Deepgram

Partner Success Engineer (Infrastructure)

Deepgram
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2 months ago
Remote, United StatesSenior
H1B Sponsor

Base Salary

$195k - $235k/yr

Responsibilities

  • Own a portfolio of strategic infrastructure partners as their technical advisor and strategic relationship owner.
  • Manage the full partner lifecycle from onboarding and adoption through enablement, expansion, and advocacy.
  • Drive adoption through demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations.
  • Lead technical validations and proof-of-concepts for Deepgram models across self-hosted, on-premises, air-gapped, dedicated, and edge deployments.
  • Continuously identify partner needs and translate them into actionable requirements for product and engineering.
  • Identify expansion opportunities and activate OEM, distributor, marketplace, cloud, and inference-provider channels with Sales.
  • Lead executive business reviews and joint planning sessions.
  • Support joint go-to-market and co-marketing activities with Marketing, including content, public relations, events, and live demonstrations.
  • Represent partner needs internally and influence deployment, self-hosted, security, edge, go-to-market, and partner-support roadmaps.
  • Track adoption, usage, health, and expansion, and travel to partner sites and events as needed.
  • Build AI-powered tools, agents, and workflows that eliminate recurring work for the team.

Requirements

  • Significant technical customer-facing experience, typically roughly seven or more years, in roles such as TAM, solutions or sales engineering, deployment, partner or enterprise customer success, implementation, support, or infrastructure engineering.
  • Experience combining partner or customer ownership with solution and deployment design, hands-on troubleshooting, and commercial growth.
  • Experience leading enterprise demos, proof-of-concepts, evaluations, or technical workshops.
  • Fluency with APIs, integrations, and developer workflows, including troubleshooting first-line technical issues without requiring coding.
  • Working knowledge of Docker, Kubernetes, Helm, GPU or accelerator inference, and deployment trade-offs across self-hosted, on-premises, air-gapped, dedicated, and edge environments.
  • Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
  • Understanding of partner ecosystems and channel models including resale, referral, integrations, co-marketing, and co-selling.
  • Experience engaging technical stakeholders and executive buyers.
  • Strong communication, influence, and relationship-building skills across technical and business audiences.
  • Experience building a tool, agent, script, or workflow that permanently eliminated recurring work.
  • An AI-native operating model with workflows that structurally use AI.
  • Preferred experience in machine learning, voice AI, cloud infrastructure, developer-first technologies, GPU or accelerator optimization, confidential computing, edge AI, telephony, CCaaS, CPaaS, channel marketing, technical enablement, automation, scripting, or agent-building.
  • Preferred familiarity with quantization, model serving, throughput and latency tuning, benchmarking, trusted execution environments, model security, hardware optimization toolchains, Twilio, or Genesys.

Categories

Solutions Engineering
Deepgram

About Deepgram

51-200 employees

Deepgram is the real-time API platform powering the trillion-dollar Voice AI economy. Backed by a $130M Series C at a $1.3B valuation, Deepgram is trusted by 200,000+ developers and 1,300+ organizations to build Voice AI products, platforms, and autonomous agents with the lowest latency, highest accuracy, and enterprise reliability. Our voice-native foundation models and runtime infrastructure have processed 50,000+ years of audio and over 1 trillion words, making Deepgram the most experienced voice AI platform in the world. Industry-leading models & platform: 👂 Nova-3 — the world’s most accurate real-time speech-to-text model 🔊 Aura-2 — professional, enterprise-grade text-to-speech 💬 Flux — the first Conversational Speech Recognition model designed to handle interruptions 🚀 Voice Agent API — enterprise-ready, real-time conversational AI 🧠 Saga — the Voice OS Beyond core infrastructure, Deepgram is expanding the Voice AI ecosystem through: 💪 Powered by Deepgram, supporting voice products built by leading AI startups and enterprise organizations 🌉 A new Voice AI Collaboration Hub in San Francisco for builders, partners, and the voice community 🍔 The acquisition of OfOne, delivering real-time Voice AI for restaurants and drive-thru operations with 95%+ containment 📃 A growing patent portfolio in Voice AI Much like APIs powered the payments and cloud economies, Deepgram is building the foundation for a trillion-dollar B2B Voice AI economy—centered on the most natural human interface: voice.