Customer Success Engineer (Voice AI)

TL;DR

Customer Success Engineer (Voice AI): Managing a portfolio of strategic enterprise accounts to drive the adoption of speech-to-text and text-to-speech APIs with an accent on technical consulting and commercial growth. Focus on designing AI-driven solutions, troubleshooting complex integrations, and building AI-native workflows to automate internal operations.

Location: Remote (UK)

Company

Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text (STT) and text-to-speech (TTS) to build production-grade voice agents.

What you will do

• Act as the technical advisor and strategic owner for a portfolio of enterprise accounts, partnering with stakeholders from developers to CIOs.
• Own the full customer lifecycle, including onboarding, technical enablement, adoption, and advocacy.
• Drive product adoption through live demos, architecture guidance, troubleshooting, and best-practice recommendations.
• Continuously run discovery to translate customer business problems into actionable requirements for product and engineering teams.
• Identify and scope expansion opportunities (cross-sell and upsell) in collaboration with Sales.
• Build AI tools, agents, and workflows to eliminate recurring manual work for yourself and the broader CS team.

Requirements

• Significant experience (roughly 7+ years) in technical, customer-facing roles such as TAM, Solutions Engineer, or Implementation Engineer at API-driven or AI companies.
• Proven track record of blending technical depth (solution design, troubleshooting) with strategic account ownership and commercial growth.
• Fluency in discussing APIs, integrations, and developer workflows, with experience leading POCs and technical workshops.
• Experience engaging both technical stakeholders (architects, developers) and executive buyers (CTO, CIO, VP Engineering).
• Must provide a specific example of a tool, agent, or script you built that permanently eliminated recurring work.
• An AI-native operating model with specific workflows that structurally depend on AI.

Nice to have

• Experience in machine learning, voice AI, or cloud infrastructure.
• Working fluency with automation, scripting, or agent-building using Python, TypeScript, or similar frameworks.

Culture & Benefits

• AI-first mindset: active use and experimentation with advanced AI tools are core to performance and operation.
• High-velocity environment where day-to-day work evolves rapidly alongside AI advancements.
• A role that blends expert technical consulting, strategic account management, and AI-native system building.
• Opportunity to influence the product roadmap and GTM strategy as the voice of the customer.