Full-Time
Staff Product Manager
Former Engineer
Updated on 9/3/2026
Deepgram
201-500 employees
APIs for fast, scalable speech transcription
Compensation Overview
$200k - $268k/yr
Remote in USA + 1 more
More locations: California, USA
Remote
 Product (1) |
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- Excellent product management judgment, including owning product and roadmap, setting direction, making decisions under uncertainty, shipping outcomes, and leading cross-functional work without authority.
- Former senior software engineering experience or higher, with the ability to architect and ship production systems, read and write code, and reason deeply with engineering.
- Deep artificial intelligence fluency demonstrated by personally building and publicly shipping AI software such as agents, Model Context Protocol servers, command-line interface tools, agent and evaluation harnesses, and model-integrated tools.
- Proven ability to stand up a complete system from scratch, including business rhythms, reporting and optimization, and an experimentation platform.
- Product-led growth and developer-product fluency, including understanding how developers and AI agents adopt application programming interfaces.
- Ability to critically evaluate metrics and test results before relying on them.
- Clear communication with executives, including leading with decisions and handling pushback effectively.
- Own the agent experience of Deepgram across discovery and recommendation, integration and onboarding, production use, and verification.
- Stand up and continuously optimize a system that measures every stage of the agent funnel as agent behavior changes.
- Own agent-specific product surfaces, including signup and authentication, trial-key and token defaults, programmatic key provisioning, console onboarding, and integration verification tooling.
- Set requirements for shared developer platforms, including software development kit ergonomics, agent-readable documentation and llms.txt, the Model Context Protocol server, the command-line interface, the skills package, and starter templates, and prototype changes directly with the platform team.
- Build or research and deploy the operating system for the work, including business rhythms, data-driven optimization, and an experimentation platform.
- Turn agent traffic into fast feedback loops that improve the product as agents use it.
- Define the product perspective on agents as users by identifying their needs, failure points, and required product changes based on how models retrieve, choose, and integrate.
- Prototype, read, and write code while owning the product rather than serving as its implementing engineer.
- Experience building specifically for AI agents as consumers, including Model Context Protocol servers, agent harnesses, command-line interface tools, agent-readable documentation, tool definitions, or evaluations of agent output.
- Experience with voice, audio, or real-time streaming systems.
- A track record of open-source work with real adoption.
- Experience in a company with both self-serve and enterprise business motions.
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 raised $130 million Series C in January 2026 at $1.3 billion valuation.
- August 12, 2026 Flux TTS launched generally available, free through September 12.
- August 18, 2026 APAC HQ in Singapore targets 96% APAC API-request growth.
What critics are saying
- Tesseract Systems filed patent suit on May 27, 2026, threatening damages and injunction leverage.
- Flux TTS pricing starts September 13, 2026, risking developer churn after the free window.
- OpenAI, ElevenLabs, and Speechmatics attack Deepgram's core APIs, compressing margins fast.
What makes Deepgram unique
- Deepgram's Flux runtime unifies STT, TTS, and turn-taking for voice agents.
- Deepgram supports cloud, VPC, self-hosted, on-prem, and Snapdragon edge deployments.
- Deepgram's APAC stack spans English, Mandarin, Malay, Tamil, plus Japanese, Hindi, Thai.
