Deepgram
Customer Success Engineer (Americas)
Remote Customer Success role with clear candidate location fit.
PostedApr 24, 2026
Eligible countries27 accepted countries
Seniority signalOpen level
Work settingRemote
Accepted candidate locations
Role overview
Customer Success Engineer (Americas)
Requirements and responsibilities
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What You'll Do
- Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with everyone from developers to CIOs and CTOs.
- Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
- Drive adoption through live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations — making Deepgram successful inside the customer's environment.
- Run discovery continuously: surface customer problems, understand their business impact, and translate them into actionable requirements for product and engineering.
- Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales, and lead executive business reviews and joint planning sessions.
- Act as the voice of the customer internally — influencing roadmap, GTM strategy, and the tools we build to support customers.
- Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed.
- Operate AI-first by default, and build tools, agents, and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create, not just the accounts you serve.
What We're Looking For
- Significant experience in technical, customer-facing roles — TAM, sales/solutions engineering, enterprise CS with a strong technical focus, implementation, or forward-deployed work — at API-driven, developer-first, or AI companies. For most people that's roughly 7+ years, but we care more about the shape of your experience than the exact number.
- A track record that blends customer ownership with technical depth: solution design, hands-on troubleshooting, and commercial growth.
- Hands-on experience running demos, POCs, or technical workshops with enterprise customers — leading them, not just attending.
- Demonstrated success identifying and landing expansion in complex enterprise accounts.
- Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues (no coding required, but genuinely conversant — not hand-waving).
- Experience engaging both technical stakeholders (developers, 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.
Nice to haves
- Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
- A background spanning solutions engineering, TAM, or L1 support alongside CS responsibilities.
- Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools, agent frameworks, or equivalent). You don't need to be a software engineer — just dangerous enough to ship working systems.
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