Customer Success Engineer

About the role

Deepgram is seeking a Customer Success Engineer to help build and scale our business in the Asia Pacific region. This role sits at the intersection of technical expertise and commercial growth, requiring you to act as a strategic advisor to enterprise customers while driving product adoption and expansion. You will own the full customer lifecycle, from onboarding to technical enablement, ensuring our voice AI solutions deliver measurable business outcomes.

Responsibilities

• Act as a technical expert and strategic advisor to enterprise customers, engaging directly with developers, engineers, and executives.
• Build, nurture, and sustain customer relationships across all personas, from developers to C-level stakeholders.
• Own and manage the full customer lifecycle, including onboarding, adoption, technical enablement, expansion, and advocacy.
• Conduct regular on-site visits to partner closely with customers and drive adoption through hands-on work.
• Confidently run live product demos, guide architecture discussions, and troubleshoot technical issues.
• Proactively identify and scope opportunities for expansion, such as cross-sell and upsell, in partnership with Sales.
• Serve as the voice of the customer internally to influence product roadmap and GTM strategy.

Required skills

• Technical Account Management
• Sales Engineering
• Enterprise Customer Success
• API
• Developer workflows
• Solution design
• Technical problem-solving
• Product demos
• POCs
• Technical workshops

Nice to have

• AI
• Machine learning
• Voice AI
• Cloud infrastructure
• Automation tools
• Advanced analytics
• Scripting

Qualifications

• 7-10+ years in Technical Account Management, Sales Engineering, or Enterprise Customer Success at API-driven technology companies

Benefits

• Comprehensive health coverage
• Generous paid time off
• Paid parental leave
• Learning and development support

About the Company

Deepgram is the leading platform underpinning the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. Backed by over $215M in funding, the company supports more than 200,000 developers and 1,300 organizations in building voice-native applications.