Full-Time
Customer Success Engineer
Scaled
Posted on 8/21/2026
Deepgram
201-500 employees
APIs for fast, scalable speech transcription
Compensation Overview
$147k - $176.5k/yr
Remote in USA + 1 more
More locations: California, USA
Remote
 Customer Experience & Support (1) |
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 Sales & Solution Engineering (1) |
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- Three to five or more years of experience in a technical, customer-facing role such as Customer Success Engineering, Sales Engineering, Solutions Engineering, Implementation, Technical Account Management, or Support Engineering, preferably at an API-driven, developer-first, or artificial intelligence company.
- Fluency in application programming interfaces, developer workflows, and integration patterns sufficient to run demonstrations and troubleshoot Level 1 and Level 2 issues.
- Experience serving a high volume of customers or building scaled or tech-touch programs, including digital onboarding, one-to-many campaigns, webinars, self-serve enablement, or automated journeys.
- Experience building repeatable playbooks, templates, or automations that work across many customers.
- Ability to use product usage and customer health data to prioritize, measure, and refine work.
- Ability to create written and verbal content that educates and drives action across a broad audience.
- Ability to demonstrate a tool, agent, script, workflow, or customer program built to permanently eliminate recurring work, including what it replaced and what it continues to do.
- Strong ownership and ability to work collaboratively and independently in a remote environment.
- Own adoption, retention, and expansion across a large, pooled portfolio of scaled-segment customers through a one-to-many motion rather than dedicated one-to-one coverage.
- Design and execute scalable customer journeys, including digital onboarding sequences, automated lifecycle touchpoints, in-app guidance, and self-serve resources, to drive rapid time-to-first-value and consistent activation.
- Provide in-person support during activation, technical blockers, expansion signals, renewal, and risk moments.
- Provide hands-on technical guidance by running and recording demonstrations, guiding application programming interface integrations and architecture decisions, troubleshooting Level 1 and Level 2 issues, and maintaining current knowledge of the company's application programming interfaces.
- Build and maintain reusable enablement assets, including demonstration scripts, integration guides, sample code, evaluation kits, playbooks, and micro-videos, for customers and go-to-market teams.
- Run one-to-many programs, including webinars, office hours, and education campaigns, to drive product adoption and identify expansion opportunities.
- Monitor account health, usage, and churn-risk signals across the portfolio and trigger proactive, prioritized outreach based on data.
- Identify and scope cross-sell, upsell, and multi-product expansion opportunities at scale, partnering with Sales on higher-value opportunities.
- Represent the customer internally by translating digital interactions and usage data into input for the product roadmap, go-to-market strategy, and internal tools.
- Track, analyze, and report portfolio-level key performance indicators, including activation, adoption, usage, health, retention, and expansion.
- Build systems that automate recurring research, account summaries, follow-ups, content, and technical investigation to increase leverage across the segment.
- Experience in a scaled, digital, or tech-touch Customer Success motion or with consumption-based business models.
- Working fluency with automation, scripting, or agent-building using Python, TypeScript, workflow tools, or agent frameworks, sufficient to ship working systems.
- Experience with Customer Success, customer education, or marketing-automation platforms such as Gainsight, Vitally, or ChurnZero, or with similar platforms and product analytics tools.
- Experience in artificial intelligence, machine learning, voice artificial intelligence, cloud infrastructure, or developer-first technologies.
- Background in Customer Education, Scaled or Digital Success, or Customer Marketing alongside technical customer-facing work.
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
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Simplify's Take
What believers are saying
- Deepgram said APAC API requests rose 96% year over year by August 18, 2026.
- The company says it serves 200,000 developers, 1,400 organizations, and surpassed $100 million ARR.
- Customers including Decagon, Sierra, Vapi, IBM, and Coval validate enterprise voice demand.
What critics are saying
- Tesseract Systems filed a patent-infringement suit on May 27, 2026 in Delaware.
- OpenAI, ElevenLabs, and AssemblyAI are squeezing Deepgram’s pricing and feature differentiation.
- APAC expansion can distract engineering from core models while competitors ship faster in 2026.
What makes Deepgram unique
- Deepgram’s June 2026 confidential-computing stack keeps audio and model weights encrypted during inference.
- Its August 2026 Singapore headquarters localizes APAC support across 20-plus markets.
- Flux TTS and Voice Agent API unify transcription, reasoning orchestration, and speech generation.
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Growth & Insights and Company News
6 month growth
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↓ -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.