As a Customer Engineer, you'll drive technical engagement for high-growth accounts, focusing on scalable programs and tools to enhance customer experience and reduce friction.
Partner Success Engineer (Infrastructure)
📅 Jul 10
Technical ConsultingPartner ManagementAI-native Operating ModelAPIs
📜 Description
- Serve as the technical advisor and strategic owner for a portfolio of strategic infrastructure partners, engaging everyone from developers and platform/ML engineers to 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.
- Lead joint technical validation: scope and run POCs and evaluations that prove Deepgram models on partner infrastructure across various deployment environments.
- Run discovery continuously: surface partner problems, understand their business impact, and translate them into actionable requirements for product and engineering.
- Identify and scope expansion in partnership with Sales, activating partner channels to reach their customer base.
🛠️ Requirements
- AI-native operating model — AI is how you work, not a tool you occasionally reach for. When you hit recurring work, your instinct is to build the system that removes it.
- A track record that blends partner or 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 — leading them, not just attending.
- Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).
- Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
- Experience engaging both technical stakeholders (developers, platform and ML engineers, architects) and executive buyers (CIO, CTO, VP Engineering).
- Exceptional communication, influence, and relationship-building — concise and structured, across technical and business audiences.
- Something you’ve built — a tool, agent, script, or workflow — that permanently eliminated recurring work. In your application, tell us what it was, what it replaced, and what it’s still doing today.
- An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you’d rebuild them if those tools disappeared tomorrow.
- Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
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