Staff Sales Engineer, Voice AI

PromptCube; United States; Remote; USD 185,000 - 230,000; Full time

Job summary

Deepgram is hiring a Staff Sales Engineer, Voice Agent to drive adoption of our Voice Agent platform globally. You’ll work alongside Account Executives as the technical lead on voice agent deals and carry a quota for new logos and ARR, spending most of your time in front of customers.

You’ll map customer telephony stacks, build demos and integrations, and own the technical win from discovery through production, ensuring latency, cost per minute, and build-vs.-buy considerations are addressed.

Qualifications

• 7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture or forward-deployed engineering.
• Hands-on voice-agent experience across telephony (SIP, WebRTC, PBX or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines) and models (STT, TTS, LLMs).
• Ability to build and ship demos, proofs of concept, or production integrations in Python, Node.js, or similar, with examples of your work to show.
• A record in revenue-tied roles measured on technical wins, pipeline, or quota, with consistent target attainment.
• Experience leading complex, multi-stakeholder enterprise deals involving everyone from platform engineers to CX executives.
• Clear communication: able to explain a SIP call flow to an engineer and a cost-per-minute business case to a VP in the same meeting.
• Comfort rapidly adopting new AI models and modes, integrating AI into daily workflows, and actively using advanced AI tools; the company states that it measures how effectively AI is applied.

Responsibilities

• 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.

Skills

Voice agent experience

Telephony integration

SIP/WebRTC/CCaaS

LLM orchestration

Python/Node.js demos

Enterprise deals

Quota attainment

Clear communication

AI model adoption

Tools

Python

Node.js

Job description

Role overview

Deepgram, which provides real-time speech-to-text, text-to-speech, and voice-agent APIs plus self-hosted and on-premises deployment, is hiring a Staff Sales Engineer, Voice AI for a listed USA

• Remote role. The engineer will serve as technical lead alongside every account executive on Voice Agent deals, carry quota for new logos and ARR, and guide customers from discovery and technical validation through production.

Responsibilities

• Act as technical lead with every account executive on Voice Agent opportunities: run discovery, technical qualification, architecture, and proofs of concept, and own the technical win from first call through production.
• Map customer telephony stacks, including SIP trunks, PBX, and CCaaS, to voice-agent architectures and explain where Deepgram fits.
• Address evaluation criteria such as latency, turn-taking, interruption handling, function calling, cost per minute, and build-versus-buy.
• Ship demos, reference agents, and integration patterns spanning LLMs, telephony/SIP, CCaaS platforms, and orchestration frameworks so account executives and customers can use them immediately.
• Own a quota tied to Voice Agent growth, including new Voice Agent logos and ARR, and manage pipeline and forecasting with discipline.
• Create positioning, competitive battlecards, objection handling, and sales enablement that help every account executive sell Voice Agent confidently without you on the call.
• Convert recurring field and deal patterns into evidence-backed requirements for Deepgram's API, SDKs, and documentation.
• Build joint solutions and co-sell plays with CCaaS, telephony, and LLM partners.

Qualifications

• 7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture, or forward-deployed engineering.
• Hands-on voice-agent experience across telephony (SIP, WebRTC, PBX, or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines), and models (STT, TTS, LLMs).
• Ability to build and ship demos, proofs of concept, or production integrations in Python, Node.js, or similar, with examples of your work to show.
• A record in revenue-tied roles measured on technical wins, pipeline, or quota, with consistent target attainment.
• Experience leading complex, multi-stakeholder enterprise deals involving everyone from platform engineers to CX executives.
• Clear communication: able to explain a SIP call flow to an engineer and a cost-per-minute business case to a VP in the same meeting.
• Comfort rapidly adopting new AI models and modes, integrating AI into daily workflows, and actively using advanced AI tools; the company states that it measures how effectively AI is applied.

Application conditions

• Full-time role.
• Listed location: USA
• Remote. Remote eligibility does not imply worldwide eligibility.
• The source does not specify residency, work-authorization, time-zone, language, or travel requirements; applicants should confirm them in the original listing.
• The employer describes a fast-changing, non-prescriptive environment rather than a traditional 9-to-5, with continuous experimentation, adaptation, and learning expected.

Preferred qualifications

• Voice agents built on frameworks or platforms such as Pipecat, LiveKit, Vapi, Retell, or OpenAI Realtime.
• Contact-center domain experience with 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.
• Prior experience at an API, CPaaS, CCaaS, or conversational AI company is ideal.

Compensation and benefits

• $185K - $230K USD / year

Employer-published remote role. Listed location(s): USA

• Remote. Remote does not imply worldwide eligibility. Check the original listing for residency, work authorization, time zone, language and travel requirements.

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 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 email address. If you've received a message claiming to be Deepgram, please forward it to [e-mail].