ElevenLabs Opens Singapore Office With 25 Staff, Plans to Reach 100: Voice AI Is About to Reshape APAC Developer Hiring

Modern Singapore skyline representing AI tech expansion into Southeast Asia
Sebastian

Sebastian

Mobile App & Hiring Expert · October 21, 2026 · 13 min read

TL;DR

  • •The news: ElevenLabs opened its Singapore office on October 8, 2026 with 25 staff on the ground, naming Singapore as its official Southeast Asia hub. CEO Mati Staniszewski says the headcount could reach 100 in the next few years.
  • •The infrastructure: Singapore data residency launched in July 2026, offering enterprises local hosting, zero-retention options and SOC 2 compliance. ElevenLabs is training models in Singlish and regional languages.
  • •Singapore impact: Voice AI demand is exploding across fintech, e-commerce and customer service. Funding Societies and Atome are already using ElevenLabs for sales lead qualification and customer engagement. The talent pool for speech synthesis and conversational AI engineers is thin.

On October 8, 2026, ElevenLabs officially opened its Singapore office, putting 25 staff on the ground and naming the city-state as its Southeast Asia hub. The move follows three months of groundwork: Singapore data residency launched in July, enterprise customers are already live, and the company is training voice models in Singlish. For Singapore employers, this is the clearest signal yet that voice AI has moved from experimental feature to infrastructure, and the hiring war for speech and audio engineers is about to intensify across APAC.

What Happened: ElevenLabs Plants Its APAC Flag in Singapore

ElevenLabs, the voice AI company valued at over $3 billion following its January 2025 Series B, announced the opening of its Singapore office on October 8, 2026. CEO Mati Staniszewski confirmed that 25 people are already on the ground, working directly with enterprise customers across Southeast Asia. The headcount could reach 100 in the next few years, according to The Straits Times.

The Singapore team spans engineering, sales, GTM enablement and commercial counsel. Open roles listed on Built In Singapore as of mid-October include Account Executive for Southeast Asia, GTM Recruiter, B2B Marketing Mandarin Growth Lead and APAC Commercial Counsel, signalling that ElevenLabs is building a full go-to-market operation, not just a satellite engineering outpost.

The office launch was preceded by a significant infrastructure investment. In July 2026, ElevenLabs introduced Singapore data residency, allowing enterprises to host voice data on local infrastructure with zero-retention options and SOC 2 compliance. This means regulated industries, banking under MAS guidelines, healthcare, government, can use ElevenLabs voice AI without data leaving Singapore.

“Twenty-five of us are now on the ground, working alongside customers. Singapore is the natural base for everything we want to build across Southeast Asia and East Asia.”: ElevenLabs, via company announcement

đź’ˇ Our Expert Take

Infrastructure before headcount. That is the playbook ElevenLabs is running in Singapore, and it is the right one. By launching data residency three months before the office, they removed the single biggest objection enterprise buyers in regulated markets have: “where does our data go?” Now the sales conversations start with compliance already solved. Compare this with competitors who open offices first and spend six months retrofitting data sovereignty. ElevenLabs will close enterprise deals faster than any voice AI competitor in APAC this quarter.

Why Singapore: The Strategic Logic Behind the Location

ElevenLabs could have chosen Tokyo, Seoul or Sydney for its APAC hub. It chose Singapore, and the reasons are structural, not just about tax incentives.

Multilingual population. Singapore’s four official languages, English, Mandarin, Malay and Tamil, plus Singlish, make it the ideal testing ground for a voice AI company that needs to train models on Southeast Asian accents, tones and code-switching patterns. ElevenLabs has confirmed it is training models in Singlish, a deliberate signal that the company is building for the region, not just selling from the region.

Enterprise density. Singapore hosts the regional headquarters of over 7,000 multinational corporations. Banking (DBS, OCBC, UOB), logistics (Grab, GoTo), telecoms (Singtel, StarHub) and e-commerce (Shopee, Lazada) are all concentrated within a 15-kilometre radius. For a company selling enterprise voice AI, this is the highest-density opportunity in APAC.

