Overjet Software Engineer Interview Guide

Getting ready for a Software Engineer interview at Overjet? The Overjet Software Engineer interview process typically spans several technical and behavioral question topics and evaluates skills in areas like software architecture, scalable coding, cloud technologies, cross-functional collaboration, and problem-solving in fast-paced environments. Interview prep is especially important at Overjet, as engineers are expected to create impactful solutions for dental providers and insurers, work closely with product teams, and contribute to a culture of excellence and rapid innovation in dental AI.

In preparing for the interview, you should:

• Understand the core skills necessary for Software Engineer positions at Overjet.
• Gain insights into Overjet’s Software Engineer interview structure and process.
• Practice real Overjet Software Engineer interview questions to sharpen your performance.

At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Overjet Software Engineer interview process, along with sample questions and preparation tips tailored to help you succeed.

Overjet is the global leader in dental artificial intelligence, dedicated to improving oral health for all. The company’s AI-powered platform is trusted by thousands of dental providers and insurers to deliver superior patient care and drive clinical and operational excellence. Overjet fosters a culture of innovation, where engineers build cutting-edge products that shape the future of dentistry. As a Software Engineer, you will play a pivotal role in developing impactful solutions that transform dental care, supporting Overjet’s mission to set new standards in oral health through technology. Overjet has been recognized by TIME, Newsweek, and Fast Company for its industry leadership and rapid growth.

As a Software Engineer at Overjet, you will design, develop, and maintain innovative software solutions that empower dental providers and insurers to deliver optimal patient care. You will collaborate closely with cross-functional teams, including Product, to drive the technical direction of both new and existing AI-driven products. Your responsibilities will include writing efficient, scalable code, troubleshooting and resolving software defects, and participating in code reviews to ensure high-quality development practices. Additionally, you may mentor junior engineers and contribute to a strong engineering culture in a fast-paced, mission-focused environment. This role directly supports Overjet’s mission to improve oral health for all by advancing the capabilities of its dental AI platform.

2.1 Stage 1: Application & Resume Review

At Overjet, the process begins with a thorough review of your application and resume by the recruiting team and hiring managers. They look for a strong academic background in computer science or a related field, significant hands-on experience in software development, and a track record of delivering scalable products. Emphasis is placed on your proficiency with modern programming languages (such as Python, Java, Node.js, Go, C#, Swift), experience with cloud platforms (GCP, AWS, Azure), and your ability to work in agile, cross-functional teams. To prepare, ensure your resume clearly highlights your technical expertise, leadership or mentoring experience, and any notable contributions to impactful projects.

2.2 Stage 2: Recruiter Screen

The recruiter screen is a 30–45 minute conversation with a talent acquisition specialist. This stage assesses your motivation for joining Overjet, your alignment with the company’s mission to improve oral health, and your overall fit with the company’s values and culture. You can expect to discuss your career trajectory, communication skills, and your experience collaborating in distributed or hybrid engineering environments. Prepare by articulating why you are interested in dental AI, how your background aligns with Overjet’s mission, and examples that demonstrate your adaptability and eagerness to grow in a fast-paced setting.

2.3 Stage 3: Technical/Case/Skills Round

This stage typically involves one or more technical interviews conducted by senior engineers or technical leads. The focus is on your ability to design, develop, and maintain robust software solutions. Expect a mix of live coding exercises, algorithmic problem-solving (such as implementing shortest path algorithms, priority queues using linked lists, or data structure manipulation), and system design questions (like designing scalable ETL pipelines, data warehouses, or real-time dashboards). You may also be asked to discuss your approach to technical challenges, code quality, and cloud deployment. To prepare, review core algorithms, data structures, cloud architecture, and be ready to explain your reasoning and technical choices in detail.

