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TL;DR
Customer Success Engineer (Voice AI): Drive enterprise adoption of Deepgram’s speech-to-text (STT), text-to-speech (TTS), and voice agent solutions with an accent on technical consulting, API/integration troubleshooting, and turning AI-native workflows into measurable customer outcomes. Focus on owning the full customer lifecycle end to end, running demos/POCs/workshops, identifying expansion opportunities, and building internal systems that eliminate recurring work.
Location: Remote (Switzerland)
Company
Deepgram provides real-time Voice AI APIs (STT/TTS) and tools for building production-grade voice agents at scale.
What you will do
- Serve as technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with developers through CIO/CTO stakeholders.
- Own the full customer lifecycle: onboarding, adoption, technical enablement, expansion, and advocacy.
- Drive adoption via live demos, workshops, architecture guidance, troubleshooting, and best-practice recommendations.
- Continuously run discovery to surface customer problems, assess business impact, and translate needs into actionable requirements for product and engineering.
- Identify and scope expansion (cross-sell/upsell/multi-product) with Sales and lead executive business reviews and joint planning.
- Track adoption/usage/health and expansion outcomes; travel to customer sites as needed.
Requirements
- Location: Must be based in Switzerland
- Significant experience in technical, customer-facing roles (TAM, solutions/sales engineering, enterprise CS with technical focus, implementation, or forward-deployed work), typically 7+ years.
- Proven blend of customer ownership and technical depth: solution design, hands-on troubleshooting, and commercial growth.
- Hands-on experience running demos, POCs, or technical workshops with enterprise customers.
- Fluency discussing APIs, integrations, and developer workflows; able to troubleshoot L1-style issues without hand-waving (no coding required).
- Experience engaging both technical stakeholders (developers/architects) and executive buyers (CIO/CTO/VP Engineering), with strong communication and influence.
Nice to have
- Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
- Working fluency with automation/scripting/agent-building (e.g., Python, TypeScript, workflow tools, agent frameworks) and ability to ship working systems.
- Experience building tools/agents/workflows that permanently eliminated recurring work.
Culture & Benefits
- AI-first operating model: AI use and experimentation are core to day-to-day work.
- Build systems to remove recurring work; impact is measured by leverage created, not just accounts served.
- Fast-moving environment where day-to-day work evolves quickly.
- Remote full-time role with travel to customer sites as needed.
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