AI policy alignment. Singapore’s National AI Strategy 2.0, combined with the AI Verify framework and the Model AI Governance Framework, gives enterprises a regulatory environment that encourages AI adoption while maintaining trust. MAS has been proactive about AI in financial services, publishing guidance on responsible AI use that makes it easier for banks to adopt voice AI for customer service and compliance.

Talent pipeline. NUS and NTU produce strong graduates in speech processing, natural language processing and machine learning. The AI Engineer Conference in Singapore (May 2026) drew 2,000 attendees, confirming the city’s status as an AI talent magnet. And Anthropic opened its own Singapore office at Tech Week 2026, further validating the market.

Why Singapore Wins as an APAC Voice AI HubFactor comparison across top APAC cities (score 1-10)AI Talent PipelineData SovereigntyEnterprise DensityMultilingual EdgeRegulatory Clarity9/10 SG10/10 SG9.5/10 SG10/10 SG8.5/10 SGSingaporeTokyo (comparison)

đź’ˇ Our Expert Take

The Singlish training is the detail that matters most. When a voice AI company says it will train models in a local creole, it is making a multi-year commitment to a market. Singlish is not just English with an accent; it has Hokkien, Malay and Tamil loanwords, unique grammar structures and tonal patterns that no general-purpose English model handles well. If ElevenLabs cracks Singlish, it cracks the template for every Southeast Asian language with code-switching: Manglish, Taglish, Hinglish. That is a billion-plus-person addressable market, and Singapore is where they are building the foundation.

Early Customers: Funding Societies and Atome Show What Enterprise Voice AI Looks Like

ElevenLabs did not arrive in Singapore empty-handed. Two high-profile local customers are already live.

Funding Societies, Southeast Asia’s largest SME digital lending platform, is using ElevenLabs’ conversational AI to qualify sales leads. Instead of a static chatbot, loan applicants interact with a voice agent that asks qualifying questions, assesses intent and routes high-quality leads to human salespeople. The result: faster qualification, lower cost per lead and a better borrower experience.

Atome, the Singapore-based buy-now-pay-later platform, uses ElevenLabs for customer engagement, including payment reminders, onboarding guidance and promotional messaging delivered by voice agents. For a company processing millions of transactions across Southeast Asia, voice automation at the customer engagement layer is a direct cost savings.

These are not proof-of-concept demos. They are production deployments by companies with millions of users. And they represent the two largest use cases for enterprise voice AI: sales automation and customer service automation. Every fintech, e-commerce platform and telco in Singapore is watching.

The Bigger Picture: Voice AI Investment Accelerates Across APAC

ElevenLabs is not the only AI company planting a flag in Singapore this year. Anthropic opened its Singapore office at Tech Week 2026. OpenAI launched an Applied AI Lab with a technical hiring initiative in May 2026. Applied Materials is expanding its Tampines facility with 1,000 new jobs. The pattern is unmistakable: global AI companies are treating Singapore as the gateway to the $9.3 billion Southeast Asian AI market.

Voice AI specifically has reached an inflection point. As we analysed in our coverage of why voice AI hasn’t had its ChatGPT moment yet, the technology is ready but adoption has been held back by data sovereignty concerns, latency issues and the difficulty of training models on non-English languages. ElevenLabs’ Singapore playbook, data residency first, local language training second, office third, directly addresses all three barriers.

