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Partner Success Engineer (Infrastructure)

Deepgram· Customer Success
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Remote$0 + bonusFull-timePosted 3mo ago

About the role

Partner Success Engineer focused on infrastructure for Deepgram, owning a portfolio of strategic hardware, cloud, and edge deployment partners to drive joint adoption, enablement, expansion, and channel growth across self-hosted, on-prem, air-gapped, dedicated, and edge environments.

Responsibilities

  • Serve as the technical advisor and strategic owner for a portfolio of strategic infrastructure partners, engaging developers, platform/ML engineers, CIOs and CTOs.
  • Own the full partner lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
  • Drive joint adoption through live demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations — ensuring Deepgram success inside partner environments and on partner hardware/platforms.
  • Lead joint technical validation: scope and run POCs and evaluations that prove Deepgram models on partner infrastructure across self-hosted, on-prem, air-gapped, dedicated, and on-device/edge deployments, including security-sensitive and regulated use cases.
  • Run discovery continuously: surface partner problems, understand business impact, translate into actionable requirements for product/engineering.
  • Identify and scope expansion (cross-sell, upsell, multi-product, co-sell) with Sales; activate partner channels to reach customer base; lead executive business reviews and joint planning sessions.
  • Support joint go-to-market and co-marketing with Marketing — blogs, one-pagers, PR, live demos at events to drive awareness and activate the channel.
  • Act as the voice of the partner internally — influencing roadmap, GTM strategy, and tools to support partners.
  • Track adoption, usage, health, and expansion to drive outcomes; travel to partner sites and events as needed.
  • Operate AI-first by default, building tools and workflows to remove recurring work; impact measured by leverage created.

Qualifications

  • Significant experience in technical, customer-facing roles (around 7+ years is typical, but emphasis is on experience shape, not exact number).
  • Track record blending partner/customer ownership with technical depth: solution and deployment design, hands-on troubleshooting, and commercial growth.
  • Hands-on experience running demos, POCs, or technical workshops with enterprise partners or customers.
  • Fluency discussing APIs, integrations, and developer workflows; troubleshooting L1-style issues (coding not required).
  • Working understanding of deployment and infrastructure: containers/orchestration (Docker, Kubernetes/Helm), inference on GPUs/accelerators, and deployment models (self-hosted, on-prem, air-gapped, dedicated, edge/on-device).
  • Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
  • Strong understanding of partner ecosystems and channel business models (resale, referral, integrations, co-marketing, co-selling) including hardware/silicon, cloud and inference providers, OEM/distributor channels.
  • Experience engaging both technical stakeholders and executive buyers (CIO/CTO/VP Eng).
  • Exceptional communication, influence, and relationship-building across technical and business audiences.
  • Something you’ve built (tool, agent, script, or workflow) that permanently eliminated recurring work; must describe impact.
  • AI-native operating model: workflows that depend on AI and how you’d rebuild them if tools disappeared.

Skills

Required:Technical leadership in partner ecosystemsAPIs, integrations, and developer workflowsContainers and orchestration

Benefits

  • Offers Equity
  • OTEs vary by location: San Francisco & NYC tier with higher OTE; other locations with different OTE.
  • Bonus eligibility: 10% bonus noted for certain locations; compensation reflects base salary with potential bonuses/equity not included in base figures.
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About Deepgram

Building foundational AI for speech transcription and understanding.

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.

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