
51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🔌 API
💰 $47M Series B on 2022-11
Artificial Intelligence • SaaS • API
Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.
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51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
☁️ SaaS
🔌 API
💰 $47M Series B on 2022-11
Artificial Intelligence • SaaS • API
Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.
• 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.
• 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.
• Health insurance • Flexible work arrangements
Apply Now🕒 February 8
Customer Success Engineer ensuring technical success for Caplena customers from onboarding through long-term usage. Troubleshooting issues and improving internal workflows in a collaborative environment.
🇨🇭 Switzerland – Remote
💰 Seed Round on 2022-03
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑🔧 Technical Customer Success Manager