Forward Deployed Engineer

We're looking for a Forward Deployed Engineer to join our team. You'll embed directly with enterprise customers to architect and ship production systems on Telnyx's global network—voice, messaging, AI, and wireless. This isn't about demoing products; it's about building real solutions that work at scale.

This role would suit a technical professional who thrives at the intersection of engineering and customer success. You're equally comfortable debugging SIP traces as you are leading a whiteboard session with a customer's engineering team. The ability to own outcomes from POC to production go-live is essential.

This role has 10–30% travel to customer sites for deployments, workshops, and escalations.

Responsibilities

• Embed with enterprise customers to understand their communications workflows, AI use cases, and integration challenges firsthand
• Build and deploy custom implementations: AI Voice Assistants, Telnyx APIs (Voice, Messaging, Fax, Wireless), WebRTC
• Lead POCs, pilots, and production launches from whiteboard to go-live
• Own customer outcomes—stay engaged until the solution is live and stable
• Collaborate directly with Product and Engineering to shape the roadmap based on field insights
• Create clear technical documentation, runbooks, and maintainable solutions for handoff
• Troubleshoot and resolve complex integration issues alongside customer teams

What We Are Looking For

• CS degree or equivalent experience
• 3+ years building software or doing technical consulting
• Proficiency in multiple languages: Python, Node.js, Go—you're more dangerous in some than others
• Strong API fluency, event-driven thinking, and cloud-native instincts
• Exposure to SIP, WebRTC, or real-time voice/messaging systems
• Ability to translate "it's not working" into root cause
• Comfortable working on customer sites and in high-stakes technical conversations

Bonus Points For

• Experience with AI voice assistants, STT, or LLM-based conversational systems
• SQL proficiency (Postgres, MySQL, Oracle)
• ETL and data wrangling experience
• DevOps fundamentals (Docker, Kubernetes, CI/CD)
• Background in telecom, CPaaS, or high-growth SaaS
• Security mindset (IAM, encryption, audit logging)