Its values, its interview process and the questions it asks, in short episodes. Listen on a walk, then practice.
10 episodes1 free to try
No subscription needed
Shows how to build a specific, credible answer to the question that has sunk candidates at the recruiter stage, using the mission, 2026 launches, the $22B trajectory, the no-titles operating model and employee voices. Also gives due-diligence questions and the honest tradeoffs (pace, work-life balance ratings) so your enthusiasm is informed, not generic.
Collects the behavioral questions ElevenLabs candidates actually report ('difficult client,' 'changed your mind,' 'why did none of your side projects ship,' 'most complex project you led') and the themes behind them: end-to-end ownership, autonomy, customer judgment, humility and velocity. Gives a story-building method and questions to ask back that signal owner thinking.
Maps the ElevenLabs loop for software engineers, forward-deployed engineers, GTM and support roles from 129 Glassdoor reports and first-hand Exponent accounts: async coding screens, practical Python rounds, product decomposition, case studies and founder conversations. Also covers the real complaints (silence between rounds, no feedback) and how to manage the process yourself.
An honest look at the operating model: job titles eliminated company-wide, explicit screening for ego, micro-teams of 5-10, founders who still interview hires, and a pace the CEO himself describes as 'chronically online.' Pairs leadership quotes with Glassdoor and Blind data so you can decide fit and speak the culture's language about credit, blame and proof of excellence.
Unpacks ElevenLabs' three stated values and the careers-page language around them, with employee spotlight quotes, the Impact Program and accessibility work, and the company's framing of safety as inseparable from innovation. Helps you map one story to each value and hold a credible position on voice-AI risks, which interviewers probe under 'mindful of its impact.'
Explains the engineering philosophy ElevenLabs leaders describe in interviews: researchers kept close to deployment, a rule that product moves ahead if research cannot solve a problem in three months, 20 micro-teams with six months to prove new bets, few product managers, and Palantir-style forward-deployed engineering. Also covers the developer platform and open-source work (ElevenLabs UI, MCP, Experiments) you can reference.
Walks through the engineering blog's five-stage voice pipeline and time-to-first-audio budget, why endpointing and LLM time-to-first-token dominate, and how Eleven v4 Turbo and Scribe v2 Realtime fit in. Then shows how this exact thinking is tested in the system design and product decomposition rounds, with real reported prompts like 'design voice chat for retail product search.'
Breaks down who ElevenLabs competes with at each layer (OpenAI and open-source models, Cartesia and Deepgram, Suno and Udio), why the company bets on focus, full-stack bundling and licensed data, and how it goes to market through telcos, governments, verticals and 14 global hubs. Prepares you for competitor, prioritization and 'why would an enterprise choose us' questions, especially in GTM, FDE and solutions interviews.
A tour of what ElevenLabs shipped in 2026, from Experiments in ElevenAgents and the hosted MCP in Claude to Eleven v4, Scribe v2 Medical, the Universal Music Group deal and SoundCloud publishing, and what each launch reveals about priorities. Candidates who can discuss two or three recent launches with dates and numbers stand out at the recruiter screen and in 'what would you build' questions.
Covers how ElevenLabs reframed itself from a text-to-speech tool into an AI interaction platform, the research-product-deployment stack it describes as its strategic advantage, and the financial trajectory from a $9M first round to a $22B valuation and 2028 IPO-prep goal. Essential for answering 'what do you know about us' and 'why now' with current, not 2023-era, knowledge.