Working at ElevenLabs in 2026: Remote-First Voice AI & the Honest Trade-Offs

ElevenLabs is the company that made synthetic voices sound real. Founded in 2022 by Mati Staniszewski and Piotr Dabkowski — two Polish engineers who met at a machine learning research lab — ElevenLabs has grown from a side project in voice cloning to the dominant platform in AI audio. Text-to-speech, voice cloning, real-time dubbing, sound effects generation: if it involves AI and audio, ElevenLabs is almost certainly the company that set the benchmark.

But behind the product demos and the viral voice clones, what is it actually like to work there? We analyzed data from ElevenLabs' company profile, Glassdoor reviews, public employee accounts, and the company's hiring patterns to give you an honest picture. Whether you're evaluating an offer, weighing ElevenLabs against another AI lab, or trying to understand the culture of one of the fastest-moving companies in generative AI, here's what you need to know.

The Founders: From Poland to Voice AI Dominance

ElevenLabs' origin story is inseparable from its founders' backgrounds. Mati Staniszewski and Piotr Dabkowski are both Polish, and they built the company around a frustration that many multilingual people share: the quality of dubbed content was terrible. Watching Hollywood films dubbed into Polish, they noticed how much meaning and emotion was lost in translation. The founding thesis was simple — use AI to make synthetic speech that actually sounds human, preserving the emotion, cadence, and character of the original voice.

The timing was perfect. ElevenLabs launched just as large language models were making generative AI mainstream, and the demand for high-quality synthetic voices exploded across content creation, accessibility, gaming, and enterprise applications. The company raised aggressively, scaled its research team, and shipped products at a pace that left competitors struggling to keep up. By 2026, ElevenLabs has grown to roughly 600 employees distributed across more than 30 countries — a genuinely global, remote-first operation.

The Polish roots matter for understanding the culture. There's a directness and engineering pragmatism that runs through the company. Staniszewski has described the culture as one where "the best idea wins, regardless of who proposes it" — and the flat, meritocratic structure reflects an Eastern European tech sensibility that prizes technical ability over credentials or corporate polish.

ElevenLabs at a Glance

Among the companies in our Culture Directory, ElevenLabs occupies a distinctive position: a genuinely remote-first AI company that ships fast, works on frontier research, and has built a consumer product that millions of people actually use. The closest cultural comparisons are companies like Mistral (European AI lab, fast-moving) and DeepL (European, language-focused AI), though ElevenLabs' remote-first model and consumer-facing product make it more accessible to a global talent pool.

Remote-First Reality: 30+ Countries, One Codebase

ElevenLabs is one of the few AI companies at scale where "remote-first" actually means remote-first. This isn't a San Francisco company with a remote policy bolted on. The team is distributed across more than 30 countries, with significant clusters in Poland, the UK, the US, and across Western and Eastern Europe. There is no mandatory headquarters, no required office days, and no expectation that you'll relocate.

This has real implications for day-to-day work. Collaboration is primarily asynchronous, with documentation and written communication carrying more weight than real-time meetings. The company leans heavily on tools like Notion, Slack, and GitHub for coordination, and most teams operate with overlapping windows of availability rather than synchronized schedules. For engineers in Warsaw or Berlin, this means a European-friendly cadence. For engineers in New York or San Francisco, it means accepting that your European colleagues won't be on Slack at 4pm Pacific.

The remote model also shapes hiring. ElevenLabs can recruit top AI researchers and engineers from anywhere in the world — a significant competitive advantage when frontier ML talent is the scarcest resource in tech. Rather than competing for the same Bay Area talent pool as OpenAI and Anthropic, ElevenLabs can hire exceptional researchers from Krakow, Bucharest, or Bangalore. The trade-off is the coordination overhead that comes with any distributed team, and some reviewers note that the remote setup can feel isolating, especially for more junior employees who benefit from in-person mentorship.

Engineering Culture & the Voice AI Stack

ElevenLabs is, at its core, a deep-tech AI company. The engineering challenges are genuinely hard — real-time voice synthesis with human-level quality, cross-lingual voice cloning that preserves emotion, and low-latency streaming for conversational AI applications. This is not a company wrapping API calls around someone else's model. ElevenLabs trains its own foundational voice models, and the research team publishes work that moves the field forward.

Tech Stack

The ML stack is Python and PyTorch with heavy GPU compute, as you'd expect from a company doing generative model training at scale. The product and platform layers use TypeScript and React, with Kubernetes orchestrating inference workloads across cloud providers. The engineering-driven culture means researchers and engineers have significant autonomy in choosing tools and approaches — there's less top-down standardization than you'd find at a larger company, and more emphasis on solving hard problems with the right tool for the job.

How engineering works at ElevenLabs

• Research and product are tightly coupled. Unlike some AI labs where research operates independently, ElevenLabs pushes research directly into production. A voice synthesis breakthrough can go from paper to shipped product in weeks, not quarters. This is both exciting and demanding — the boundary between "research" and "production engineering" is intentionally blurred.
• Small, autonomous teams. Engineering teams are small and own their domains end-to-end. There is minimal bureaucratic overhead between identifying a problem and shipping a solution. This is a ship-fast culture where velocity is valued, and engineers are expected to make decisions rather than wait for approvals.
• High talent density. Multiple reviewers cite the caliber of colleagues as the single best thing about working at ElevenLabs. The hiring bar is high, and the result is a team where technical conversations are substantive and challenging. For engineers who thrive on being surrounded by sharp people, this is a major draw.
• GPU-intensive workloads. If you're interested in working at the intersection of ML research and systems engineering — training large models, optimizing inference latency, building real-time streaming pipelines — ElevenLabs offers problems that few other companies can match.

