Job description

COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. COMPANY OPERATING RHYTHM At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. THE OPPORTUNITY Enterprises are moving fast from transcribing conversations to automating them. Contact centers, healthcare, financial services and consumer brands are putting voice agents in front of their customers. The buyers range from CX leaders to platform engineers, and the deals turn on latency, reliability, cost per minute and whether the agent holds up in production. Deepgram is hiring a Staff Sales Engineer, Voice Agent to drive adoption of our Voice Agent platform globally. You’ll work alongside every Account Executive on the team as the technical lead on voice agent deals, and you’ll carry a quota for new Voice Agent logos and ARR. Most of your time is spent in front of customers: positioning Deepgram in discovery, winning the technical evaluation and getting customers to production. You report to the VP of Sales. WHAT YOU'LL DO - Win voice agent deals. Lead discovery, technical qualification, architecture and proofs of concept for Voice Agent opportunities, and own the technical win from first call through production. - Be the expert in the room. Whiteboard how a customer's telephony stack (SIP trunks, PBX, CCaaS) connects to their voice agents and where Deepgram fits. Go deep on latency, turn-taking, interruption handling, function calling, cost per minute and build vs. buy. - Build what sells. Ship demos, reference agents and integration patterns across LLMs, telephony/SIP, CCaaS platforms and orchestration frameworks that AEs and customers can use on day one. - Carry the number. Own a quota tied to Voice Agent growth and run your pipeline and forecast with discipline. - Make the team better. Create the positioning, competitive battlecards, objection handling and enablement that let every AE sell Voice Agent with confidence, even when you are not on the call. - Bring the field into Product. Turn patterns from deals into clear, evidence-backed requirements for our API, SDKs and docs. - Work the ecosystem. Partner with CCaaS, telephony and LLM partners to build joint solutions and co-sell plays. WHAT YOU BRING - 7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture or forward-deployed engineering, ideally at an API, CPaaS, CCaaS or conversational AI company. - Hands-on voice agent experience across the stack: telephony (SIP, WebRTC, PBX or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines) and models (STT, TTS, LLMs). - You build. You've shipped demos, POCs or production integrations in Python, Node.js or similar, and you can show us something you've built. - A track record in revenue-tied roles. You've been measured on technical wins, pipeline or quota, and you consistently hit your targets. - Comfort leading complex, multi-stakeholder enterprise deals with everyone from platform engineers to CX executives. - Clear communication. You can walk an engineer through a SIP call flow and a VP through a cost-per-minute business case in the same meeting. NICE TO HAVE - Voice agents built on frameworks or platforms like Pipecat, LiveKit, Vapi, Retell or OpenAI Realtime - Contact center domain experience (Genesys, NICE, Five9, Amazon Connect, Talkdesk or similar) - Experience carrying an individual or overlay quota - Hands-on work with MCP servers, agent harnesses or CLI tools, or open-source contributions with real adoption - Familiarity with Challenger or a similar sales methodology - Experience selling across both self-serve and enterprise motions Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Requirements

Must-haves

At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Win voice agent deals. Lead discovery, technical qualification, architecture and proofs of concept for Voice Agent opportunities, and own the technical win from first call through production.
Build what sells. Ship demos, reference agents and integration patterns across LLMs, telephony/SIP, CCaaS platforms and orchestration frameworks that AEs and customers can use on day one.
Carry the number. Own a quota tied to Voice Agent growth and run your pipeline and forecast with discipline.
Make the team better. Create the positioning, competitive battlecards, objection handling and enablement that let every AE sell Voice Agent with confidence, even when you are not on the call.
Bring the field into Product. Turn patterns from deals into clear, evidence-backed requirements for our API, SDKs and docs.
Work the ecosystem. Partner with CCaaS, telephony and LLM partners to build joint solutions and co-sell plays.
7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture or forward-deployed engineering, ideally at an API, CPaaS, CCaaS or conversational AI company.
Hands-on voice agent experience across the stack: telephony (SIP, WebRTC, PBX or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines) and models (STT, TTS, LLMs).
You build. You've shipped demos, POCs or production integrations in Python, Node.js or similar, and you can show us something you've built.
A track record in revenue-tied roles. You've been measured on technical wins, pipeline or quota, and you consistently hit your targets.
Comfort leading complex, multi-stakeholder enterprise deals with everyone from platform engineers to CX executives.
Clear communication. You can walk an engineer through a SIP call flow and a VP through a cost-per-minute business case in the same meeting.

Nice-to-haves

Voice agents built on frameworks or platforms like Pipecat, LiveKit, Vapi, Retell or OpenAI Realtime
Contact center domain experience (Genesys, NICE, Five9, Amazon Connect, Talkdesk or similar)
Experience carrying an individual or overlay quota
Hands-on work with MCP servers, agent harnesses or CLI tools, or open-source contributions with real adoption
Familiarity with Challenger or a similar sales methodology
Experience selling across both self-serve and enterprise motions

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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