Full-Time
Partner Success Engineer
Infrastructure
Deepgram
201-500 employees
APIs for fast, scalable speech transcription
Compensation Overview
$195k - $235k/yr
Remote in USA + 1 more
More locations: California, USA
Remote
Travel to partner sites and events is required as needed.
 Growth & Marketing (1) |
|---|
Get referred to Deepgram
See people who can refer or advise you
- Significant experience in technical, customer-facing roles such as technical account management, sales, solutions or deployment engineering, partner or enterprise customer success with a strong technical focus, implementation, or support, ideally at API-driven, developer-first, infrastructure, or artificial intelligence companies; for most candidates this is roughly seven or more years.
- A track record combining partner or customer ownership with technical depth in solution and deployment design, hands-on troubleshooting, and commercial growth.
- Hands-on experience leading demos, proof-of-concepts, or technical workshops with enterprise partners or customers.
- Fluency discussing application programming interfaces, integrations, and developer workflows, including troubleshooting Level 1 issues without coding.
- Working knowledge of deployment and infrastructure, including containers and orchestration with Docker, Kubernetes, and Helm; inference on graphics processing units and other accelerators; and trade-offs across self-hosted, on-premises, air-gapped, dedicated, and edge or on-device deployments.
- Understanding of basic latency, throughput, and benchmarking concepts.
- Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
- Strong understanding of partner ecosystems and channel business models, including resale, referral, integrations, co-marketing, co-selling, and multi-party commercial dynamics.
- Experience engaging technical stakeholders such as developers, platform and machine learning engineers, and architects, as well as executive buyers such as chief information officers, chief technology officers, and vice presidents of engineering.
- Experience building a tool, agent, script, or workflow that permanently eliminated recurring work; the application must describe what it was, what it replaced, and what it continues to do.
- An AI-native operating model with specific workflows that structurally depend on artificial intelligence and an explanation of how those workflows would be rebuilt if the tools disappeared.
- Serve as the technical advisor and strategic owner for a portfolio of strategic infrastructure partners, engaging developers, platform and machine learning engineers, chief information officers, and chief technology officers.
- Own the full partner lifecycle, including onboarding, adoption, technical enablement, expansion, and advocacy.
- Drive joint adoption through live demonstrations, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations across partner environments, hardware, and platforms.
- Lead joint technical validation by scoping and running proof-of-concepts and evaluations that demonstrate Deepgram models on partner infrastructure across self-hosted, on-premises, air-gapped, dedicated, and on-device or edge deployments, including security-sensitive and regulated use cases.
- Continuously conduct discovery, surface partner problems, understand their business impact, and translate them into actionable product and engineering requirements.
- Identify and scope cross-sell, upsell, multi-product, and co-sell expansion with Sales, and activate original equipment manufacturer, distributor, marketplace, and cloud or inference-provider channels to reach their customer bases.
- Lead executive business reviews and joint planning sessions.
- Support joint go-to-market and co-marketing with Marketing through joint blog posts, one-pagers, public relations, and live demonstrations at partner events and industry conferences.
- Act as the voice of the partner internally by influencing the roadmap, go-to-market strategy, and partner-support tools, especially for deployment, self-hosted, security, and edge capabilities.
- Track adoption, usage, health, and expansion to drive outcomes, and travel to partner sites and events as needed.
- Operate AI-first by default and build tools, agents, and workflows that eliminate recurring work for the individual and the broader team.
- Experience in machine learning, voice artificial intelligence, cloud infrastructure, or developer-first technologies.
- Familiarity with graphics processing unit and accelerator infrastructure and inference optimization, including quantization, model serving, throughput and latency tuning, or benchmarking.
- Exposure to confidential computing, trusted execution environments, model or weight security, or deployments in regulated industries.
- Experience with on-device or edge AI deployment across central processing unit, graphics processing unit, and neural processing unit targets, model catalogs, or hardware optimization toolchains.
- Telephony, contact center as a service, or communications platform as a service background, including ecosystems such as Twilio or Genesys.
- A background spanning solutions or deployment engineering, technical account management, or Level 1 support alongside customer success or partner responsibilities.
- Familiarity with channel or partner marketing, enablement programs, or technical enablement asset creation.
- Working fluency with automation, scripting, or agent-building using Python, TypeScript, workflow tools, agent frameworks, or equivalent.
