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Retell AI

Senior Forward Deployed Engineer (Mandarin Fluency Required)

Redwood City, USAOn-sitePosted 1 month ago

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Job type
Full-time
Work mode
On-site
Level
Senior
Department
Engineering
Experience
Not listed
Posted
Aug 5, 2026

About the role

ABOUT THE ROLE

Retell AI transforms customer experience with voice AI for enterprises, including customers like CVS/Aetna, American Airlines, Lenovo, and Grab. We have more customer stories than we can tell!

As a Senior Forward Deployed Engineer, you'll deliver Retell's voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You'll bridge technical and non-technical stakeholders with exceptional communication, driving adoption and shaping our platform through customer insights.

We're seeing significant growth with enterprise customers in China, so we're specifically looking for engineers who are fluent in Mandarin and can communicate effectively with our China-based customers and partners.

KEY RESPONSIBILITIES

  • Lead end-to-end delivery of projects using Retell's voice agent platform - from prototyping to production, communicating progress and risks clearly.
  • Become go-to experts on building voice AI solutions, especially LLM prompting tips & tricks.
  • Build full-stack integrations (Python, JavaScript) with enterprise tools (e.g. CRMs, ERPs, scheduling tools)
  • Partner with sales to engage clients to gather requirements, prototype demos, and present system designs.
  • Scope projects, resolve blockers, and align teams with concise updates.
  • Codify reusable patterns into tools or platform components.
  • Translate field feedback into actionable product and GTM recommendations.

YOU MIGHT THRIVE IF

  • Have 2+ years in customer-facing technical role.
  • Fluent in both Mandarin and English, with the ability to communicate effectively with enterprise customers.
  • Open to occasional travel, including international travel to support customer engagements when needed.
  • Excel at communicating and explaining complex technical concepts to both technical and non-technical audiences.
  • Have delivered production systems in fast-paced, ambiguous environments.
  • Write production-grade code in Python, JavaScript/TypeScript, or a similar language.
  • Understand LLM-powered systems and their impact on user experience.
  • Proactively manage risks, drive execution, and maintain momentum under pressure.