The RevOps team owns the systems layer, operations & automation that supports Telnyx’s growth engine. Historically, that meant administering GTM tools used by humans: Salesforce, marketing automation, enrichment vendors, routing, campaign workflows, reporting, and vendor integrations.
That operating model is changing. Telnyx is increasingly building AI agents and automation that interact directly with the GTM stack. The systems team now needs to support both human-facing workflows and bot-facing infrastructure: clean data, reliable integrations, durable automations, documented process, and scalable operating patterns.
We’re looking for a Software Engineer who builds and operates the AI-native backend systems powering our go-to-market motion. You’ll design multi-agent architectures, build reliable integrations across complex business systems, and own services end-to-end from prototype through production.
The systems you build orchestrate LLM-powered agents that handle real business workflows — qualifying leads, generating emails, routing meetings, enriching contacts, and managing outbound campaigns. These are stateful, multi-step agent systems running on Kubernetes that make decisions, call tools, and interact with external APIs under real constraints: rate limits, token budgets, cost targets, and data quality issues.
You’ll partner with Engineering Leads and Technical Product Managers to understand the problem space, then translate those problems into well-architected, observable, and maintainable software. This isn’t prompt engineering and it isn’t gluing together SaaS tools - it’s systems engineering with AI as a core primitive.
This is a hands-on builder role with high ownership. You’ll make architectural decisions, ship iteratively, debug production issues, and care deeply about what happens after code merges.