Customer Success Engineer (Contract)

Retell AISan Francisco, CA
$35 - $45Remote

About The Position

We're hiring a Customer Success Engineer on a long-term 1099 contract to help enterprise customers successfully deploy and scale AI voice agents in production. You'll work directly with customers to build AI voice agents, design integrations, troubleshoot deployments, and solve technical problems. The role sits at the intersection of software engineering, customer success, and AI deployment. You'll work closely with Engineering, Product, and Customer Success while partnering directly with customer technical teams.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • 2–8 years of professional experience, ideally in Customer Success Engineering, Solutions Engineering, Forward Deployed Engineering, Software Engineering, or a similar technical role.
  • Strong technical problem-solving skills.
  • Experience working with APIs and debugging technical issues.
  • Strong communication skills and the ability to explain technical concepts clearly to customers.
  • Comfortable working directly with customers and building technical solutions with them.
  • Must be available to work some overlapping hours with our Pacific Time-based team and customers.

Nice To Haves

  • Experience with Python or TypeScript.
  • Experience with AI, LLMs, or Voice AI.
  • Startup experience.
  • Enterprise customer experience.
  • Willingness to travel occasionally for customer launches or onsite work.

Responsibilities

  • Support technical onboarding and deployment for enterprise customers.
  • Help customers launch and scale AI voice agents.
  • Build trusted relationships with customer engineering teams.
  • Build AI voice agents alongside customers.
  • Design conversation flows and deployment strategies.
  • Debug APIs, webhooks, SIP, telephony, authentication, integrations, and latency issues.
  • Troubleshoot production deployments and technical issues.
  • Work directly in customer codebases when needed.
  • Identify product gaps through customer feedback.
  • Translate customer needs into actionable product improvements.
  • Work closely with Product and Engineering teams.
  • Help customers launch new AI use cases.
  • Identify opportunities to expand product adoption.
  • Become a trusted technical partner to enterprise customers.
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