Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B.
Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction.
We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world.
Let's build the future together.
Recent recognition:
No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026
Top 50 AI Apps, a16z (2025)
#3 Fastest-Growing Software Company, G2 Best Software Awards 2026
Best Agentic AI Software, G2 Best Software Awards 2026
#4 Fastest-Growing Software Vendor, Brex Benchmark 2025
Enterprise Tech 30 Class of 2026, Nasdaq & Wing VC
Top-Ranked Startup, Lean AI Leaderboard
Backed by Y Combinator
We're hiring a Mandarin-Speaking 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.
KEY RESPONSIBILITIESEnterprise Customer DeploymentsSupport 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.
Must be able to read, write and speak in Mandarin & English.
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.
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.
You enjoy solving technical problems directly with customers.
You like building alongside customers rather than just supporting them.
You're comfortable debugging complex systems.
You move quickly and enjoy a fast-paced startup environment.
You enjoy working across Engineering, Product, and Customer Success.
Employment Type: Full-Time 1099 Contractor
Location: Remote
Compensation: $6000–$7500 USD/Month, based on experience
Hours: Must be open to working some overlapping hours with our Pacific Time team and customers.
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