Staff Sales Engineer, Voice AI

Deepgram; Myrtle Point (OR); Remote; USD 185,000 - 230,000; Full time

Job summary

Deepgram is seeking a Staff Sales Engineer, Voice AI to drive adoption of our Voice Agent platform globally. You will lead as the technical owner on voice agent opportunities, engaging early in discovery and guiding customers to production.

You will collaborate with Account Executives, address latency, cost per minute and integration challenges, and craft demos and reference patterns that customers can deploy on day one.

Qualifications

• 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've shipped demos, POCs or production integrations in Python, Node.js or similar, and you can show us something you've built.
• You’ve been measured on technical wins, pipeline or quota, and you consistently hit your targets.

Responsibilities

• Win voice agent deals by leading 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. Explain latency, cost per minute, and integration points for telephony stacks and Deepgram’s role.
• Build demos, reference agents and integration patterns across LLMs, telephony, CCaaS platforms and orchestration frameworks.
• 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 and enablement for AEs.
• Bring the field into Product. Turn patterns from deals into 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 tech

SIP/WebRTC

LLM frameworks

Python/Node.js

Revenue targets

Customer-facing

Job description

Staff Sales Engineer, Voice AI

Location

USA - Remote

Employment Type

Full time

Location Type

Remote

Department

Sales - AE

Compensation

• OTE 270k-330k $185K - $230K Offers Equity Offers Commission

This range is determined by work location and additional factors, including job-related skills and experience. There may be instances where a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Please note that the compensation details listed on US role postings reflect the base salary only and does not include bonus, equity or benefits.

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