Decagon interview prep. 18 likely questions.
The process at Decagon, what each stage actually tests, and how candidates prep. Real questions where we have them, likely questions where we don't.
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[01] BY THE NUMBERS
Headline facts before you prep.
Pulled straight from Decagon's career page and public data sources. Tap any cell for the full breakdown.
Full Decagon company profile[02] INTERVIEW PROCESS
Standard software engineering loop at Decagon.
The stages below describe the typical SWE loop. Product, Design, and Data loops differ; pick a role to see how it changes, or jump straight to real questions reported for that role.
01Recruiter / Hiring Manager Screen
30-45 min
Recruiter / Hiring Manager Screen
30-45 minDiscussion of your background, research interests, and the role. ML roles often include a quick technical discussion about your past work.
- Be prepared to discuss your papers or projects in detail
- Know the company's recent publications or product launches
- Ask about the team's current research direction
02Technical Screen
60 min
Technical Screen
60 minCoding plus ML concepts. May include implementing an ML algorithm from scratch or discussing model architecture choices.
- Know how to implement common algorithms: logistic regression, decision trees, k-means
- Brush up on gradient descent, backpropagation, and loss functions
- Be comfortable coding in Python with NumPy
03ML Deep Dive
60 min
ML Deep Dive
60 minExtended discussion of ML concepts, model evaluation, feature engineering, and production ML challenges.
- Know bias-variance tradeoff, overfitting mitigation, and model selection
- Be ready to discuss model monitoring and data drift
- Understand the full ML lifecycle, not just training
04System Design / ML Architecture
60 min
System Design / ML Architecture
60 minDesign an ML system end-to-end: data pipeline, feature store, model training, serving, and monitoring.
- Practice designing recommendation systems, search ranking, and fraud detection
- Discuss feature engineering, online vs. offline serving
- Consider model freshness, A/B testing, and rollback strategies
05Research Discussion / Paper Review
45-60 min
Research Discussion / Paper Review
45-60 minSome companies ask you to present your research or discuss a recent paper. Tests depth of understanding and ability to communicate complex ideas.
- Choose a paper you understand deeply, not just superficially
- Be ready to discuss limitations and potential improvements
- Practice explaining technical concepts to different audiences
[03] REAL QUESTIONS
Likely questions for Decagon.
18 likely questions inferred from Decagon's open roles and company profile.
Other Roles
18 questions
Other Roles
18 questionsCan you explain the differences between intent recognition and entity extraction in conversational AI? How do you implement these in your projects?
What techniques do you use to improve the accuracy and performance of speech recognition models?
Can you describe a time when you had to work with a team to solve a complex problem in a project? What was your role, and what was the outcome?
Can you describe a time when you had to troubleshoot a complex problem in a voice or speech recognition system? What steps did you take to resolve it?
Tell us about a project where you collaborated with cross-functional teams to develop a conversational AI solution. What was your role, and how did you ensure effective communication?
Describe a situation where you had to lead a team through a challenging technical project. How did you motivate your team and ensure project success?
Can you provide an example of how you handled feedback from users or stakeholders during a project? How did you incorporate that feedback into your work?
What techniques do you find most effective for improving the accuracy of speech recognition models, and why?
Tell me about a situation where you had to adapt your communication style to effectively collaborate with a diverse team. How did you approach it?
How do you approach the challenge of natural language understanding in conversational AI? Can you discuss any specific algorithms or frameworks you prefer?
What is your experience with deploying AI models in production environments, particularly in the context of voice and speech applications?
What motivates you to work in the field of conversational AI, and how do you envision your career evolving in this area?
What attracted you to Decagon, and how do you see your values aligning with our mission to empower brands through conversational AI?
How do you approach testing and validating the performance of voice and speech models in real-world scenarios?
What are some common challenges you have encountered when deploying AI agents across multiple communication channels, and how did you address them?
Can you explain how you would evaluate the performance of a conversational AI system? What metrics would you consider most important?