2.4 Stage 4: Behavioral Interview

The behavioral interview is designed to evaluate your interpersonal skills, leadership capabilities, and culture fit. You’ll interact with engineering managers, product team members, or peers. Typical topics include mentoring junior engineers, handling project hurdles, exceeding expectations, and communication strategies for presenting complex technical insights to non-technical audiences. You may also discuss how you prioritize deadlines, foster an engineering culture, and contribute to continuous process improvement. Prepare by reflecting on specific examples from your past roles where you demonstrated ownership, collaboration, and a growth mindset.

2.5 Stage 5: Final/Onsite Round

The final round, often virtual but sometimes onsite in one of Overjet’s geo-hubs, includes a series of in-depth interviews with cross-functional team members, senior leadership, and potential future colleagues. This stage may combine additional technical challenges, architectural deep-dives, and scenario-based discussions related to Overjet’s products or mission. You’ll be assessed on your ability to work collaboratively across disciplines, your technical vision, and your alignment with Overjet’s values. Prepare by researching Overjet’s technology stack, thinking through high-level design decisions, and being ready to discuss how you would contribute to both new and existing product initiatives.

2.6 Stage 6: Offer & Negotiation

If you successfully navigate the previous stages, you’ll enter the offer and negotiation phase with the recruiter or HR team. Here, you’ll discuss compensation, equity, benefits, work location preferences, and start date. Overjet is known for offering competitive packages, flexible hybrid work options, and a strong emphasis on continuous learning and development. Prior to this stage, determine your priorities and be ready to negotiate based on your experience and market standards.

2.7 Average Timeline

The Overjet Software Engineer interview process typically spans 3–5 weeks from initial application to offer, depending on scheduling and candidate availability. Fast-track candidates with highly relevant experience and strong technical alignment may complete the process in as little as 2–3 weeks, while the standard pace allows about a week between each stage. Onsite or final rounds may require additional coordination, especially for candidates outside Overjet’s primary geo-hubs.

Next, let’s dive into the types of interview questions you can expect throughout the Overjet Software Engineer process.

3.1. Data Engineering & System Design

Expect questions probing your ability to architect efficient data pipelines, design scalable systems, and organize complex data. Focus on demonstrating your understanding of ETL processes, data warehousing, and modeling for real-world applications.

3.1.1 Design a scalable ETL pipeline for ingesting heterogeneous data from Skyscanner's partners.
Outline the stages of your ETL pipeline, emphasizing scalability, fault tolerance, and handling varied data formats. Discuss technology choices and strategies for monitoring and error handling.

3.1.2 Design a data warehouse for a new online retailer.
Describe the schema, data sources, and how you’d model relationships to support analytics. Highlight the trade-offs between normalization and denormalization for performance and maintainability.

3.1.3 Model a database for an airline company.
Explain your approach to entity-relationship modeling, capturing flights, bookings, and passengers. Address scalability and query optimization for large datasets.

3.1.4 Create your own algorithm for the popular children's game, "Tower of Hanoi".
Demonstrate your problem-solving and algorithmic thinking by outlining a recursive or iterative solution. Discuss computational complexity and edge cases.

3.1.5 Implementing a priority queue used linked lists.
Describe how you would implement the data structure, focusing on insertion, deletion, and efficiency. Highlight practical applications and potential bottlenecks.

3.2. Data Analysis & Experimentation

These questions assess your ability to design experiments, analyze business impact, and interpret results. Emphasize critical thinking, metric selection, and communicating actionable findings.

3.2.1 The role of A/B testing in measuring the success rate of an analytics experiment.
Discuss how to set up, run, and interpret an A/B test, including hypothesis formulation and statistical significance. Mention common pitfalls and methods to ensure reliable results.

3.2.2 You work as a data scientist for ride-sharing company. An executive asks how you would evaluate whether a 50% rider discount promotion is a good or bad idea? How would you implement it? What metrics would you track?
Explain how you’d design the experiment, select control/treatment groups, and choose metrics like retention, revenue, and customer acquisition. Address potential confounding variables and measurement biases.

