Customer Success Engineer (Americas)

Stack

Responsibilities

• ▹Serve as technical advisor and strategic owner for a portfolio of enterprise accounts, from developers up 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
• ▹Run continuous discovery: surface customer problems, understand their business impact, and translate them into actionable requirements
• ▹Identify and scope expansion (cross-sell, upsell, multi-product) in partnership with Sales
• ▹Act as the voice of the customer internally, influencing roadmap and go-to-market strategy
• ▹Track adoption, usage, health, and expansion to drive outcomes; travel to customer sites as needed
• ▹Operate AI-first by default, building tools, agents, and workflows that eliminate recurring work

Requirements

• ▹Significant experience in technical, customer-facing roles (TAM, sales/solutions engineering, enterprise CS with a strong technical focus, implementation) at API-driven, developer-first, or AI companies, typically 7+ years
• ▹A track record blending 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
• ▹Demonstrated success identifying and landing expansion in complex enterprise accounts
• ▹Fluency discussing APIs, integrations, and developer workflows, and troubleshooting L1-style issues
• ▹Experience engaging both technical stakeholders (developers, architects) and executive buyers (CIO, CTO, VP Engineering)
• ▹Exceptional communication, influence, and relationship-building skills

Nice to have

• ▹Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies
• ▹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)

Soft skills

About the company

Deepgram is the leading platform in the fast-growing, trillion-dollar Voice AI economy, providing real-time speech-to-text (STT) and text-to-speech (TTS) APIs and production-grade voice agents. More than 200,000 developers and 1,300+ organizations build on it, including Twilio, Cloudflare, and Sierra; backed by a recent Series C round, the company has processed over 50,000 years of audio to date.