About the Role
Own the vision and roadmap for AI-powered color design features within a digital workflow platform used by dental professionals. Collaborate closely with engineering, design, and clinical experts to deliver accurate, scalable solutions for shade matching and material selection.
Responsibilities
- Define product requirements for AI models that interpret dental shade data
- Guide development of CAD-integrated tools for color simulation and validation
- Work with data scientists to refine training datasets for color accuracy
- Translate clinical workflows into intuitive software interactions
- Prioritize features based on user feedback from dental labs and practitioners
- Lead discovery efforts to understand color perception challenges in dentistry
- Coordinate with manufacturing teams to align digital outputs with physical materials
- Manage end-to-end delivery of color design functionality across platforms
- Evaluate performance metrics for AI-driven color matching over time
- Ensure compliance with dental industry standards and regulatory expectations
- Facilitate user testing with dental technicians and prosthodontists
- Document technical specifications for engineering and QA teams
- Monitor emerging technologies in computer vision and spectral analysis
- Collaborate with UX researchers to refine interface design for color tools
- Drive adoption of new features through training and documentation
- Balance innovation with reliability in clinical environments
- Track competitive landscape in digital dentistry and color science
- Communicate roadmap updates to internal stakeholders and leadership
- Integrate feedback loops from production teams into product iterations
- Support clinical validation studies for new color algorithms
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid remote with team presence in San Francisco
Team
Cross-functional team building AI-driven design tools for dental prosthetics
Why This Role Matters
Color accuracy is critical in dental restorations—patients expect natural-looking results. Current methods are subjective and time-consuming. This role focuses on building objective, data-driven tools that improve consistency and reduce remakes. By advancing how AI interprets and applies shade data, the product directly impacts clinical outcomes and lab efficiency.
Technology Stack
The platform combines proprietary AI models, cloud-based CAD processing, and mobile capture tools. Machine learning pipelines analyze spectral input from intraoral devices, while the design interface enables real-time visualization of proposed restorations. Backend systems integrate with lab workflows and material databases.
Available for qualified candidates
