to our North Star Metric (Same Store Growth), ensuring that our tools provide measurable value to dental practices
Work closely with Product, Design, and Clinical experts to translate complex dental workflows into intuitive software
Contribute to code reviews, ask questions during architectural discussions, and suggest best practices
Contribute across our stack (TypeScript, React, Node, GraphQL, PostgreSQL) to deliver end-to-end features
3+ years of professional software engineering experience
Strong proficiency in modern full-stack development. Experience with React and Node.js is highly preferred
You don’t just build to spec; you care about the "why" and are obsessed with how your work impacts practice performance and patient outcomes
You are excited by the challenge of building diagnostic and simulation tools that may involve complex data visualization, 3D renderings, or third party integrations
You are AI forward, you look for opportunities to utilize AI where applicable
A commitment to high-quality code, automated testing, and robust system design
For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work.
Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!
Dandy is a cutting-edge dental lab providing a complete digital solution for seamless transition to digital scans, driving growth and enhancing clinical outcomes in dental practices.
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