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11Labs operates without product managers, embeds engineers in every department instead

All-In Podcast · The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour · July 14, 2026
11Labs operates without product managers, embeds engineers in every department instead
All-In Podcast
All-In Podcast
The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour
"We don't have any PMs. Never did. We thought ideal person in that role can code, can understand the customer, can understand design. Of course that's very hard to find. So we optimize for profiles that are experts in at least one of those fields but understand at least one other field really well. We embedded engineers in every place and even in the places which aren't engineering. So our talent team will have an engineer, our legal team will have an engineer."
11Labs has scaled to 600 employees and $600M ARR without hiring any product managers, instead embedding engineers across all departments including talent, legal, and go-to-market teams. These embedded engineers serve dual roles: creating automations and ensuring secure AI adoption across the organization. The CEO argues AI tools now enable individuals to be proficient across multiple domains, eliminating the traditional need for PMs to coordinate between specialists.

About this episode

In a revealing conversation at an industry event, 11Labs CEO Mati Staniszewski disclosed that his three-year-old voice AI company has reached $600 million in annual recurring revenue, marking one of the fastest enterprise software growth trajectories on record. The company, which launched its human-sounding text-to-speech model in early 2023, accelerated from $100M ARR in 20 months to $600M today, now employing 600 people. Staniszewski revealed the company operates without any product managers, instead embedding engineers across all departments to drive automation and ensure secure AI adoption. He also disclosed that 11Labs has paid over $22 million to voice actors through its marketplace, where creators can license their voices for AI generation. In financial services applications, the CEO noted that customers are significantly more willing to disclose personal financial difficulties to AI agents than humans due to reduced shame and social embarrassment. The conversation also featured Max, CEO of legal AI platform Legora, who revealed his company has sustained 50% quarter-over-quarter growth for seven straight quarters, recently becoming one of the fastest enterprise companies to scale from $1M to $150M ARR. Max explained that the trillion-dollar legal services industry is 96% manual services and only 4% software, creating massive opportunity for AI disruption. He shared that Legora conducts M&A diligence in-house using its own tools, completing transactions in as little as 12 days from LOI to close. Both executives discussed competition from frontier AI labs, with Staniszewski noting 11Labs continues to outcompete OpenAI and Anthropic on voice-specific models through architectural innovation and specialized data labeling. Max argued that fine-tuning general models is wasteful, favoring narrow models for specific high-volume use cases while leaving general intelligence to the frontier labs.

Key takeaways

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