ElevenLabs
Voice AI: lifelike text-to-speech, dubbing and conversational voice agents
Interview in a few hours? A quick sprint for ElevenLabs
AI in interviews
ElevenLabs openly encourages candidates to use AI to prepare, e.g. researching the company or running a mock interview with an AI agent. It says nothing about AI during live rounds, so assume it isn't allowed unless your recruiter confirms.
Typical interview loop
How ElevenLabs usually runs it for applied AI and LLM engineer roles.
- Focus: Motivation, ownership
Recruiter pre-screen
A conversational call with a recruiting partner about your background, ownership of past work and interest in voice AI.
- Focus: DSA, code quality
Coding assessment
A timed CoderPad assessment completed alone with a couple of medium-difficulty problems; front-end tracks may get a React exercise instead.
- Focus: Practical, product-aware coding
Practical coding
A hands-on problem modeled on a real customer workflow in audio or dubbing, turning a messy task into working code.
- Focus: Product sense, trade-offs
Product decomposition
A no-code design discussion where you break a product into UI, backend and data model, in place of a classic system design round.
- Focus: Ownership, impact
Hiring manager conversation
A deep dive into projects you personally led and shipped, plus how you'd work in the team.
- Focus: Bar, mission fit
Founder or Bar Raiser final
A closing interview with a founder or a Bar Raiser covering past projects and the role.
How it weights your plan
Selecting ElevenLabs when you build a plan multiplies each topic’s priority score:
Official prep and resources
Ready to prepare for ElevenLabs?
Get a day-by-day plan that leans toward what ElevenLabs tests most.
Build my ElevenLabs prep planCompany names and logos are trademarks of their owners, shown only to identify them. SEEKHO isn’t affiliated with or endorsed by any of these companies.