Enterprise Account Manager Lead
About the job
- At least 8 years of experience in account management, customer success, or post-sales roles within SaaS, with meaningful focus on Enterprise accounts.
- A proven track record of owning and exceeding revenue targets, with commercial instinct and an expansion mindset.
- At least 3 years of direct people leadership experience managing senior account managers or customer success managers, driving team quota, and developing talent through coaching and enablement.
- Daily use of AI tools, understanding of AI agents and automation, and readiness to lead a team through changes in how work is designed and executed.
- A player-coach mindset and comfort managing key accounts directly while leading others in their portfolios.
- Demonstrated success achieving or exceeding renewal, expansion, and net revenue retention goals through customer engagement and strategic account management.
- Expertise in post-sales methodologies and best practices, including success planning, adoption frameworks, return-on-investment storytelling, and executive alignment.
- Strategic operational thinking and sound decision-making around playbook design, segment structure, and cross-sell motions as the business scales.
- Strong analytical and operational skills, including using data to identify performance trends, optimize workflows, and forecast outcomes.
- Ability to operate between GMT-4 and GMT-7 time zones.
- Lead, coach, and develop a high-performing Enterprise Account Management team, owning team quota performance, customer retention, and expansion goals.
- Directly manage priority accounts, participate in key customer conversations, and model best-in-class customer success practices as a player-coach.
- Drive revenue outcomes by building a team culture that owns cross-sells and account growth with the rigor of a quota-carrying sales function.
- Lead complex post-sales and renewal cycles, unblock issues, drive adoption, and identify expansion opportunities.
- Set the team's strategic direction, including the Enterprise post-sales playbook's segmentation and structure as the business scales, and position ElevenAgents as the agent of choice across the Enterprise portfolio.
- Design and implement repeatable playbooks for renewals, upsells, and adoption, embedding AI agents and automation into workflows to scale team impact.
- Champion AI fluency across the team by setting expectations, building capability, and fostering experimentation with AI-powered work approaches.
- Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums.
- Represent the voice of the customer in leadership discussions and influence roadmap, operations, and revenue strategies.
- Hands-on experience with ElevenLabs, Salesforce, Gong, or Sigma, and ability to improve data quality, visibility, and usage insights across the team.
About the company
ElevenLabs builds AI-powered audio tools for speech, conversation, and creative audio used by enterprises and creators. It offers three platforms: ElevenAgents for enterprise voice and chat agents, ElevenCreative for multichannel audio localization, and ElevenAPI for low-latency voice infrastructure. The products rely on AI voice models to generate and process speech, with each platform serving its own use case—conversational agents, localization pipelines, and fast API-based voice processing. The company differentiates itself with an integrated suite that combines enterprise-grade agents, global audio localization, and developer-friendly, low-latency infrastructure, backed by strong funding and partnerships to scale research and go-to-market internationally.
Company Size
1,001-5,000
Company Stage
Private
Total Funding
$1.3B
Headquarters
London, United Kingdom
Founded
2022
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Simplify's Take
What believers are saying
- September 29, 2026 placed ElevenAgents on the OpenAI Marketplace, widening distribution.
- September 28 v4 Turbo hit roughly 100ms median latency, improving live-agent responsiveness.
- February 2026 Series D and reported $600 million ARR support aggressive hiring.
What critics are saying
- May 2026 Amer v. Eleven Labs alleges biometric consent failures under Illinois BIPA.
- Google, OpenAI, Cartesia, and Deepgram compress ElevenLabs pricing and quality moat.
- A 2026 injunction on voice-clone training would cripple core models.
What makes ElevenLabs unique
- September 2026 v4 and v4 Turbo ranked #1 at Artificial Analysis.
- September 10, 2026 UMG licensing deal gives ElevenLabs rare major-label music rights.
- ElevenAgents, ElevenCreative, and ElevenAPI bundle agents, localization, and low-latency infrastructure.
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Benefits
Remote Work Options
Flexible Work Hours
Professional Development Budget
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↓ -1%2 year growth
↑ 0%AI voice startup ElevenLabs has doubled its valuation to $22 billion, up from $11 billion in its previous funding round. The company develops voice-generation technology for applications including speech and voice agents. The significant valuation increase reflects growing investor interest in AI voice technology. ElevenLabs' platform enables the creation of synthetic voices for various commercial and consumer applications. The funding details and investor participation were not disclosed. The valuation jump positions ElevenLabs among the most highly valued AI startups in the voice technology sector.