Deepgram provides AI-powered speech recognition APIs that developers can integrate into their apps to transcribe and understand audio content. Its APIs process audio data to produce transcripts and extract insights, offering fast, accurate, scalable, and cost-effective transcription for users ranging from startups to large enterprises (including NASA) with large daily audio volumes. The product works by sending audio to Deepgram’s cloud API, where the service returns text and other understanding signals; customers pay based on the amount of audio processed (pay-per-use), allowing revenue to grow with usage. Compared with competitors, Deepgram emphasizes reliable performance at scale, enterprise-friendly support, and a simple API-based model rather than on-premises or heavy client-side processing. The company’s goal is to enable organizations to turn large amounts of audio into usable text and insights easily and affordably by providing a scalable API platform for speech recognition.
Company Size
201-500
Company Stage
Series C
Total Funding
$233.3M
Headquarters
San Francisco, California
Founded
2015
Get referred to Deepgram
See people who can refer or advise you
Simplify's Take
What believers are saying
- Deepgram said on August 18, 2026, APAC API requests grew 96% year-over-year.
- Flux TTS launched generally available, with 80-millisecond response times and customers like IBM.
- Deepgram crossed $100 million ARR and serves 200,000 developers across 1,400 organizations.
What critics are saying
- Tesseract Systems sued Deepgram for patent infringement on May 27, 2026, in Delaware.
- OpenAI Realtime, Google, ElevenLabs, and Dasha compress Deepgram's component-margin differentiation.
- If enterprises standardize on bundled voice stacks, Deepgram becomes a replaceable API layer.
What makes Deepgram unique
- Deepgram spans STT, TTS, and STS with cloud, VPC, self-hosted, on-prem deployment.
- Its Nova-3 and Flux models target low-latency enterprise voice workflows, not demos.
- APAC expansion with Sriram Ved and Singapore HQ deepens regional language and compliance coverage.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -1%2 year growth
↓ -5%Voice AI infrastructure leader Deepgram to establish APAC headquarters in Singapore following strategic investment from EDBI. Deepgram to deepen support across APAC, where it serves customers in more than 20 markets; names former Salesforce leader Sriram Ved to lead the region. Aug 18, 2026 Prev Next 1 of 43,493 Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, announced plans to establish its Asia-Pacific headquarters in Singapore, deepening its commitment to a region where the company is already seeing strong demand for production-grade Voice AI. Deepgram has appointed Sriram Ved as Vice President and General Manager for APAC who will lead the company's regional strategy and oversee its customer, partner, and go-to-market expansion. Deepgram saw a 96% year-over-year increase in API requests across APAC and serves customers across more than 20 markets in the region, including Australia, China, Hong Kong, India, Indonesia, Japan, Singapore, South Korea, Thailand, and Vietnam. From Singapore, the company plans to bring regional leadership, customer support, partnerships, and commercial operations closer to customers across the region, build on its existing speech-to-text expertise and support across Asian languages, and expand its low-latency inference footprint. The move follows a strategic investment from EDBI, an arm of SG Growth Capital, the investment platform of EDB and Enterprise Singapore, as part of an extension to Deepgram's US$130 million Series C funding. EDBI will also support Deepgram as it establishes a presence in Singapore and builds commercial relationships and regional operations across APAC. Companies are moving Voice AI into high-volume, customer-facing operations spanning contact centers, financial services, healthcare, telecommunications, and commerce in APAC. As deployments scale, enterprises need infrastructure that can perform reliably across languages, accents, and noisy environments while meeting strict requirements for latency, cost, privacy, and data control. Deepgram plans to deepen its regional investment in three core areas: * Customer and partner support: Expand its regional leadership, customer support, partnerships, and commercial operations, bringing these teams and capabilities closer to customers across APAC. * Asian-language capabilities: Build on Deepgram's existing speech-to-text support for all four of Singapore's official languages: English, Mandarin Chinese, Malay, and Tamil, while deepening its expertise in Asian languages, accents, and speech patterns, including multilingual interactions, code-switching, and specialized terminology. Deepgram's broader speech-to-text portfolio currently supports Japanese, Hindi, Thai, Cantonese, and several Indic languages and regional variants. * Low-latency, flexible deployment: Work toward a broader low-latency inference footprint across APAC while continuing to offer cloud, virtual private cloud, self-hosted, and on-premises deployments that help enterprises meet regional requirements around privacy, data control, and data residency. "APAC is one of the most promising markets for Voice AI right now," said Scott Stephenson, CEO and co-founder of Deepgram. "You have huge demand, incredible linguistic diversity, and companies moving quickly from experimenting with AI to putting it into production. Singapore puts us closer to the customers and partners building that future, and gives us a strong base to help make Voice AI work across the complexity of the region." "Voice AI is already live in production across APAC, from contact centers and financial services to healthcare and telecommunications," said Sriram Ved, Vice President and General Manager for APAC at Deepgram. "We're also seeing a new generation of AI companies building for the region and turning to Deepgram for the voice infrastructure underneath their products. They need technology that works where real conversations happen: across noise, accents, languages, and massive volumes, without sacrificing speed or reliability. That's what Deepgram was built to do." EDBI invests in global companies that drive the development of innovative solutions, create good jobs, and contribute to Singapore's long-term economic resilience. Its investment in Deepgram reflects a shared ambition to build advanced AI capabilities from Singapore while supporting the company's growth across APAC. "Voice AI is becoming critical infrastructure for enterprises across Asia. The companies developing these technologies need to be close to the markets, languages, and deployment realities they serve. Deepgram's decision to anchor its APAC headquarters here reflects a long-term commitment to building from Singapore. At EDBI, we partner with companies like Deepgram to establish and scale meaningful capabilities here, and we look forward to its continued contribution to Singapore's AI ecosystem," said Yeung Chia Li, Senior Partner at EDBI. Globally, Deepgram powers more than 200,000 developers and 1,400 organizations. Its platform has processed more than 50,000 years of audio and transcribed more than one trillion words.