What interests you about working at Decagon, and how do you see your skills contributing to our mission of enhancing customer experiences?
How do the values of Decagon align with your personal and professional goals, and what motivates you to work in the field of conversational AI?
How to answer these: the STAR method
Use the STAR method: describe the Situation, the Task you faced, the specific Action you took, and the measurable Result. Aim for 60-90 seconds with one concrete metric. Practice it out loud before the interview so it flows naturally; the same structure works for every question above.
[04] HIRING PULSE
Decagon's hiring pulse.
We re-scan Decagon's career page every few minutes and keep the full posting history, so these counts come from the board itself, not an aggregator.
Posted (7d)
6
Posted (30d)
23
Posted (90d)
68
Scanned every few minutes · newest tracked posting May 22, 2026
[05] APPLY LOGISTICS
Applications go through Ashby.
Decagon runs hiring on Ashby, so the application form and recruiter follow-ups flow through it. Use the same email everywhere and keep the profile fields consistent with your resume; recruiters see both side by side.
A modern, all-in-one recruiting platform built for high-growth companies. Ashby combines ATS, CRM, scheduling, and analytics into a single product.
Auto-apply currently covers Greenhouse, Workday, and SmartRecruiters. For Ashby boards like Decagon's, Scoutify alerts you in real time so you can be one of the first applications in.
ATS identified from the application URLs on Decagon's recent postings
[06] PEOPLE ALSO ASK
Common questions about Decagon interviews.
Does Decagon sponsor H1B visas?
Yes, Decagon does sponsor H1B visas for international candidates. This allows skilled professionals from around the world to apply for positions at Decagon and contribute to the company's growth. If you are considering applying from outside the U.S., you can feel confident that Decagon supports visa sponsorship.
What is the average salary at Decagon?
The salary range for positions at Decagon varies from $202,202 to $274,293, based on the job postings with disclosed salaries. This competitive compensation reflects the high demand for skilled professionals in roles such as Senior Software Engineer and Product Manager. When considering a position at Decagon, you can expect a salary that aligns with industry standards for technology roles.
What is the interview process like at Decagon?
The interview process at Decagon typically includes multiple stages, where candidates may be asked to solve complex problems collaboratively and adapt their communication styles for diverse teams. Expect questions that focus on leadership experiences and technical skills, such as improving speech recognition models. This thorough process ensures that Decagon selects candidates who are not only skilled but also align with the company's culture and values.
What roles are currently open at Decagon?
Decagon is actively hiring for several key roles, with 141 job postings available. The top positions include Senior Software Engineer in Infrastructure and Agents, Senior Agent Product Manager, Implementation Manager, and Customer Engineer, with the highest demand in cities like San Francisco and New York City. If you are interested in these roles, now is a great time to apply as Decagon has posted 28 jobs in the last 30 days.
[07] OVERVIEW
What candidates run into at Decagon.
AI company interviews blend traditional software engineering with ML-specific evaluations. Expect deep dives into ML fundamentals, statistics, paper discussions, and practical implementation challenges.
[08] PREP TIPS
How candidates prepare.
[09] EXPERT FRAMEWORKS
Frameworks and sample answers from interview coaches.
Curated from Columbia Engineering's licensed BigInterview library: expert-written tips, sample answers, and walkthroughs that work for any interview.
Source: BigInterview (licensed by Columbia Engineering)
[10] FAQ
Questions candidates ask about Decagon interviews.
Salary, visa sponsorship, process, hiring volume. Drawn from public data on Decagon.
Yes, Decagon does sponsor H1B visas for international candidates. This allows skilled professionals from around the world to apply for positions at Decagon and contribute to the company's growth. If you are considering applying from outside the U.S., you can feel confident that Decagon supports visa sponsorship.
[11] MORE INTERVIEW PREP
Companies candidates compare with Decagon.
PREP SMARTER. APPLY FASTER.
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