How to Get a Job at elevenlabs: Interview Process, Experience & Tips (2026)

ElevenLabs builds AI voice technology, including text-to-speech, voice cloning, and audio localisation tools used by developers, creators, and enterprises worldwide. The company has expanded rapidly and currently has 192 open roles across engineering, machine learning research, product, design, go-to-market, and operations. For Indian professionals, this is a meaningful window: ElevenLabs is remote-friendly for many positions and actively recruits international talent.

The hiring bar is high but the scope is broad. ElevenLabs looks for people who move fast, think from first principles, and care genuinely about building excellent products. With 192 open positions spanning functions from ML research to business development, there is a realistic path in for candidates at different career stages and backgrounds.

The stages below are based on publicly reported candidate experiences and Glassdoor reviews. The sequence and depth can vary by role and team, so treat this as a likely outline rather than a guarantee.

Recruiter screen
If your application clears the initial review, a recruiter will reach out for a short video call. Expect questions about your background, what draws you to AI voice technology, and basic role fit. This stage is about mutual interest, not deep technical probing.

Take-home or async task
For engineering, ML, and research roles, candidates commonly report a take-home exercise. This might be a coding problem, a research task, or a technical write-up. Non-technical candidates in product, marketing, or sales typically complete a case study or a writing sample instead. This is a high-filter stage: put real effort in.

Technical or domain interviews
One or two focused interviews with team members or the hiring manager. Engineers face coding challenges and system design discussions. Researchers walk through prior work or tackle a fresh problem on the spot. Product and go-to-market candidates discuss strategy, past decisions, and how they measure impact. Glassdoor-reported candidates note that interviewers push for depth, not just surface answers.

Culture and values conversation
A conversation with a senior leader or a founding team member. They want to understand how you reason under ambiguity, how you handle direct feedback, and whether you are genuinely excited about AI voice as a category. This is not a formality.

Offer and reference checks
If all stages go well, an offer follows. Reference checks often run in parallel with the final round. Based on publicly reported candidate timelines, the full process typically runs two to four weeks from application to offer.

ElevenLabs is a fast-moving startup competing at the frontier of AI. The traits that come up most often in publicly available hiring content and employee reviews are:

Deep craft and ownership
Whether you write code, build models, or close deals, ElevenLabs wants people who take real pride in the quality of their output and own results end-to-end. 'Good enough for now' is not the operating mode here.

Speed and bias toward action
The company ships fast. Candidates who have delivered meaningful results quickly, even in constrained environments, stand out more than those with impressive titles but slow track records.

First-principles thinking
Interviewers probe how you reason, not just what you know. Expect questions that require you to work through problems from scratch rather than recite standard frameworks.

Genuine excitement about AI voice
ElevenLabs hires people who care about the problem. If you have not used the product extensively before interviewing, that gap tends to show in the conversation.

Communication clarity
For a globally distributed team, the ability to write and speak precisely matters a lot. This applies to engineers and researchers, not just roles that are traditionally 'communication-heavy.'

Use the product before your first call
Spend real time with ElevenLabs products: the text-to-speech API, the voice library, the dubbing tools. Know what works well and where you see room to improve. Interviewers notice when candidates have genuine hands-on familiarity.

Research the AI voice landscape
Understand who ElevenLabs competes with, what makes their technology distinctive, and where the market is heading in 2026 and 2027. Be ready to articulate why this company specifically, not just 'I want to work in AI.'

Prepare your 'move fast' stories
For every significant experience on your resume, prepare a concise story about a result you delivered quickly, a hard decision you made with incomplete information, or a time you pushed beyond the initial brief. These scenarios come up across all stages.

For technical roles: think about audio and AI system design
If you are an engineer or ML candidate, go beyond standard coding prep. Think through how you would approach low-latency audio streaming, voice model evaluation, or dataset quality at scale. This kind of contextual depth signals genuine interest in the domain.

Treat the take-home as a portfolio piece
Many candidates are filtered at the take-home stage. Read the brief carefully, go one level deeper than the minimum ask, and document your reasoning clearly. A clean, thoughtful submission moves you forward. A rushed one typically does not.

Let tools handle the application volume
knok checks 150+ job sites nightly, applies to roles that match your resume, and messages HR on your behalf. This frees your preparation energy for interview readiness rather than manual job hunting.

ElevenLabs operates at startup pace with a focus on long-term impact. A few things stand out from publicly available employee and candidate feedback:

Remote-first, high-trust
Much of the team works across multiple time zones. The culture relies on written communication, async collaboration, and individual accountability rather than constant meetings or in-person oversight.

Small teams, big scope
Teams are lean. Individual contributors are expected to own significant pieces of work without heavy management support. This suits people who find large org structures frustrating and is harder for those who prefer more structured direction.

Mission-driven but commercially aware
The company genuinely believes it is building transformative technology. At the same time, it is a venture-backed business that cares about growth and revenue. Candidates who can hold both of those truths together tend to thrive.

Feedback is direct
Publicly reported employee reviews mention a culture of candid, fast feedback. If you prefer feedback delivered gradually over long timelines, that is worth weighing carefully before you accept an offer.

Global by default
With team members across Europe, the US, Asia, and elsewhere, ElevenLabs is genuinely international. Indian professionals joining a remote role will find peers across multiple regions, not a single dominant office culture.