Voice AI infrastructure leader Deepgram to establish APAC headquarters in Singapore following strategic investment from EDBI. * admin@cb26 * August 18, 2026 * 0 Comments * 41 Views Business Wire India Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, announced plans to establish its Asia-Pacific headquarters in Singapore, deepening its commitment to a region where the company is already seeing strong demand for production-grade Voice AI. Deepgram has appointed Sriram Ved as Vice President and General Manager for APAC who will lead the company's regional strategy and oversee its customer, partner, and go-to-market expansion. Deepgram saw a 96% year-over-year increase in API requests across APAC and today serves customers across more than 20 markets in the region, including Australia, China, Hong Kong, India, Indonesia, Japan, Singapore, South Korea, Thailand, and Vietnam. From Singapore, the company plans to bring regional leadership, customer support, partnerships, and commercial operations closer to customers across the region, build on its existing speech-to-text expertise and support across Asian languages, and expand its low-latency inference footprint. The move follows a strategic investment from EDBI, an arm of SG Growth Capital, the investment platform of EDB and Enterprise Singapore, as part of an extension to Deepgram's US$130 million Series C funding. EDBI will also support Deepgram as it establishes a presence in Singapore and builds commercial relationships and regional operations across APAC. Companies are moving Voice AI into high-volume, customer-facing operations spanning contact centers, financial services, healthcare, telecommunications, and commerce in APAC. As deployments scale, enterprises need infrastructure that can perform reliably across languages, accents, and noisy environments while meeting strict requirements for latency, cost, privacy, and data control. Deepgram plans to deepen its regional investment in three core areas: * Customer and partner support: Expand its regional leadership, customer support, partnerships, and commercial operations, bringing these teams and capabilities closer to customers across APAC. * Asian-language capabilities: Build on Deepgram's existing speech-to-text support for all four of Singapore's official languages: English, Mandarin Chinese, Malay, and Tamil, while deepening its expertise in Asian languages, accents, and speech patterns, including multilingual interactions, code-switching, and specialized terminology. Deepgram's broader speech-to-text portfolio currently supports Japanese, Hindi, Thai, Cantonese, and several Indic languages and regional variants. * Low-latency, flexible deployment: Work toward a broader low-latency inference footprint across APAC while continuing to offer cloud, virtual private cloud, self-hosted, and on-premises deployments that help enterprises meet regional requirements around privacy, data control, and data residency. "APAC is one of the most promising markets for Voice AI right now," said Scott Stephenson, CEO and co-founder of Deepgram. "You have huge demand, incredible linguistic diversity, and companies moving quickly from experimenting with AI to putting it into production. Singapore puts us closer to the customers and partners building that future, and gives us a strong base to help make Voice AI work across the complexity of the region." "Voice AI is already live in production across APAC, from contact centers and financial services to healthcare and telecommunications," said Sriram Ved, Vice President and General Manager for APAC at Deepgram. "We're also seeing a new generation of AI companies building for the region and turning to Deepgram for the voice infrastructure underneath their products. They need technology that works where real conversations happen: across noise, accents, languages, and massive volumes, without sacrificing speed or reliability. That's what Deepgram was built to do." EDBI invests in global companies that drive the development of innovative solutions, create good jobs, and contribute to Singapore's long-term economic resilience. Its investment in Deepgram reflects a shared ambition to build advanced AI capabilities from Singapore while supporting the company's growth across APAC. "Voice AI is becoming critical infrastructure for enterprises across Asia. The companies developing these technologies need to be close to the markets, languages, and deployment realities they serve. Deepgram's decision to anchor its APAC headquarters here reflects a long-term commitment to building from Singapore. At EDBI, we partner with companies like Deepgram to establish and scale meaningful capabilities here, and we look forward to its continued contribution to Singapore's AI ecosystem," said Yeung Chia Li, Senior Partner at EDBI. Globally, Deepgram powers more than 200,000 developers and 1,400 organizations. Its platform has processed more than 50,000 years of audio and transcribed more than one trillion words. Deepgram is moving forward with plans to open its Singapore office as part of its long-term investment in the region. Learn more at deepgram.com. About Deepgram Deepgram is the real-time AI infrastructure company underpinning the Voice AI economy. Today, more than 200,000 developers and 1,400 organizations are Powered by Deepgram. Its Voice AI platform offers speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities, all powered by an enterprise-grade runtime. Deepgram's voice-native foundation models, accessed through cloud APIs or as self-hosted/on-premises APIs, deliver unmatched accuracy, low latency, and competitive pricing. Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram. To learn more, please visit www.deepgram.com, read its developer docs, or follow @DeepgramAI on X and LinkedIn.