3.2.3 How would you analyze how the feature is performing?
Outline your approach to tracking feature usage, defining success metrics, and performing cohort analysis. Discuss how you’d communicate insights to product stakeholders.

3.2.4 We're interested in determining if a data scientist who switches jobs more often ends up getting promoted to a manager role faster than a data scientist that stays at one job for longer.
Describe how you’d frame the analysis, select relevant variables, and control for confounders. Address statistical techniques for causal inference and reporting results.

3.2.5 How to model merchant acquisition in a new market?
Discuss your approach to segmenting markets, identifying key drivers for acquisition, and measuring success. Highlight data sources, feature engineering, and potential predictive models.

3.3. Data Quality & Cleaning

Expect questions testing your ability to handle messy, incomplete, or inconsistent data. Focus on best practices for profiling, cleaning, and validating data to ensure reliable analysis.

3.3.1 Describing a real-world data cleaning and organization project.
Walk through a project where you identified data issues, selected cleaning strategies, and validated outcomes. Emphasize reproducibility and communication with stakeholders.

3.3.2 How would you approach improving the quality of airline data?
Describe your process for profiling data, identifying root causes of quality issues, and implementing remediation steps. Discuss automation and monitoring for ongoing quality assurance.

3.3.3 Modifying a billion rows.
Explain strategies for safely and efficiently updating large datasets, including batching, indexing, and rollback mechanisms. Address performance and data integrity concerns.

3.3.4 Write a query to retrieve the number of users that have posted each job only once and the number of users that have posted at least one job multiple times.
Discuss aggregation and filtering techniques to efficiently process large event logs. Clarify assumptions about user behavior and edge cases in the data.

3.3.5 Designing a pipeline for ingesting media to built-in search within LinkedIn.
Outline the steps for ingesting, cleaning, and indexing unstructured data for search. Highlight scalability, fault tolerance, and relevance ranking.

3.4. Communication & Stakeholder Management

These questions evaluate your ability to translate technical insights for non-technical audiences and drive alignment across teams. Emphasize clarity, adaptability, and business impact.

3.4.1 How to present complex data insights with clarity and adaptability tailored to a specific audience.
Describe your approach to storytelling with data, using visualization and simplified language. Highlight strategies for engaging stakeholders and driving actionable decisions.

3.4.2 Making data-driven insights actionable for those without technical expertise.
Explain how you tailor explanations, use analogies, and provide context for business relevance. Discuss feedback mechanisms to ensure understanding.

3.4.3 Demystifying data for non-technical users through visualization and clear communication.
Share examples of dashboards or reports designed for broad audiences. Emphasize design choices that increase accessibility and reduce cognitive load.

3.4.4 Explain neural nets to kids.
Demonstrate your ability to simplify complex concepts using everyday analogies. Focus on clarity and engagement rather than technical jargon.

3.4.5 How would you answer when an Interviewer asks why you applied to their company?
Connect your motivations to the company's mission, values, and product. Show you’ve researched the company and can articulate your fit.

3.5 Behavioral Questions

3.5.1 Tell me about a time you used data to make a decision.
Highlight a situation where your analysis led to a concrete business outcome. Focus on your decision-making process and the measurable impact.

3.5.2 Describe a challenging data project and how you handled it.
Discuss the obstacles you faced, your approach to resolving them, and the results. Emphasize resourcefulness and perseverance.

3.5.3 How do you handle unclear requirements or ambiguity?
Share your strategy for clarifying objectives, gathering feedback, and iterating on solutions. Show adaptability and strong communication.

3.5.4 Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?
Describe your approach to bridging knowledge gaps and ensuring alignment. Mention tools or techniques you used to foster understanding.

3.5.5 Describe a time you had to negotiate scope creep when two departments kept adding “just one more” request. How did you keep the project on track?
Explain how you quantified new requests, presented trade-offs, and used prioritization frameworks to maintain focus. Highlight your communication and diplomacy skills.