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Benefits
Flexible Work Hours
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -2%2 year growth
↓ -6%India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone call. - August 25, 2026 More than 76% of consumers in India prefer talking to businesses over a phone call, according to a recent study from Truecaller. Since voice is still consumers' preferred way to communicate, that leaves a big opportunity to automate support and outreach calls using voice AI in the country. Voice AI startup Ringg, which already processes 20 million call attempts a month, is betting that volume keeps climbing over the coming months, and it just raised more money on that belief. The company said today it has landed $10 million from Peak XV Partners as an extension of its Series A. It had previously raised $5.5 million in a Series A round earlier this year, bringing the round's total to $15.5 million. Ringg started life as a text-to-speech startup called DesiVocal, but training its own speech models proved expensive, so the founders moved up the stack - building voice AI agents for enterprises instead. Indian fintech Cred became its first customer, and Ringg has since signed Indian startups like Flipkart, Practo, Groww, and PolicyBazaar. "At the start, we were doing high-volume, low-complexity use cases like outbound calling, lead qualification, loan collection, and more. We quickly realized these are not sticky use cases, and so it's always going to be a price game," the startup's co-founder Siddharth Tripathi told TechCrunch. Ringg still serves some of those simpler use cases, but it has set its sights on more complex workflows: appointment booking for healthcare clinics, abandoned-cart recovery for e-commerce sites, and onboarding/KYC ("know your customer") checks for fintech apps. Tripathi said Ringg's voice agent now runs across 1,200 clinics for the healthcare app Practo, helping patients book visits or follow up on next steps post-visit. Voice calls still make up over 70% of Ringg's business, but the startup has started branching into other channels, including chat and WhatsApp. For some clients like Shell, it's also automating browser-based support requests. Why is the DOJ investigating Andreessen Horowitz over board seats? Equity Podcast 0 seconds of 39 minutes, 2 seconds Volume 0% "We are trying to position ourselves as a platform for agents that bring outcomes or get things done rather than voice agents for enterprises," Tripathi said. Most of Ringg's customers are based in India, with a handful in the Middle East and the U.S. But the startup isn't trying to sell directly to U.S. companies; instead, it wants to partner with so-called Global Capability Centers in India - the offshore hubs multinationals increasingly lean on for back-office and support work - to sell automation capacity alongside human support. Tripathi said the company builds its own speech recognition and generation models, and would eventually like to own the full voice stack, including infrastructure and deployment. For now, though, that remains too costly, so the product works as an orchestration layer, routing tasks to different models depending on the use case. Rishen Kapoor, a principal at Peak XV, said that because Ringg started as a research lab building its own models, that technical depth shows up in the complex use cases it's now tackling. "Because of the technical capabilities, they can actually do these hard-won enterprise workflows end to end. They can complete these higher-value tasks like merchant onboarding, like L1 and L2 support, with quality and with consistency," Kapoor told TechCrunch. Voice AI in India is a crowded field. Model makers including Deepgram, ElevenLabs, Cartesia, and local players like Sarvam and Smallest.ai, are all jockeying for pole position. Orchestration-focused startups like Bolna and Blue Machines are chasing the same layer Ringg occupies, while sector-focused players like Gnani and Arrowhead concentrate heavily on finance. That layered stack - model makers, orchestrators, and application-layer players all trying to lock in enterprise workflows - is itself the story. The money and the defensibility increasingly sit with whoever owns the customer relationship and the outcome. Ringg currently has 40 employees, with more than 15 hired in the last three months. The startup is hiring for forward-deployed engineer roles that combine technical chops with product management skills, along with researchers focused on bringing down the cost of running its models.
Deepgram speech-to-text is now free for all Vagle AI users. Every Vagle AI account now includes Deepgram streaming speech-to-text at no additional cost. No separate Deepgram API key or billing is required. Direct answer. Starting today, Deepgram real-time speech-to-text is included at no additional cost for every Vagle AI user. You do not need your own Deepgram API key, and there is no separate per-minute Deepgram charge on your account. This applies to both browser web calls and phone calls made through the platform. Vagle covers the Deepgram transcription cost as part of its calling infrastructure, backed by a Deepgram investment in the platform. What changed. Previously, real-time transcription providers were billed as a separate cost component on each connected call minute. Users needed to understand which STT provider was selected and what it cost. Now, Deepgram streaming transcription is bundled into the platform. Users selecting Deepgram as their transcriber see no extra line item - the cost is absorbed by Vagle. What you get. * Real-time streaming speech-to-text on every call * Low-latency interim and final transcripts * Support for English and multiple languages * Automatic voice activity detection (VAD) * Works on browser web calls and telephony (Twilio, Plivo, VoBiz) * No separate Deepgram API key needed * No per-minute Deepgram billing on your account How to use it. When you create or edit an assistant in Vagle, select Deepgram as the transcriber. That is all - there is no API key to paste and no billing toggle to enable. If you already use Deepgram as your transcriber, nothing changes in your workflow. The cost simply disappears from your usage breakdown. Why this is possible. Deepgram has invested in Vagle AI, which includes infrastructure credits that allow the platform to offer their transcription at no additional user cost. This is a direct result of that backing. As long as the investment credits cover usage, Deepgram STT remains free for users. If this changes in the future, users will be notified in advance. Does this affect other providers. No. If you prefer a different transcriber (Groq Whisper, Speechmatics, or another supported option), those remain available with their standard pricing. Deepgram is the one that is now included at no extra cost. Limits and fair use. There is no hard per-minute cap announced today. Standard platform fair-use policies apply. Extremely high-volume usage that exceeds what the investment credits cover may be subject to future adjustments, with advance notice. Faq. Do I need a Deepgram API key to use this? Is Deepgram STT really free on Vagle? Does this work for phone calls too? Can I still use other transcribers? Will this remain free forever? Official provider resources. Related resources. Tell Vagle your use case, call volume, tools, and follow-up needs. Vagle will help you choose a practical setup.
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.