ElevenLabs interview, decoded.
ElevenLabs interviews the way it works: fast, remote, and about whether you can ship a product on your own. The first conversation is often with one of the company's own voice agents, Becky or Oscar, before a 30-minute call with a human recruiter about the work you have owned. Then a self-paced CoderPad challenge of two or three medium problems in about 90 minutes, and a loop of three back-to-back rounds: a behavioural deep dive into projects you led or built alone, a practical coding round modelled on a customer workflow (managing audio files, reviewing a dubbed video, a rate-limited API, streaming audio), and the round nobody else runs, Product Decomposition, where you write no code and design a customer-facing tool from the interface down to the API and the data model. A 30-minute conversation with a senior leader or founder closes it. Two to five weeks; some report longer.
ElevenLabs was founded in 2022 by Mati Staniszewski and Piotr Dąbkowski, is headquartered in New York with offices in London, Warsaw, San Francisco, Bangalore and Tokyo, and hires remotely: 530 people across more than 50 countries as of May 2026. It passed $500 million in annual recurring revenue in the first four months of 2026 and raised a $500 million Series D at an $11 billion valuation in February, led by Sequoia. The company has no formal titles, and the loop is built to find people who do not need one.
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The questions for your exact ElevenLabs role and level.
Interviewing at ElevenLabs? Below are the questions candidates report. For the ones your exact role and level will get, paste the posting. Your first mock is free.
Who ElevenLabs hires
The roles and the backgroundElevenLabs hires software engineers across product, infrastructure, research engineering and front end, remotely and globally, with recent candidates in the United States, the United Kingdom and India. The loop is the same shape for every engineering role; front-end candidates sometimes get a live React exercise or a multi-day take-home in place of the CoderPad challenge. What it selects for, in the company's own framing and every report, is a founder mindset: people who have driven something from idea to production themselves, decide alone when they have to, and can reason about a product as well as a system.
What is the ElevenLabs interview process?
Round by roundPublished accounts and 2025 to 2026 candidate reports agree on five to six stages over two to five weeks. The variation is at the front (an AI agent conversation before or instead of the first recruiter contact) and in the coding challenge's shape for front-end roles.
Background, motivation and logistics, asked by the product. Reported as the first contact in many loops; treat it as a real screen, since a recruiter reads the transcript.
Reported in most loopsThe work you have owned end to end, why you built what you built and the trade-offs, interest in AI audio, and whether you can work autonomously and remotely.
Two or three medium problems (one account: two medium and one medium-hard), auto-graded, Python preferred but any language. Reported topics: tree traversals, cycle detection, string manipulation. Front-end roles: a live React exercise or a multi-day take-home instead.
Algorithmic problem-solving with commentary; in some loops this is folded into the onsite's practical round.
Projects you personally owned, with the focus on work you led or built alone. Ownership and autonomous decisions rather than collaboration stories.
A hands-on problem modelled on a customer workflow: audio file management, a dubbing review workflow, a rate-limited API, streaming audio. Graded on code quality, system thinking and how you iterate.
Design a tool that solves a customer problem, from the user interface down to the API, the backend and the data model. Reported prompts: a tool for customers to review and correct AI-dubbed video; a system to manage and version generated audio files. Equal parts product and engineering judgement.
Vision, culture, and why ElevenLabs; often with a senior leader or one of the founders.
What ElevenLabs screens for
What every round is really testingElevenLabs publishes no list of values; what the reports describe is one trait tested four ways.
- Founder mindset: you have driven something from idea to production yourself
- Autonomy: the behavioural round asks for work you led or built alone, not team stories
- Product judgement: the Product Decomposition round exists to test it
- Clean, idiomatic code under a real workflow, not a puzzle
- No formal titles, direct access to the research and training clusters, and long weeks: reports put 60-hour weeks as typical
ElevenLabs interview questions
Candidate-reported themesThe reported questions are about ownership and about audio products; the algorithmic part is the CoderPad challenge and the screen.
Behavioural & motivation
- What have you built that you are most proud of, and why?
- Tell me about a time you shipped something without being asked to.
- Tell me about a project where you were the sole decision-maker.
- Why ElevenLabs, and why AI audio?
Technical
- Product Decomposition: A tool for reviewing and correcting AI-dubbed video; a system for managing and versioning generated audio files: UI, API, backend, data model
- Practical coding on audio workflows: Audio file management; a dubbing review workflow; a client for a rate-limited API; streaming audio
- The CoderPad challenge: Two or three medium problems: tree traversals, cycle detection, string manipulation
- Front-end variants: A live React exercise or a multi-day take-home in place of the challenge
These are the reported themes — your loop is role-specific. Paste the actual posting and Calibrd predicts the questions for that exact role and level.
Predict my ElevenLabs questions →ElevenLabs' Product Decomposition round: what it asks and how to pass
Reported problems and how to solve themElevenLabs runs a conventional coding challenge and an unconventional design round. In Product Decomposition you write no code and get no system-design prompt of the usual kind; you are handed a messy, manual customer workflow and asked to design the tool that replaces it, from what the customer sees to the API behind it to the tables under that. Reported prompts are the company's own products: review and correct a dubbed video, manage and version generated audio. Here is how the round is described and the method candidates report clearing it with.
