Customer Success Engineer
The Customer Success Engineer will deploy and scale AI voice agents for enterprise customers, building integrations, debugging production systems, and translating customer needs into product improvements. Requires a technical bachelor's degree, 2–8 years of experience, customer-facing technical communication, and API troubleshooting skills.
About the job
Responsibilities
Enterprise Customer Deployments
- Support technical onboarding and deployment for enterprise customers.
- Help customers launch and scale AI voice agents.
- Build trusted relationships with customer engineering teams.
Technical Consulting
- 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.
Product and Engineering Partnership
- Identify product gaps through customer feedback.
- Translate customer needs into actionable product improvements.
- Collaborate closely with Product and Engineering teams.
Customer Growth
- Help customers launch new AI use cases.
- Identify opportunities to expand product adoption.
- Serve as a trusted technical partner to enterprise customers.
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.
- Availability for some overlapping hours with a 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.
Compensation and Benefits
- Full-time 1099 contractor.
- Compensation of $6,000–$7,500 USD per month, based on experience.
- Remote role.
- Some overlapping hours with the Pacific Time team and customers are required.
Skills
APIs, Webhooks, Sip, Telephony, Authentication, Python, TypeScript, Artificial Intelligence, LLMs, Voice Ai, Conversation Design, Latency Debugging
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