Сильная роль в продуктовой Voice AI-компании с понятной зоной ответственности и высоким OTE, но базовая зарплата ниже рыночного ориентира, а в описании прямо предупреждают о быстром темпе и частых изменениях.
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База ниже рынкаВысокий темпСовременный стекЧёткая зона ответственностиПродукт в сфере AI
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Sales Engineer (Voice Agent) (Voice AI, Telephony, LLMs): Driving global adoption of a Voice Agent platform by leading technical discovery, architecture, proofs of concept, and production integrations across telephony, CCaaS, orchestration frameworks, and language models with an accent on latency, turn-taking, interruption handling, function calling, and cost per minute. Focus on winning complex enterprise deals, building demos and reference agents, carrying a Voice Agent quota, and translating customer patterns into API, SDK, and documentation requirements.
Location: USA — Remote
Salary: $185,000–$230,000 base annually; OTE $270,000–$330,000. Equity and commission offered. OTE, equity, commission, and benefits are not included in the stated base salary range.
Company
Deepgram provides real-time Voice AI APIs and self-hosted or on-premises software for speech-to-text, text-to-speech, and production-grade voice agents.
What you will do
Lead discovery, technical qualification, architecture, proofs of concept, and technical wins for Voice Agent opportunities through production.
Explain how SIP trunks, PBX, CCaaS platforms, and customer telephony stacks connect to voice agents; address latency, turn-taking, interruption handling, function calling, cost per minute, and build-versus-buy decisions.
Build demos, reference agents, and integration patterns across LLMs, telephony/SIP, CCaaS platforms, and orchestration frameworks.
Own a quota tied to Voice Agent growth, pipeline, and forecast.
Create positioning, competitive battlecards, objection handling, and enablement for Account Executives.
Translate deal patterns into evidence-backed requirements for APIs, SDKs, and documentation while partnering with CCaaS, telephony, and LLM partners.
Requirements
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 telephony, orchestration, and models, including SIP, WebRTC, PBX or CCaaS integration; LLM agent frameworks, tool calling, and real-time streaming pipelines; and STT, TTS, and LLMs.
Experience shipping demos, proofs of concept, or production integrations in Python, Node.js, or a similar language, with something built that can be demonstrated.
Experience in revenue-tied roles measured on technical wins, pipeline, or quota, with a consistent record of meeting targets.
Experience leading complex, multi-stakeholder enterprise deals involving platform engineers and CX executives.
Ability to explain a SIP call flow to an engineer and a cost-per-minute business case to a VP in the same meeting.
Nice to have
Voice agents built with Pipecat, LiveKit, Vapi, Retell, or OpenAI Realtime.
Contact center experience with Genesys, NICE, Five9, Amazon Connect, Talkdesk, or a similar platform.
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 through both self-serve and enterprise motions.
Culture & Benefits
Remote work from the USA.
AI use and comfort are core expectations; employees are expected to actively use, experiment with, and build advanced AI tools into their workflows.
Work takes place in a rapidly changing environment requiring experimentation, adaptability, and continuous learning.
Equity and commission are offered.
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