Deepgram, a voice AI infrastructure company, is establishing its Asia-Pacific headquarters in Singapore after receiving a strategic investment from EDBI, Singapore's state-owned venture capital firm. The move marks the company's expansion into the APAC region. The investment will support Deepgram's growth in the region as it builds out its voice AI infrastructure capabilities. Singapore was chosen as the location for the regional headquarters to serve as a base for operations across Asia-Pacific markets. EDBI's investment aligns with Singapore's push to strengthen its position as a technology hub in the region. The partnership aims to accelerate Deepgram's regional presence and product development.
Deepgram has launched Flux TTS, a text-to-speech model designed for enterprise voice agents that need to handle complex, unscripted conversations. The company, which has surpassed $100 million in annual recurring revenue, built the system to maintain context across conversations, respond in as low as 80 milliseconds, and adapt to interruptions. Unlike traditional TTS models that treat each request independently, Flux TTS carries conversation forward, maintaining consistent tone and pacing throughout exchanges. The system accurately communicates critical information like drug names and account numbers. Companies including Decagon, Sierra, Vapi, and Granola already use Deepgram's voice infrastructure. IBM and Coval are among early adopters of Flux TTS. The model is now generally available, with free access for developers through 12 September 2026.
Deepgram launches Flux TTS. Deepgram, an infrastructure company underpinning the voice artificial intelligence economy, today released Flux TTS, a conversation-native text-to-speech (TTS) model for enterprise voice agents. Flux TTS joins Flux speech-to-text (STT) within Deepgram's broader voice AI platform and is backed by the same runtime and deployment flexibility organizations already use to process speech with Deepgram at scale. Through Deepgram's Voice Agent API, enterprises can orchestrate speech recognition, agent reasoning, and speech generation through a single API. Flux TTS builds on Deepgram's existing TTS capabilities with more expressive, conversation-native speech generation specifically for live interactions. "The market has spoken, literally, and voice is becoming the preferred interface for AI. But the next phase of this market will not be won by the model that sounds best in a demo. It will be won by systems enterprises can trust to complete business-critical work when conversations become unpredictable. Flux TTS was built for that standard: it begins responding in as low as 80 milliseconds while maintaining context and adapting to interruptions, moving text-to-speech from an audio feature to business-critical infrastructure," said Scott Stephenson, CEO and co-founder of Deepgram, in a statement. Flux TTS brings the following three core system behaviors to the speaking layer: * Stays consistent from one turn to the next: Rather than treating each response as a stand-alone line of speech, Flux TTS carries the conversation forward, bringing context along for the entire conversation. Prior turns inform how the next response is spoken, helping the voice maintain consistent tone, pacing, and emotional register throughout the exchange. * Keeps pace with a live conversation: Flux TTS begins responding in as low as 80 milliseconds, even under production load. Persistent state, native interruption handling, and an explicit turn lifecycle allow the agent to adapt when someone interrupts or changes direction. * Holds up under enterprise conditions: Flux TTS communicates consequential information, such as drug names, account numbers, and alphanumerics. Deployment options in a customer's cloud or on premises also support scale, security, compliance, and data-residency requirements. Preliminary use cases for Flux TTS include interactions like account management, where an agent needs to accurately communicate alphanumeric codes; sales and scheduling, where calls might be interrupted by new requests; restaurant ordering, where changes happen midway through the interaction; and technical assistance, where losing context or accuracy can force a customer to start over, abandon the task, or escalate to a human.