We just closed an employee tender offer which values ElevenLabs at $22BN, up 2x from our Series D in February. The tender was led by Wellington and T. Rowe Price, and the growth is driven by demand from enterprises to deploy ElevenAgents across sales, support, and operations. In 2022, we raised our first round at a $9 million valuation, which we announced alongside Eleven v1, our first Text to Speech model, and the first model to generate human-level speech. Four years later, as we reach our new valuation, we just released two new state-of-the-art Text to Speech models. Eleven v4 and v4 Turbo are our fastest and most emotive models yet, and are leading independent benchmarks. Alongside models, we have built a full interaction platform for AI. It allows organizations to deploy conversational agents, connected to their knowledge and systems, that interact naturally in any industry, geography, or context. This shift is driving much of our growth, with enterprise now accounting for 55% of our revenue, as businesses adopt ElevenAgents to support their customers and employees. Our technology is now used in daily operations at five of the world’s ten largest tech companies, five of the ten largest insurers, and four of the ten largest telecoms. The round was co-led by Wellington Management and T. Rowe Price, along with participation from Goldman Sachs, GIC, Ontario Teachers' Pension Plan, EQT Group, Sapphire Ventures, and BDT & MSD Partners. And grateful for ongoing support from existing investors including Andreessen Horowitz, Alkeon Capital, The D. E. Shaw Group, Disruptive, Evantic Capital, ICONIQ, and Lightspeed. Most of all, this round is for the team that built the last four years. We're just getting started! | 89 comments on LinkedIn
ElevenLabs ships v4 voice models, ranked No. 1 by Artificial Analysis. The new models add performance controls and a real-time version; a two-week introductory API offer starts at $22 per million characters. Listen to article. 4 min 16 sec ElevenLabs co-founders Mati Staniszewski (@mati) and Piotr Dabkowski (@dabkowski_piotr) have released Eleven v4 and Eleven v4 Turbo, a pair of speech-generation models built to make AI voices easier to direct and faster to use in live conversations. The company announced the models in a September 28th post on X, saying they are available through ElevenAgents, ElevenCreative and ElevenAPI. Introducing Eleven v4 and Eleven v4 Turbo, its fastest and most emotive voice models yet. Ranked #1 by Artificial Analysis. The launch splits one product bet across two kinds of work. Eleven v4 targets creators making dialogue, narration and character performances, with inline directions for emotion, pacing, reactions and sound effects. The Turbo variant is aimed at real-time conversations. ElevenLabs says Turbo has a median inference latency of about 100 milliseconds, a company-reported figure that matters most in applications where pauses can make a voice agent feel unresponsive. The release also puts a measurable claim behind ElevenLabs' quality pitch. Artificial Analysis' Provider Voice Arena leaderboard lists Eleven v4 at No. 1, with an Elo score of 1,319 from 1,674 samples. That is evidence of a leading result in that specific comparison, not a universal measure of voice quality: the leaderboard compares models using each provider's native voices, and listeners may value qualities beyond the arena's ranking. ElevenLabs' post cites the ranking without spelling out the methodology. Staniszewski and Dabkowski started ElevenLabs in 2022. Dabkowski previously worked on machine learning at Google and now leads research and engineering at the company; Staniszewski is CEO. Their original focus on generated speech has grown into products for creators, developers and enterprise voice agents. A February Series D announcement valued ElevenLabs at $11 billion after a $500 million round led by Sequoia Capital, with Andreessen Horowitz and ICONIQ among the significant follow-on investors. ElevenLabs said in May that it had exceeded $500 million in annual recurring revenue during the first four months of 2026; that is a company-reported run rate, not audited revenue. That commercial footprint gives the model launch a practical test: can better-controlled speech make automated conversations sound natural enough for customer-facing work, while staying responsive? ElevenLabs is positioning v4 Turbo for support, sales and scheduling agents, while the standard v4 model reaches creator workflows. The same underlying voice technology can therefore serve both applications, and the company is packaging it across its own tools and developer API. There is a detail buyers should check before building a workflow around the launch copy. The X thread says Instant Voice Clones can capture a voice from 10 seconds of audio. ElevenLabs' v4 documentation says an Instant Voice Clone generally uses a sample of one to two minutes. The discrepancy makes the 10-second claim worth treating as a best-case claim until users test it with their own recordings. The documentation also says v4 handles cross-language cloning differently: when generated speech is in a different language from the source recording, the model aims for a fluent target-language accent rather than retaining the source speaker's accent by default. ElevenLabs says v4 supports more than 90 languages, including Cantonese, Mongolian and Odia, and adds International Phonetic Alphabet support for pronunciation control. The API launch offer runs for two weeks: Eleven v4 at $22 per million characters and Turbo at $11 per million characters. ElevenLabs also says v4 is included at no additional cost for eligible