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ElevenLabs Names OpenAI's Ashley Kramer Its First Revenue Chief

ElevenLabs has appointed former OpenAI vice president Ashley Kramer as its first chief revenue officer, creating a sales leadership post as the AI voice startup pushes deeper into enterprise contracts.

James Holloway 6 min read
A woman with headphones speaks into a microphone in a modern podcast studio.

AI voice startup ElevenLabs has hired former OpenAI vice president Ashley Kramer as its first chief revenue officer, a role created to build corporate demand for its speech-synthesis tools.

ElevenLabs has hired Ashley Kramer, a former vice president at OpenAI, as its first chief revenue officer, filling a role the artificial intelligence voice company had not previously had. The appointment, reported by Bloomberg Technology, is aimed at building business demand for the company's AI speech tools.

The detail that matters is the word "first." ElevenLabs grew without a dedicated revenue chief, which tells you how it grew: through developers, hobbyists, creators and small studios who found the product, signed up for a subscription and started generating synthetic speech without ever speaking to a salesperson. Creating the post is a decision to stop relying on that alone.

Why a startup adds a revenue chief

A chief revenue officer sits above the separate functions that turn a product into contracted income: direct sales, partnerships, pricing, renewals and the customer-success teams that keep large accounts from churning. Companies that sell mostly self-service subscriptions can live without one. Companies that want multi-year commitments from banks, media groups, call-center operators and software vendors generally cannot.

The distinction is not cosmetic. Self-service revenue arrives in small increments and can disappear as quietly as it came. Enterprise revenue arrives in negotiated blocks, with security reviews, procurement cycles, indemnities over training data and service-level guarantees attached. That machinery has to be built deliberately, and it is usually built by someone hired to build it.

Kramer's background at OpenAI is the point of the hire. Whatever the specific remit, the experience being bought is that of commercialising generative AI inside a company whose products moved from novelty to enterprise line item at speed — and of explaining to corporate buyers what they are actually purchasing when they buy a model.

Voice is the AI category with the clearest buyer

Among generative AI applications, synthetic speech has an unusually legible business case. Dubbing and localisation replace studio time. Audiobook narration replaces recording sessions. Customer-service voice agents replace headcount or extend coverage hours. Accessibility features replace bespoke engineering. In each case a buyer can compare the AI cost against a line already in the budget, which is a far easier sale than asking a chief financial officer to fund an open-ended experiment.

That clarity is also why the category is crowded. Voice synthesis attracts the large model developers, who bundle speech into broader platforms, as well as specialist rivals selling on quality, latency or language coverage. A company whose distinctiveness rests on audio fidelity has to convert that lead into contracts before bundling erodes the premium. Hiring a revenue chief is one of the few visible signals that a private company is trying to do exactly that.

The unresolved questions around synthetic speech

Enterprise adoption of voice cloning carries risks that plain text generation does not. A synthesised voice can impersonate a real person, which raises consent questions with performers and rights holders, fraud questions for banks whose authentication systems once treated a caller's voice as proof of identity, and disclosure questions for broadcasters. Corporate buyers ask about all of it during procurement, and the answers form part of what a revenue organisation has to sell.

That is a further argument for professionalising the commercial function. Large customers do not sign because a demo sounds convincing; they sign after legal, security and compliance teams are satisfied. Building the apparatus to satisfy them is slow, expensive work that a founder-led sales effort tends to outgrow.

Private hiring against a soft public tape

Enterprise adoption of voice cloning carries risks that plain text generation does not.

The move lands while public technology valuations are wobbling. The Nasdaq 100 tracker QQQ closed at $707.64 in the most recent session on Sept. 1, down 1.27% from the prior close of $716.76, with a day range of $704.66 to $712.30. The S&P 500 tracker SPY finished at $761.78, off 0.69%, and the Dow tracker DIA at $527.75, down 0.72%. Tech-heavy exposure underperformed the broad market that day.

Private AI companies are not marked to those closes, but they are not insulated from them either. Late-stage funding terms, secondary sales and eventual listing windows all take their cue from how public investors price growth. When the tape softens, the questions asked of private AI businesses shift from how fast usage is expanding to how much of that usage is contracted, recurring and defensible. A named executive whose job is to answer that question is a useful thing to have.

What to watch from here

Several markers will show whether the appointment is working. The first is disclosed customers: named enterprise logos, particularly in regulated industries, indicate that security and legal objections are being cleared. The second is the shape of the team built beneath the new role — field sales, solutions engineering and partnerships hires would confirm an enterprise motion rather than a marketing reshuffle.

The third is distribution. Voice reaches most corporate buyers through someone else's software — contact-center platforms, video editors, learning systems. Reselling and embedding agreements often matter more than direct sales for a company of this profile.

The fourth is pricing architecture. A shift toward committed annual contracts and volume tiers, rather than pay-as-you-go character or minute pricing, would be the clearest evidence that the commercial model is being rebuilt around larger, longer customers.

None of that is visible from a single hire. But senior appointments are among the few disclosures a private company makes voluntarily, and this one says ElevenLabs believes its next phase of growth has to be sold rather than merely discovered.

Frequently asked questions

Who is joining ElevenLabs and in what role?

Ashley Kramer, a former vice president at OpenAI, has been hired as ElevenLabs' first chief revenue officer. The position did not exist at the company before. According to Bloomberg Technology, the appointment is part of an effort to generate business demand for ElevenLabs' artificial intelligence voice tools among corporate customers.

What does a chief revenue officer actually do?

A chief revenue officer oversees all the functions that convert a product into contracted income: direct sales, partnerships and channel deals, pricing, renewals and customer success. The role typically appears when a company wants to move beyond self-service subscriptions toward negotiated, multi-year enterprise agreements that require procurement, legal and security review.

Is ElevenLabs a publicly traded company?

No. ElevenLabs is a private company, so there is no exchange-listed stock and no ticker symbol associated with it. Investors cannot buy shares on a public market. Financial details such as revenue, customer counts and valuation are not disclosed through public filings the way they would be for a listed business.

Why is AI voice a competitive market?

Synthetic speech has a clear commercial use case — dubbing, audiobook narration, customer-service agents and accessibility features all replace existing budget lines. That clarity attracts both large model developers who bundle voice into broader platforms and specialist rivals competing on audio quality, latency and language coverage, compressing the premium available to any one provider.

What risks do enterprise buyers weigh with voice cloning?

Corporate buyers scrutinise consent from performers and rights holders, the potential for voice impersonation to defeat bank authentication systems, disclosure obligations for broadcast use, and the provenance of training data. These questions are handled during procurement, legal and security review, and the answers form a substantial part of what an enterprise sales organisation must be equipped to address.

How were markets trading around the announcement?

As of the last trade on Sept. 1, 2026, the Nasdaq 100 tracker QQQ closed at $707.64, down 1.27% from a prior close of $716.76. The S&P 500 tracker SPY closed at $761.78, down 0.69%, and the Dow tracker DIA closed at $527.75, down 0.72%. Tech exposure lagged the broad market.

Sources

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