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Deepgram is the leading platform for Voice AI, providing real-time APIs for speech-to-text, text-to-speech, and voice agents at scale. The company has processed over 50,000 years of audio and serves 200,000+ developers and 1,300+ organizations including Twilio, Cloudflare, and Vapi.
As a Customer Success Engineer on the Scaled team, you'll drive adoption, retention, and expansion across a large pooled portfolio of fast-growing customers using a digital-first, one-to-many motion rather than traditional 1:1 account management. This is a technical systems-building role that sits at the intersection of APIs, customer outcomes, and scale.
You'll design and execute scalable customer journeys—digital onboarding sequences, automated lifecycle touchpoints, self-serve resources—that help hundreds of customers reach value faster. You'll provide hands-on technical guidance including running demos, guiding API integrations and architecture decisions, and troubleshooting issues for developer audiences. A core part of your leverage comes from building reusable enablement assets (demo scripts, integration guides, sample code, playbooks, micro-videos) that eliminate repetitive problems at scale.
You'll own portfolio health monitoring, run one-to-many programs like webinars and office hours, identify expansion opportunities, and serve as the voice of the customer internally. Success is measured by portfolio-level KPIs: activation, adoption, usage, retention, and expansion.
The ideal candidate is deeply technical—comfortable troubleshooting API integrations and designing workflows—with high EQ and a learning index. You have a track record of shipping something (internal tool, agent, script, pipeline, or program) that permanently solved a class of problems. You're energized by serving high volumes of customers without dropping quality, ramp quickly on unfamiliar accounts, and prioritize ruthlessly through a business-impact lens. Exceptional writing skills are essential since your communication scales across hundreds of customers. AI is core to how you work—you've rebuilt meaningful parts of your workflow around it and wouldn't go back.
