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Staff Sales Engineer, Voice AI

Deepgram

LocationUnited States
SeniorityStaff
CompanyDeepgram
Verified recentlyChecked today
Compensation

Salary not listed

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Requirements and working style

Decision details from the source listing

Experience

7+ years stated

Schedule

not stated

Required overlap

not stated

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Deepgram is hiring a US-remote Staff Sales Engineer to lead technical sales and customer adoption of its Voice Agent platform. The role includes customer discovery, architecture, proofs of concept, production integrations, quota ownership, and collaboration with Product and ecosystem partners. Requires 7+ years in customer-facing technical roles and hands-on voice agent experience.

Role lane

Backend, Customer success, Design and creative, DevOps, Finance and investments, Healthcare admin, HR and recruiting, Marketing, Operations, Product, Sales, Software, Customer support

Where you can work

United States

Working hours

Timezone overlap is not stated.

Arrangement

Staff · full_time

Required signals
Sales engineering or other customer-facing technical experienceVoice agent technologyTelephony integration (SIP, WebRTC, PBX, or CCaaS)LLM agent frameworks, tool calling, or real-time streaming pipelinesSpeech-to-text, text-to-speech, and LLM modelsPython, Node.js, or similar programmingTechnical sales, pipeline, or quota experienceEnterprise deal leadershipCustomer communication and technical presentations
Preferred signals
Pipecat, LiveKit, Vapi, Retell, or OpenAI RealtimeContact center platforms such as Genesys, NICE, Five9, Amazon Connect, or TalkdeskIndividual or overlay quota experienceMCP servers, agent harnesses, CLI tools, or adopted open-source contributionsChallenger or similar sales methodologyExperience selling through self-serve and enterprise motions
Confirm before applying
  • Required timezone overlap is not stated
  • Compensation is not listed
Market context

Backend hiring on WFH.team

4,881active related roles
1,420new in the latest period
200.9jobs per 100 candidates
$182kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
Sales engineering or other customer-facing technical experienceVoice agent technologyTelephony integration (SIP, WebRTC, PBX, or CCaaS)LLM agent frameworks, tool calling, or real-time streaming pipelinesSpeech-to-text, text-to-speech, and LLM modelsPython, Node.js, or similar programmingTechnical sales, pipeline, or quota experienceEnterprise deal leadershipCustomer communication and technical presentationsPipecat, LiveKit, Vapi, Retell, or OpenAI RealtimeContact center platforms such as Genesys, NICE, Five9, Amazon Connect, or TalkdeskIndividual or overlay quota experienceMCP servers, agent harnesses, CLI tools, or adopted open-source contributionsChallenger or similar sales methodologyExperience selling through self-serve and enterprise motionsRemote within the United States
Job description

Staff Sales Engineer, Voice AI at Deepgram

COMPANY OVERVIEW

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

Operating Principles

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

1. Compress before you communicate. You think it through first, then lead with the bottom line.

2. Resist entropy. You question what already exists before adding more process or tools.

3. Solve the category. You fix recurring problems at the source, not one case at a time.

4. Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

AI-FIRST BY DEFAULT

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

  • Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.
  • Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.
  • Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.
  • Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

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 http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Company context

Working remotely at Deepgram

Powering insight-driven decisions and growth with world-leading speech recognition for businesses.

Team size
51-200
Founded
2015
Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Application process

Review current openings on Deepgram's official careers page before applying.

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Remote Staff Sales Engineer, Voice AI at Deepgram | WFH.team