3.5.6 When leadership demanded a quicker deadline than you felt was realistic, what steps did you take to reset expectations while still showing progress?
Detail how you communicated risks, adjusted deliverables, and maintained transparency. Emphasize your ability to balance speed and quality.

3.5.7 Tell me about a situation where you had to influence stakeholders without formal authority to adopt a data-driven recommendation.
Share how you built credibility, presented compelling evidence, and navigated organizational dynamics to drive consensus.

3.5.8 Describe a time you delivered critical insights even though 30% of the dataset had nulls. What analytical trade-offs did you make?
Discuss your approach to handling missing data, the techniques you used, and how you communicated uncertainty in your findings.

3.5.9 How do you prioritize multiple deadlines? Additionally, how do you stay organized when you have multiple deadlines?
Explain your prioritization framework, time management strategies, and tools for tracking progress. Highlight examples of juggling competing priorities.

3.5.10 Tell me about a time when you exceeded expectations during a project. What did you do, and how did you accomplish it?
Describe the initiative you took, the challenges you overcame, and the measurable results. Focus on ownership and impact.

4.1 Company-specific tips:

Immerse yourself in Overjet’s mission of improving oral health through artificial intelligence. Be ready to articulate how your skills and experience align with their vision of transforming dental care for providers and insurers. Demonstrating genuine interest in dental AI and Overjet’s impact on the industry will set you apart.

Research Overjet’s product suite, recent innovations, and recognition in the dental tech space. Familiarize yourself with the company’s AI-powered platform and its applications for clinical and operational excellence. Reference specific features or case studies during your interview to show you’ve done your homework.

Understand the collaborative culture at Overjet. Prepare examples from your past work where you contributed to a high-performing, cross-functional team. Highlight your experience working with product managers, data scientists, and other stakeholders to build solutions that drive business outcomes.

Show your adaptability and passion for rapid innovation. Overjet values engineers who thrive in fast-paced environments and embrace continuous learning. Reflect on times you’ve quickly picked up new technologies, pivoted in response to changing requirements, or contributed to process improvements.

4.2 Role-specific tips:

4.2.1 Master scalable software architecture and cloud deployment strategies.
Brush up on designing robust, scalable systems that can handle large volumes of heterogeneous data. Be prepared to discuss your experience with cloud platforms such as AWS, GCP, or Azure, and how you’ve leveraged them for building, deploying, and monitoring production-grade applications.

4.2.2 Practice coding with modern programming languages relevant to Overjet’s stack.
Review your proficiency in languages like Python, Java, Node.js, Go, C#, or Swift. Practice writing clean, efficient code and be ready to solve algorithmic challenges, such as implementing shortest path algorithms, data structure manipulations, or recursive solutions like Tower of Hanoi.

4.2.3 Prepare to design and optimize data pipelines and warehouses.
Understand how to architect ETL pipelines for ingesting and processing diverse data sources. Be ready to discuss schema design, modeling relationships, and trade-offs between normalization and denormalization to support analytics and operational needs.

4.2.4 Demonstrate strong debugging and code review skills.
Showcase your ability to troubleshoot software defects, optimize performance, and ensure code quality through rigorous review practices. Share examples where your attention to detail led to improved reliability or maintainability.

4.2.5 Highlight your experience mentoring and fostering engineering culture.
If you’ve mentored junior engineers or contributed to process improvements, prepare stories that demonstrate your leadership and commitment to building a strong, collaborative engineering environment.

4.2.6 Be ready to discuss real-world data cleaning and quality assurance.
Share examples of projects where you handled messy or incomplete data, implemented cleaning strategies, and validated outcomes. Emphasize your approach to ensuring data integrity and reliability in production systems.

4.2.7 Communicate technical decisions clearly to non-technical audiences.
Practice explaining complex technical concepts, architectural choices, and business impact in simple, accessible language. Highlight your ability to tailor communication to diverse stakeholders and drive alignment across teams.

