Preparing for Overjet requires a balanced approach. You must demonstrate strong coding fundamentals, a solid grasp of software architecture, and the interpersonal skills necessary to collaborate across multi-functional teams in a fast-growing health-tech environment.

Technical Rigor and Problem-Solving – Interviewers evaluate how you analyze complex technical challenges and translate them into clean, executable code. You should be prepared to write real code during design and coding exercises, demonstrating your ability to handle edge cases and optimize performance.

Architectural Thinking – For system design sessions, you need to show how you structure scalable, reliable systems. This involves discussing trade-offs, data modeling, API design, and integration patterns, particularly how your architecture supports product requirements.

Collaboration and Conflict Resolution – Overjet values team cohesion and effective communication. You will be evaluated on how you handle design disagreements, manage project timelines, and align with cross-functional stakeholders including product managers and machine learning engineers.

Product and Domain Curiosity – Showing an interest in AI-driven dental diagnostics and how software impacts clinical users is highly valued. Be ready to discuss how your technical decisions impact the end-user experience and the overall business.

The interview process at Overjet is designed to be comprehensive, professional, and transparent. It generally begins with a recruiter screening call, often led by supportive talent acquisition members like Nina Chepovska, who set the stage, explain the company culture, and walk you through the role expectations.

Following the initial screen, you will proceed through a series of technical and architectural rounds, culminating in discussions with engineering leadership. The process is highly collaborative and serves as a two-way street, allowing you to ask questions and learn about the team's culture and product. While some candidates report a highly streamlined 3-round experience taking 2-3 weeks, others have experienced up to 5-6 rounds depending on the complexity of the role and team alignment. Be prepared for a thorough evaluation that covers both deep technical execution and behavioral alignment with engineering directors and managers like Wade Green and Marcus Gois.

This timeline outlines the typical progression from your initial recruiter screen through technical assessments and leadership rounds. Use this visual guide to pace your preparation, ensuring you allocate sufficient time to practice live coding, system design, and behavioral storytelling before your final rounds.

Live Coding and Design Exercise

This round evaluates your ability to translate an abstract technical challenge into working code. You will collaborate with senior staff engineers, such as Steve Strassmann, to architect a solution and write real code during an open-ended conversation.

Be ready to go over:

• Algorithm implementation – Writing clean, structured, and bug-free code in your preferred language.
• Trade-off analysis – Discussing the performance, readability, and scalability of your approach.
• Interactive problem-solving – Communicating your thought process out loud as you write code.
• Advanced concepts (less common) – Optimizing rendering performance for large datasets or images, and designing resilient state management for complex web applications.

Example questions or scenarios:

• "Design and implement a component that visualizes clinical annotations on a dental radiograph."
• "Develop a technical solution to a real-time data synchronization challenge and write the corresponding code."

System Architecture and Engineering Complexity

This area tests your ability to design robust systems and discuss the technical complexity of your past projects. Staff engineers like Sheraz Ahmed will dive deep into your engineering background to understand how you approach system boundaries, data modeling, and performance bottlenecks.

Be ready to go over:

• Past project complexity – Detailing the architecture of a complex system you built and explaining why you made specific design choices.
• API and data modeling – Designing clean interfaces and database schemas that support scaling product demands.
• Integration patterns – How to ingest and process data from external systems reliably.
• Advanced concepts (less common) – Distributed system reliability, fallback mechanisms, and handling large-scale image processing pipelines in cloud environments.

Example questions or scenarios:

• "Walk me through the most technically complex software system you have designed and deployed to production."
• "How would you architect a system to process and store thousands of high-resolution dental scans concurrently?"

Leadership and Interpersonal Dynamics

Overjet places a strong emphasis on how you work within a team. Engineering leaders like Wade Green will explore how you manage projects, handle professional disagreements, and collaborate with product managers and other engineers.

Be ready to go over:

• Handling disagreements – How you navigate technical conflicts or design differences with peers or leadership.
• Project ownership – Your experience leading initiatives from conception to delivery.
• Continuous feedback – Your ability to accept and integrate real-time feedback, a quality highly valued by managers like Marcus Gois.
• Advanced concepts (less common) – Mentoring junior engineers, driving engineering best practices, and balancing technical debt with rapid feature delivery.

Example questions or scenarios:

• "Tell me about a time you had a significant design disagreement with a teammate. How did you resolve it?"
• "Describe a project you managed where you had to balance competing technical and business priorities."