Customer Success Engineer (AI)

Location: USA — Remote. Travel to customer sites may be required.

Compensation: OTE of $190,000–$220,000 in San Francisco, New York City, and Seattle; $140,000–$175,000 elsewhere in the USA. Equity and bonus are offered. US role compensation details reflect base salary and exclude bonus, equity, and benefits.

Company

Deepgram provides real-time voice AI APIs and self-hosted software for speech-to-text, text-to-speech, and production-grade voice agents.

What you will do

• Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts, working with developers, architects, CIOs, and CTOs.
• Own onboarding, adoption, technical enablement, expansion, and advocacy across the customer lifecycle.
• Run demos, proof-of-concepts, workshops, architecture discussions, troubleshooting sessions, and executive business reviews.
• Discover customer problems, assess business impact, and translate findings into actionable product and engineering requirements.
• Identify and lead cross-sell, upsell, and multi-product expansion opportunities with Sales.
• Build AI-powered tools, agents, and workflows that eliminate recurring work and increase leverage across Customer Success.

Requirements

• Approximately 7+ years of experience in technical, customer-facing roles such as Technical Account Management, Solutions or Sales Engineering, enterprise Customer Success, implementation, or forward-deployed engineering.
• Experience combining customer ownership with technical depth in solution design, troubleshooting, and commercial growth.
• Hands-on experience leading enterprise demos, POCs, or technical workshops.
• Fluency with APIs, integrations, developer workflows, and L1-style troubleshooting; coding is not required.
• Experience engaging both technical stakeholders and executive buyers, with strong communication and relationship-building skills.
• Experience creating an AI-dependent operating model and having built a tool, agent, script, or workflow that removed recurring work.

Nice to have

• Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies.
• Background spanning solutions engineering, Technical Account Management, or L1 support alongside Customer Success responsibilities.
• Working fluency with Python, TypeScript, workflow tools, agent frameworks, automation, or scripting.

Culture & Benefits

• Remote work within the USA with customer-site travel as needed.
• AI-first working model with an expectation of actively using and experimenting with advanced AI tools.
• Fast-changing environment that values experimentation, adaptability, independent judgment, and continuous learning.
• Equity and bonus offered.