- Start with the user and the workflow, not the architecture: Say who the customer is (a localisation lead, a podcast producer), what they do today by hand, and where it hurts. The round is named for decomposition: break the workflow into the three or four jobs the tool has to do before you draw anything. Candidates who open with a database schema report being redirected.
- Design the interface as screens with states: For the dubbing prompt: a timeline of segments with the original and the dubbed audio, a state per segment (approved, flagged, re-generated), and the one action that matters (correct this line and regenerate). Name what is on the screen and what happens on each click; this is what distinguishes the round from system design.
- Derive the API from the screens: Every screen action becomes an endpoint or an event: list segments, flag a segment, submit a correction, regenerate, poll or stream the result. Say what is synchronous and what is a job, because audio generation is not instant and the interface has to show that.
- Then the data model, with versions: For the audio-versioning prompt: a file has many versions, a version has a source (the prompt, the voice, the model), and the customer can compare and roll back. Immutable versions, a pointer to the current one, and a record of what produced each; that is the whole model, and the interviewer wants to hear it in that order.
- Name the hard part and how you would ship it in a week: Latency of regeneration, cost per regeneration, what to do when a correction changes timing. Then scope a first version that ships in days. The company's culture is shipping fast; a design that needs a quarter reads as not having understood the place.
Practise on ElevenLabs' own product surface: take the dubbing studio or the voice library, imagine the manual workflow it replaced, and decompose it out loud into screens, endpoints and tables in 45 minutes. Two of those and the round is familiar. For the practical coding round, build a rate-limited streaming client once, since both nouns recur.
Pay
What the offer looks likeReported packages compiled by Aced from ElevenLabs candidates, read 22 September 2026; Levels.fyi has too few ElevenLabs submissions to quote by level, and the company has no formal titles, so ask what band and equity the offer sits in rather than what level. Equity is private stock with a recent tender offer at $6.6 billion and a Series D at $11 billion. Reports describe long weeks alongside the pay; ask the founder round what a normal week looks like on the team.
How to prepare for an ElevenLabs interview
In order- 01Decompose one ElevenLabs product out loud before the loop: the manual workflow it replaced, the screens, the endpoints, the tables, the hard part, and a one-week first version.
- 02Prepare three ownership stories where you decided alone: the proudest thing you built, something you shipped unasked, a project you ran as the sole decision-maker. The behavioural round asks for exactly these.
- 03Build a client for a rate-limited, streaming audio API once, with tests. The practical round is a customer workflow, and these two nouns recur.
- 04Do the CoderPad challenge rested and in your strongest language; it is auto-graded and two or three medium problems in 90 minutes is comfortable if you do not rush the first.
- 05Treat the voice agent as the first interview: full sentences, the point first, your ownership examples ready.
- 06Have a real answer to why AI audio, and ask the founder round about hours; both sides are checking fit.
This guide covers ElevenLabs' software engineering loop, which is remote and reported as the same shape across its hubs. For management and leadership roles the loop is similar but the bar shifts to people, delivery and strategy, so pair it with the leadership interview prep hub. The bar for your exact role comes from the role-by-role guides, and the prep that actually transfers is spoken, so run a mock interview before the real one.
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The short answersWhat is ElevenLabs's interview process?
Published accounts and 2025 to 2026 candidate reports agree on five to six stages over two to five weeks. The variation is at the front (an AI agent conversation before or instead of the first recruiter contact) and in the coding challenge's shape for front-end roles. AI agent screen: Background, motivation and logistics, asked by the product. Reported as the first contact in many loops; treat it as a real screen, since a recruiter reads the transcript. Recruiter call: The work you have owned end to end, why you built what you built and the trade-offs, interest in AI audio, and whether you can work autonomously and remotely. Coding challenge: Two or three medium problems (one account: two medium and one medium-hard), auto-graded, Python preferred but any language. Reported topics: tree traversals, cycle detection, string manipulation. Front-end roles: a live React exercise or a multi-day take-home instead. Technical screen: Algorithmic problem-solving with commentary; in some loops this is folded into the onsite's practical round. Loop: behavioural: Projects you personally owned, with the focus on work you led or built alone. Ownership and autonomous decisions rather than collaboration stories. Loop: practical coding: A hands-on problem modelled on a customer workflow: audio file management, a dubbing review workflow, a rate-limited API, streaming audio. Graded on code quality, system thinking and how you iterate. Loop: Product Decomposition: Design a tool that solves a customer problem, from the user interface down to the API, the backend and the data model. Reported prompts: a tool for customers to review and correct AI-dubbed video; a system to manage and version generated audio files. Equal parts product and engineering judgement. Founder or leader conversation: Vision, culture, and why ElevenLabs; often with a senior leader or one of the founders.
What does ElevenLabs look for in candidates?