4.2.8 Prepare for behavioral questions about ownership, prioritization, and stakeholder influence.
Reflect on situations where you took initiative, managed competing deadlines, or influenced decision-makers without formal authority. Be ready to discuss your strategies for navigating ambiguity, negotiating scope, and exceeding expectations.

4.2.9 Showcase your growth mindset and eagerness to learn.
Overjet values engineers who are proactive about self-improvement and open to feedback. Share examples of how you’ve sought out new learning opportunities, responded to challenges, and continuously elevated your technical and interpersonal skills.

5.1 How hard is the Overjet Software Engineer interview?
The Overjet Software Engineer interview is challenging but rewarding, designed to identify engineers who can thrive in a fast-paced, innovation-driven environment. Expect to be evaluated on your technical depth in scalable software architecture, cloud technologies, and your ability to collaborate across teams. The interview rigor reflects Overjet’s commitment to excellence in dental AI, so preparation and a growth mindset are key.

5.2 How many interview rounds does Overjet have for Software Engineer?
Typically, the Overjet Software Engineer process includes 5–6 rounds: application & resume review, recruiter screen, technical/case/skills interviews, behavioral interview, and a final onsite or virtual round. Each stage is tailored to assess different aspects of your technical and interpersonal fit for the role.

5.3 Does Overjet ask for take-home assignments for Software Engineer?
Overjet may include a take-home assignment or technical assessment as part of the interview process, especially for candidates in remote locations or to further evaluate problem-solving and coding skills. These assignments often focus on real-world scenarios relevant to dental AI and scalable system design.

5.4 What skills are required for the Overjet Software Engineer?
Candidates should demonstrate strong proficiency in modern programming languages (such as Python, Java, Node.js, Go, C#, Swift), scalable software architecture, cloud platforms (AWS, GCP, Azure), and robust coding practices. Additional skills include system design, data pipeline development, debugging, code review, cross-functional collaboration, and clear communication with technical and non-technical stakeholders.

5.5 How long does the Overjet Software Engineer hiring process take?
The standard Overjet Software Engineer interview timeline is 3–5 weeks from application to offer. Fast-track candidates may complete the process in as little as 2–3 weeks, depending on availability and scheduling. Coordination for onsite or final rounds may extend the timeline for candidates outside Overjet’s geo-hubs.

5.6 What types of questions are asked in the Overjet Software Engineer interview?
Expect a blend of live coding challenges, algorithmic problem-solving, system design scenarios, and behavioral questions. Technical interviews may cover topics like ETL pipeline design, cloud deployment strategies, data modeling, and debugging. Behavioral rounds focus on collaboration, ownership, prioritization, and communication with diverse stakeholders.

5.7 Does Overjet give feedback after the Software Engineer interview?
Overjet typically provides feedback through the recruiting team, especially for candidates who reach the later stages of the interview process. While detailed technical feedback may be limited, you can expect high-level insights on your strengths and areas for improvement.

5.8 What is the acceptance rate for Overjet Software Engineer applicants?
While Overjet does not publicly share specific acceptance rates, the Software Engineer role is highly competitive due to the company’s rapid growth and industry leadership in dental AI. Candidates with strong technical alignment and a passion for Overjet’s mission stand out in the process.

5.9 Does Overjet hire remote Software Engineer positions?
Yes, Overjet offers remote and hybrid options for Software Engineers, depending on the team and role requirements. Some positions may require occasional visits to Overjet’s geo-hubs for collaboration, but remote work is supported for qualified candidates who demonstrate strong communication and self-management skills.

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  • Software Engineer interview guide
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Ready to ace your Overjet Software Engineer interview? It’s not just about knowing the technical skills—you need to think like an Overjet Software Engineer, solve problems under pressure, and connect your expertise to real business impact. That’s where Interview Query comes in with company-specific learning paths, mock interviews, and curated question banks tailored toward roles at Overjet and similar companies.

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