FactorElevenLabsOpenAI (Whisper/TTS)Google Cloud TTSAmazon Polly
SG data residency✓ (July 2026)✗✓✓
Local office in SG✓ (Oct 2026)✓ (May 2026)✓✓
Singlish/SEA lang trainingâś“ (active)PartialPartialâś—
Conversational AI agentsâś“ (native)âś“ (Realtime API)Via DialogflowVia Lex
Voice cloning (enterprise)âś“ (market leader)âś—âś—âś—
Zero-retention option✓Enterprise only✓✓
SOC 2 compliant✓✓✓✓

đź’ˇ Our Expert Take

Voice cloning is the competitive moat that matters. Google, Amazon and OpenAI all offer text-to-speech, but none of them let enterprises create custom voices that sound like their brand. ElevenLabs does. For a Singaporean bank that wants its voice agent to sound consistent across English, Mandarin and Malay interactions, voice cloning is not a nice-to-have, it is the feature that closes the enterprise deal. This is why ElevenLabs is winning customers that have existing relationships with Google Cloud and AWS. The technology is genuinely differentiated, not just another wrapper around a foundation model.

APAC Voice AI Market Trajectory (2024-2028P)Estimated enterprise voice AI spending in US$ billions$12B$9B$6B$3B$0$1.2B2024$2.1B2025$4.3B2026$8.7B(P)2028PElevenLabs SG office

What This Means for Singapore Employers

ElevenLabs landing in Singapore creates three immediate pressures on the local hiring market.

1. Direct talent competition

ElevenLabs is hiring speech synthesis engineers, conversational AI developers, GTM roles and commercial counsel in Singapore. Every company in Singapore that is building or buying voice AI will now compete with a well-funded, high-profile AI company for the same talent. The roles listed on Built In Singapore span technical, commercial and legal functions, meaning ElevenLabs is not poaching from one discipline but drawing from multiple talent pools simultaneously.

2. Salary pressure in speech and audio ML

Voice AI engineering sits at the intersection of signal processing, deep learning and linguistics. The number of engineers in Singapore who can build production-grade speech synthesis or conversational AI systems is small, probably fewer than 200 with deep expertise. When a company with a $3 billion-plus valuation starts hiring from that pool, salaries move. Expect 20-30% premium increases for senior voice engineers in Singapore over the next two quarters.

3. Demand validation for voice AI products

The Funding Societies and Atome use cases, sales lead qualification and customer engagement, are replicable across every fintech, e-commerce and telecom company in Singapore. Once one company demonstrates ROI from voice AI, its competitors follow within 12-18 months. DBS, Grab, Shopee, Singtel, they are all watching these deployments. The wave of enterprise voice AI projects that follows will require teams of voice engineers that most Singapore employers do not have today.

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Four Voice AI Roles Singapore Employers Should Hire Now

Based on the ElevenLabs product stack and the use cases deployed in Singapore, here are the four roles that will see the most demand over the next 12 months.

1. Speech Synthesis Engineer. Builds and fine-tunes text-to-speech models for Asian languages. Needs expertise in neural TTS architectures (Tacotron, VITS, VALL-E derivatives), audio signal processing and phoneme modelling for tonal languages. This is the hardest role to fill in Singapore because the skill set combines deep learning with linguistic domain knowledge.

2. Conversational AI Engineer. Designs multi-turn voice dialogue systems that handle interruptions, context switching and emotional tone. Must understand both the voice layer (ASR, TTS) and the language layer (LLM orchestration, intent classification, slot filling). Funding Societies’ use case, lead qualification, is a classic application.

3. Audio ML Infrastructure Engineer. Builds the data pipelines, training infrastructure and serving systems that make voice models run at production scale. This role is more ML platform engineering than research: Kubernetes, GPU orchestration, streaming inference, monitoring. It is the role that turns a voice model from a demo into a product.

4. Voice UX Designer. Creates natural, culturally appropriate voice interactions for Southeast Asian markets. This is not a traditional UX role; it requires understanding of conversation design, prosody, cultural communication norms and accessibility. A voice agent that sounds natural in American English but awkward in Singlish will fail in Singapore.