ElevenLabs publishes no list of values; what the reports describe is one trait tested four ways. Founder mindset: you have driven something from idea to production yourself Autonomy: the behavioural round asks for work you led or built alone, not team stories Product judgement: the Product Decomposition round exists to test it Clean, idiomatic code under a real workflow, not a puzzle No formal titles, direct access to the research and training clusters, and long weeks: reports put 60-hour weeks as typical
What questions does ElevenLabs ask in interviews?
The reported questions are about ownership and about audio products; the algorithmic part is the CoderPad challenge and the screen. What have you built that you are most proud of, and why? Tell me about a time you shipped something without being asked to. Tell me about a project where you were the sole decision-maker. Why ElevenLabs, and why AI audio? Product Decomposition Practical coding on audio workflows The CoderPad challenge Front-end variants
What is the ElevenLabs Product Decomposition round?
ElevenLabs runs a conventional coding challenge and an unconventional design round. In Product Decomposition you write no code and get no system-design prompt of the usual kind; you are handed a messy, manual customer workflow and asked to design the tool that replaces it, from what the customer sees to the API behind it to the tables under that. Reported prompts are the company's own products: review and correct a dubbed video, manage and version generated audio. Here is how the round is described and the method candidates report clearing it with. Start with the user and the workflow, not the architecture: Say who the customer is (a localisation lead, a podcast producer), what they do today by hand, and where it hurts. The round is named for decomposition: break the workflow into the three or four jobs the tool has to do before you draw anything. Candidates who open with a database schema report being redirected. Design the interface as screens with states: For the dubbing prompt: a timeline of segments with the original and the dubbed audio, a state per segment (approved, flagged, re-generated), and the one action that matters (correct this line and regenerate). Name what is on the screen and what happens on each click; this is what distinguishes the round from system design. Derive the API from the screens: Every screen action becomes an endpoint or an event: list segments, flag a segment, submit a correction, regenerate, poll or stream the result. Say what is synchronous and what is a job, because audio generation is not instant and the interface has to show that. Then the data model, with versions: For the audio-versioning prompt: a file has many versions, a version has a source (the prompt, the voice, the model), and the customer can compare and roll back. Immutable versions, a pointer to the current one, and a record of what produced each; that is the whole model, and the interviewer wants to hear it in that order. Name the hard part and how you would ship it in a week: Latency of regeneration, cost per regeneration, what to do when a correction changes timing. Then scope a first version that ships in days. The company's culture is shipping fast; a design that needs a quarter reads as not having understood the place.
How do I prepare for an ElevenLabs interview?
Decompose one ElevenLabs product out loud before the loop: the manual workflow it replaced, the screens, the endpoints, the tables, the hard part, and a one-week first version. Prepare three ownership stories where you decided alone: the proudest thing you built, something you shipped unasked, a project you ran as the sole decision-maker. The behavioural round asks for exactly these. Build a client for a rate-limited, streaming audio API once, with tests. The practical round is a customer workflow, and these two nouns recur. Do the CoderPad challenge rested and in your strongest language; it is auto-graded and two or three medium problems in 90 minutes is comfortable if you do not rush the first. Treat the voice agent as the first interview: full sentences, the point first, your ownership examples ready. Have a real answer to why AI audio, and ask the founder round about hours; both sides are checking fit.
- 01Aced (Exponent), ElevenLabs software engineer interview guidethe recruiter call on end-to-end ownership, the self-paced CoderPad challenge (about 90 minutes, two to three medium problems, Python preferred), the front-end variants, the behavioural deep dive on work led alone, the practical round modelled on customer workflows, the Product Decomposition prompts (review and correct AI-dubbed video; manage and version generated audio), the two-to-five-week timeline, the hubs, and the pay (US median $345K, $230K to $445K; London £185K to £190K); updated August 2026.
- 02TechPrep, ElevenLabs's interview process 2026the AI agent screen with Becky or Oscar before the 30-minute recruiter call, the 60-to-90-minute CoderPad assessment, the 60-minute technical screen and its topics (tree traversals, cycle detection, string manipulation), the three-to-four-session loop, and the final 30-minute conversation with a senior leader or founder.
- 03Jobs by Culture, ElevenLabs interview prep 2026 (21 May 2026)the five stages with durations, the three-problem challenge, the practical round's rate-limited APIs and streaming audio, the reported behavioural questions quoted above, the founder-mindset framing, no formal titles, and the 60-hour weeks and 50 per cent positive candidate rating.
- 041Point3Acres, ElevenLabs interview reportstwo online-assessment reports from 2025 and 2026.
- 05ElevenLabs, crossing $500M ARR and new investors (5 May 2026)$500 million ARR in the first four months of 2026 from $350 million at the end of 2025, 530 teammates across more than 50 countries, and the Series D's third close.
- 06TechCrunch, ElevenLabs raises $500M from Sequoia at an $11 billion valuationthe February 2026 Series D.
- 07ElevenLabs, announcing an employee tender offer at $6.6Bthe tender offer that priced employee equity before the Series D.
- 08Wikipedia, ElevenLabsthe founders, the 2022 founding, and the New York headquarters.
Interview processes change. This reflects widely-reported and sourced conditions as of 2026 — confirm specifics with your recruiter, and treat it as a map rather than a guarantee.
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