Sesame Software Engineer interview questions & guide 2026

The following questions represent patterns observed in Sesame interviews. While specific technical tasks may evolve, the focus remains on your ability to handle complexity, your opinionated approach to software architecture, and your genuine interest in the company’s product mission.

Technical and Architectural Design

These questions assess your depth of knowledge regarding data structures, system reliability, and how you approach complex engineering trade-offs.

• How do you approach the separation of concerns in a complex, state-heavy application?
• Can you explain your process for designing a scalable data management system for ML workflows?

Preparation at Sesame requires a blend of technical readiness and a "product-first" mindset. You should be prepared to defend your engineering decisions, as the team values developers who have strong, well-reasoned opinions on how systems should be built.

Technical Rigor – You will be evaluated on your ability to write clean, maintainable code under time constraints. Focus on your mastery of core CS principles and your ability to implement them in a way that is modular and easy for other team members to audit.

System Design – Beyond just writing code, you must demonstrate how your work fits into a larger ecosystem. Be ready to discuss how you would structure data, manage dependencies, and ensure the long-term reliability of the tools you build.

Product Curiosity – It is vital to demonstrate that you have researched Sesame. Do not just look at the technical stack; understand the user experience they are trying to create. Interviewers expect you to have thoughtful questions about the product, the engineering culture, and the specific challenges of voice-tech.

The Sesame interview process is designed to be efficient but thorough, focusing on a mix of technical assessment, architectural discussion, and cultural fit. You can expect a high level of engagement with the engineering team, as the company prioritizes collaborative problem-solving over isolated testing.

The flow typically begins with a screening call where both your technical background and your alignment with the company’s mission are assessed. If successful, you will likely encounter a take-home assignment—this is a critical stage where your coding standards and architectural philosophy will be closely reviewed. Final stages involve multiple technical sessions with engineers and product leads to ensure you can thrive in their cross-functional environment.

This timeline illustrates the progression from initial screening to deeper technical validation. Candidates should view the home assignment not just as a coding test, but as a portfolio piece that demonstrates your professional standards for documentation, testing, and Git management.

Technical Proficiency

Sesame evaluates your ability to write production-ready code that is both performant and scalable. Strong candidates demonstrate a clear understanding of data structures and have a disciplined approach to code organization.

Be ready to go over:

• Separation of Concerns: How you manage state and logic in complex applications.
• Git Hygiene: Your philosophy on commit history and branch management.
• Data Management: How you handle and process large streams of audio or text data.

Example questions or scenarios:

• "How would you refactor a legacy component to improve its testability?"
• "Explain your approach to choosing between different database technologies for a new internal tool."

Problem Solving and Ambiguity

Because Sesame is a growth-stage startup, you will often be tasked with projects that lack clear specifications. Your ability to self-start and define requirements is as important as your technical output.

Be ready to go over:

• High-Ambiguity Environments: Examples of when you had to define the scope of a project yourself.
• Collaboration with ML Teams: How you bridge the gap between research requirements and production-ready engineering.

Example questions or scenarios:

• "Describe a time you were given a vague task; how did you clarify the requirements and execute the project?"

As a Software Engineer at Sesame, your primary responsibility is to build and maintain the internal tools that power their AI assistants. You will work closely with ML and research teams to streamline data management and infrastructure, ensuring that the technology behind the voice assistant is robust and scalable.

You will spend a significant portion of your time identifying bottlenecks in developer productivity and implementing solutions to resolve them. This includes everything from optimizing data pipelines to improving the reliability of the core application. You are expected to be a collaborator, frequently interacting with product managers and other engineers to ensure your technical solutions align with the company’s product roadmap.

Sesame seeks engineers who are comfortable in a fast-paced, research-heavy environment. You should have a solid foundation in computer science and the ability to work independently.

• Must-have skills:
  • At least 3 years of industrial experience in software engineering.
  • Demonstrated ability to work in high-ambiguity environments.
  • Proficiency with database management and internal tooling.
  • Experience working alongside ML or research-focused teams.
• Nice-to-have skills:
  • Prior experience with audio/text data processing.
  • Experience scaling consumer-facing applications.
  • A degree in Computer Science or a related field.

Q: How much time should I dedicate to the take-home assignment? A: While the prompt may suggest 1–2 hours, expect to spend more time ensuring the code is polished and follows best practices. Quality is prioritized over speed, so ensure your submission reflects your best work.

Q: What is the most common reason for rejection? A: Candidates are often rejected for failing to show genuine interest in the product or for not asking insightful questions about the company’s culture and engineering challenges.

Q: Is the process purely technical? A: No, Sesame heavily weights cultural fit and product passion. You must be prepared to discuss why you want to build AI voice assistants specifically.

• Show your work: When completing code challenges, ensure your Git history is clean and professional. It reflects your ability to collaborate in a professional environment.
• Be opinionated: The team values engineers who have strong, reasoned opinions about architecture. Do not be afraid to explain why you chose a specific design pattern.
• Ask questions: Prepare a list of questions about their tech stack and team culture. This demonstrates that you are evaluating them just as much as they are evaluating you.
• Try the product: If possible, engage with their AI voice assistant technology. Even if you are outside their primary market, understanding the user experience is a massive differentiator.

The role of Software Engineer at Sesame is an opportunity to shape the future of human-AI interaction. By focusing on deep technical preparation, demonstrating your ability to thrive in ambiguous environments, and showing genuine enthusiasm for the product, you will stand out as a top-tier candidate.

Remember that preparation is the most effective way to manage nerves and ensure your expertise shines through. You can explore additional interview insights, practice questions, and preparation resources on Dataford to further refine your strategy.

This module provides the current compensation range for this role. Candidates should interpret these figures as a broad market estimate; final offers are typically determined by a combination of your specific years of experience, specialized technical skills, and the internal equity benchmarks at Sesame.