Creator+ plans, subject to monthly credit limits. The promotional pricing and broad availability make this a product launch as much as a model release. ElevenLabs is lowering the barrier for developers to try the new voices while steering customers toward its own creative and agent products. Whether the improved expressiveness holds up across languages, voices and extended conversations will determine how much the leaderboard position translates into production use. RuntimeWire, Inc. get virtually zero search traffic. Please consider sharing this story. Signal check Noise Signal Where does this story land? Drag the dial. The startup AI voice, audio, creative, and conversational agent technology for enterprises, creators, and developers. ElevenLabs builds foundational AI models and products for speech, audio, creative production, and conversational agents. Its offerings include ElevenCreative for generating and editing speech, videos, music, and sound effects; ElevenAgents for deploying and monitoring conversational agents across phone, chat, email, and WhatsApp; and ElevenAPI for text to speech, speech to text, and music generation. Its voice technology supports 70+ languages, while its text-to-speech APIs offer models optimized for latency, consistency, and emotional control. The company says it powers enterprises and creators including Twilio, The Walt Disney Studios, KPN, Telus, Cisco, Epic Games, NVIDIA, Revolut, Meta, Zoom, Ramp, IBM, Deutsche Telekom, Klarna, and Salesforce. Named use cases include multilingual marketing content for NVIDIA, product localization for Clay, customer support for Meesho, rider and restaurant experiences for Deliveroo, and voice-driven car retail for Cars24. Investors. Matthew McConaughey Generate realistic audio dialogues using Eleven-v3 from ElevenLabs. Eleven v4. Eleven v4 Turbo. ElevenLabs. Modalities. Stay on the wire. Breaking startup & AI news, funding scoops, and launches as they happen. Follow @runtimewire on Threads and LinkedIn. Free forever - no credit card, no nagging.
ElevenLabs new v4 speech model supports more expression control and 90 languages. ElevenLabs v4 can clone voices with a 10 second clip ElevenLabs launched two new speech models on Monday, called ElevenLabs v4 and v4 Turbo, offering more expression control, lower latency for voice agents, and support for more than 90 languages. The company released its v3 model last year, and teased the model at an event in Warsaw earlier this year. For the v4 generation of models, ElevenLabs is adopting a new architecture that allows for better control and faster cloning. The company said that with v4, users will be able to clone a voice with just 10 seconds of audio. On the creative side, the model handles voice identity better over longer chunks of text. It also keeps the context of the text in mind while reading it aloud to change expressions. ElevenLabs introduced inline tags to define expression with v3, and is expanding those tags in v4, letting users stack multiple tags and having the model follow the sequence. The previous version supported 70 languages, and ElevenLabs has worked to get that number up to 90 languages with the new version. The startup said that it observed the biggest quality jump in Japanese, Brazilian Portuguese, Mandarin and Cantonese. ElevenLabs has scaled its enterprise calling business rapidly over the last year, with more than 55% of its business coming from large companies. The company said that the new model is suited for voice agents, as the new version has lower latency to allow for more fluid conversation. Plus, the v4 can start generating audio as soon as the LLM behind it starts generating answers. What's more, the model can also handle confrontations, escalations, and holds differently for better issue resolution. Competition in speech models has ramped up as startups like Cartesia, Deepgram, Fish Audio, Boson, and WellSaid Labs have created expressive speech models. Big companies like Google and OpenAI have also improved their voice models. ElevenLabs raised $500 million earlier this year from Sequoia earlier this year, in a round led by Sequoia that valued the company at $11 billion. There are already rumors of a followup fundraising round that would value the company at $22 billion. ElevenLabs annualized revenue run rate has climbed from roughly $330 million at the start of the year to over $600 million. The company has aggressively hired personnel in different markets such as India, Europe, and Brazil, as its headcount has reached over 800. In a recent interview with TechCrunch, the company's co-founder and CEO Mati Staniszewski said that the company is aiming for an IPO "in the next years," but didn't commit to a timeline.
ElevenLabs launched two new speech models on Monday: ElevenLabs v4 and v4 Turbo. The models offer enhanced expression control, support for over 90 languages, and lower latency for voice agents. The v4 generation uses a new architecture enabling faster voice cloning with just 10 seconds of audio. The model maintains voice identity better over longer text and adjusts expressions based on context. Users can now stack multiple expression tags for more nuanced control. Language support expanded from 70 to 90 languages, with significant quality improvements in Japanese, Brazilian Portuguese, Mandarin, and Cantonese. The model can begin generating audio immediately as the underlying language model starts producing responses. Enterprise calling now comprises over 55% of ElevenLabs' business. The company's annualised revenue has grown from roughly $330 million at year-start to over $600 million, with headcount exceeding 800 employees.