Which Voice AI Role Should You Hire First?Decision tree for Singapore employersDo you have voice models?NoHire Speech Synthesis EngYesCan they handle dialogues?NoHire Conversational AI EngYesScaling issues?YesHire Audio ML Infra EngNoVoice UXFoundation: build TTS for SEA languagesMulti-turn dialogue + context switchingPipelines, GPU infra, streamingCultural UX

What Happens Next: Three Predictions for Voice AI in Singapore

Prediction 1: At least two Singapore banks will deploy voice AI agents for customer service by Q2 2027. DBS has been piloting conversational AI across multiple channels. OCBC and UOB have been more cautious. With data residency solved and production use cases proven at Funding Societies, the compliance objection is gone. The question is no longer “should we?” but “which vendor?”

Prediction 2: Voice engineer salaries in Singapore will rise 25-35% by mid-2027. The supply is constrained, fewer than 200 deep specialists, and the demand is about to spike from ElevenLabs, Anthropic, OpenAI, and every enterprise customer they sign. If you are a Singapore employer who will need voice engineers in 2027, the cheapest time to hire them is right now.

Prediction 3: Singlish will become a benchmark language for multilingual voice AI. The combination of English base, multiple loanword systems (Hokkien, Malay, Tamil), tonal markers and code-switching makes Singlish one of the hardest languages for TTS and ASR. If ElevenLabs cracks it, their models will generalise to other Southeast Asian creoles, Manglish, Taglish, Indonesian-English, far more effectively than models trained only on clean English. Singapore becomes the R&D centre for multilingual voice AI in Asia.

đź’ˇ Our Expert Take

The real prize is not Singapore. It is Indonesia, Vietnam, Thailand and the Philippines. Those four countries have a combined population of 700 million people, massive mobile-first economies, and customer service costs that make voice AI ROI obvious. But you cannot build voice AI for those markets without solving the multilingual, code-switching, tonal-language problem first. ElevenLabs is solving that problem in Singapore, with Singapore data, Singapore customers and Singapore engineers. The companies that partner with ElevenLabs now get first-mover advantage when the technology expands across Southeast Asia. The companies that wait will pay more for worse talent and lose market share to competitors who moved faster.

Frequently Asked Questions

Why did ElevenLabs choose Singapore for its Southeast Asia hub?

ElevenLabs chose Singapore for its data sovereignty regulations, enterprise density (7,000+ MNC regional headquarters), multilingual population (English, Mandarin, Malay, Tamil plus Singlish), AI-friendly government policies (National AI Strategy 2.0, AI Verify), and strong talent pipeline from NUS and NTU. The combination of regulatory clarity and market access makes Singapore the optimal base for selling enterprise voice AI across APAC.

How many people work at ElevenLabs Singapore?

As of October 2026, ElevenLabs has 25 staff on the ground in Singapore. CEO Mati Staniszewski has indicated the headcount could reach 100 in the next few years. Open roles include Account Executive, GTM Recruiter, B2B Marketing Mandarin Growth Lead, APAC Commercial Counsel and engineering positions.

What is Singapore data residency and why does it matter for voice AI?

Singapore data residency means enterprise voice data is hosted on infrastructure located in Singapore and never leaves the country. ElevenLabs launched this in July 2026 with zero-retention options and SOC 2 compliance. For regulated industries such as banking (MAS guidelines), healthcare and government, data residency removes the primary compliance objection to adopting cloud-based voice AI. It also reduces latency for customers across Southeast Asia and East Asia.

How will ElevenLabs Singapore affect voice AI hiring in the region?

ElevenLabs creates direct talent competition for speech synthesis engineers, conversational AI developers, audio ML infrastructure engineers and voice UX designers. The pool of deep voice AI specialists in Singapore is small, probably under 200, and salaries are expected to rise 20-30% in the next two quarters. Singapore employers who need voice AI talent should start sourcing now, before ElevenLabs, Anthropic, OpenAI and enterprise customers intensify competition for the same candidates.

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Sources: The Straits Times, Built In Singapore, ElevenLabs official blog. Salary projections and market size estimates are editorial assessments based on publicly available data and should not be taken as financial advice.