Work-Life Balance: The Honest Truth

This is where the picture gets complicated. ElevenLabs' Glassdoor work-life balance score of 3.6 out of 5.0 is below average for AI companies in our directory, and the qualitative reviews paint a consistent picture: this is a company where 60-hour weeks are not unusual, and the pressure to ship is relentless.

The remote-first setup provides location flexibility, but it does not translate to reduced working hours. If anything, the combination of distributed time zones and fast shipping cadence can make it harder to fully disconnect. When your colleagues in Europe are wrapping up their day and your US-based teammates are just getting started, the window for "off" time can shrink.

This is not a bug in ElevenLabs' culture — it's a feature. The company is in a fierce race with competitors like PlayHT, Cartesia, and well-funded labs at Google and Meta to own the AI audio space. Speed of execution is treated as a core competitive advantage, and the team prioritizes shipping over sustainability. For people who are energized by intensity and want to work on a product that is defining a category, this can be deeply motivating. For people who need clear boundaries between work and life, it's a serious concern.

The 3.6 WLB score places ElevenLabs in the bottom third of our directory. For comparison, Notion scores 4.2, Linear scores 4.4, and HubSpot scores 4.1. If work-life balance is your top priority, ElevenLabs is probably not the right fit. If you're willing to trade balance for impact and technical challenge during a critical growth phase, the trade-off may be worth it — but go in with your eyes open.

Glassdoor Ratings Breakdown

ElevenLabs' overall Glassdoor rating of 4.2 out of 5.0 is respectable — above average for the companies in our directory. The 78% "recommend to friend" rate and 82% CEO approval for Mati Staniszewski suggest that most employees, despite the intensity, believe in what the company is doing. Here's how the sub-categories break down:

The pattern tells a clear story: people at ElevenLabs rate the technology, the mission, and the leadership favorably, but the pace and intensity take a measurable toll. The gap between the overall rating (4.2) and the WLB score (3.6) is one of the widest in our directory — a signal that people believe in what they're building even as they acknowledge the cost of building it this fast.

Pros & Cons: The Unvarnished View

Based on Glassdoor reviews and employee accounts, here's the honest breakdown of what you're getting into.

The "leadership maturity" concern deserves attention. ElevenLabs has grown from a tiny startup to 600 people in roughly three years. That kind of scaling inevitably outpaces the development of management practices, career frameworks, and internal processes. Several reviewers note that while the founders are technically brilliant, the organizational infrastructure that supports a company of this size is still being built. This is a common growing pain at fast-scaling startups, but it's worth factoring into your decision — especially if you value structured career progression and clear performance feedback.

Compensation & Equity

ElevenLabs does not publish salary bands, and public compensation data is limited compared to more established companies. What we can say with confidence: the company is well-funded, competes aggressively for frontier AI talent, and offers equity that has appreciated significantly given the company's rapid valuation growth.

The remote-first model introduces compensation complexity. ElevenLabs hires across 30+ countries, which means compensation is likely adjusted by location — a standard practice for distributed companies. An engineer in San Francisco would expect different cash comp than an engineer in Warsaw or Lisbon, though equity grants may be more standardized. For candidates in lower-cost-of-living locations, the equity component is particularly interesting: you get the upside of a high-growth AI startup without the Bay Area rent.

The equity story is compelling. ElevenLabs has raised at increasing valuations as the AI voice market has expanded, and early employees are sitting on paper gains that could be substantial. Whether that equity converts to real value depends on the company's trajectory — but the market position is strong, and the product-market fit is genuine. For context on how ElevenLabs' comp compares to other AI companies, see our comparison tool.

Who Thrives at ElevenLabs

ElevenLabs is not for everyone, and the data makes that clear. Based on the culture values, Glassdoor patterns, and the company's own hiring signals, here's who tends to do well:

• Self-directed remote workers. If you do your best work independently, manage your own time well, and don't need an office to stay productive, the remote-first model is a genuine advantage. If you need in-person mentorship or social energy from coworkers, the distributed model will feel lonely.
• Engineers who want to push boundaries in AI audio. The technical problems at ElevenLabs are genuinely frontier-level. Real-time voice synthesis, cross-lingual emotion transfer, low-latency streaming — these are research-grade challenges being shipped to production. If that excites you, very few companies offer equivalent depth.
• People who thrive under intensity. The 3.6 WLB score is real. If you're energized by a fast pace and willing to put in the hours during a critical growth phase, ElevenLabs rewards that with outsized product impact and technical learning. If you need boundaries, this isn't your company.
• Global talent who can't or won't relocate. Unlike most frontier AI labs that cluster in San Francisco, ElevenLabs genuinely hires globally. If you're an exceptional ML engineer in Europe, South America, or Asia and don't want to uproot your life, ElevenLabs is one of the best options in the market.
• People who care about responsible AI. Voice synthesis raises real ethical questions — deepfakes, consent, misuse. ElevenLabs has invested in safety guardrails and voice verification systems. If you want to work on frontier AI and also care about building it responsibly, the company takes this seriously.

ElevenLabs is not ideal for people who prioritize work-life balance, need structured career progression, or prefer working at companies with mature management practices. The intensity is a feature, not a bug, for the right person — but it's a deal-breaker for many. If WLB is your top priority, consider companies like Notion, Linear, or PostHog instead.

Open Positions at ElevenLabs

ElevenLabs currently has 112 open positions listed on our platform, spanning research, engineering, product, and go-to-market roles. Given the remote-first model, most roles are open globally or across broad regional zones. If the voice AI space excites you and you can handle the pace, now is a strong time to apply — the company is still early enough that individual hires have outsized impact on the trajectory.

For full details on ElevenLabs' open roles, culture values, and side-by-side comparisons with other companies, visit the ElevenLabs culture profile page.