Telnyx Visa Sponsorship Jobs USA
Telnyx is a cloud communications platform operating in the competitive telecommunications infrastructure space. The company has demonstrated a consistent willingness to sponsor work visas across multiple categories, making it a viable target for international candidates with backgrounds in software engineering, networking, and telecom product development.
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Get Access To All JobsAbout Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
About the Team
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.
About the Role
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.
Responsibilities
- Design and build multi-agent AI systems in Python that handle complex, multi-step business workflows - qualification, email generation, routing, enrichment, and outbound orchestration
- Architect model-agnostic abstraction layers that decouple business logic from LLM providers, enabling flexibility across Claude, GPT, and open-source models
- Build and operate backend services (FastAPI/Flask) deployed on Kubernetes with CI/CD, managing the full lifecycle from deployment configuration to production reliability
- Design tool-use patterns for AI agents - structured function calling, multi-step reasoning, state management across conversation turns, and graceful handling of model failures
- Build integrations across external systems (CRM, enrichment APIs, outreach platforms, Slack) with proper error handling, retries, rate limiting, and data contracts
- Instrument and monitor AI systems in production — build observability into agent behavior, track success rates, detect regressions, and debug non-deterministic failures
- Design and run experiments (A/B tests, prompt variations, model comparisons) with proper evaluation infrastructure to measure what's actually working
Requirements
- 2+ years of software engineering experience building backend services in Python
- Production experience building multi-step AI agent systems — stateful workflows where models make decisions, call tools, and operate across multiple turns, not single-shot API wrappers
- Strong understanding of LLM internals as they affect system design: context window management, token budgets, cost/latency/capability tradeoffs across models, structured outputs, and strategies for handling hallucination and refusals
- Experience testing and evaluating non-deterministic AI systems — you understand that assert output == expected doesn't work and have built or used alternatives
- Solid software architecture fundamentals: API design, state management, fault tolerance, and graceful degradation when upstream services fail
- Production experience with containerized deployments (Docker, Kubernetes) and CI/CD pipelines
- Experience integrating with external APIs at scale — auth flows, rate limiting, retries, data normalization, and managing the operational complexity of multiple third-party dependencies
- Proficiency with SQL and data systems for building targeting, enrichment, and analytics pipelines
- Built observability into production systems — structured logging, tracing, alerting, and monitoring that you actually use to debug issues
- High ownership: you deploy your own code, investigate your own incidents, and close the loop between what you shipped and how it performs
Nice to Have
- Experience with specific GTM/RevOps systems (Salesforce, Apollo, Lusha, enrichment providers) or similar complex business platforms
- Background in growth engineering, marketing automation, or revenue operations tooling
- Experience with Slack bot development or conversational AI interfaces
- Contributions to or experience with open-source AI agent frameworks
- Familiarity with ArgoCD, StatefulSets, or Kubernetes operations beyond basic deployments
About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
About the Team
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.
About the Role
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.
Responsibilities
- Design and build multi-agent AI systems in Python that handle complex, multi-step business workflows - qualification, email generation, routing, enrichment, and outbound orchestration
- Architect model-agnostic abstraction layers that decouple business logic from LLM providers, enabling flexibility across Claude, GPT, and open-source models
- Build and operate backend services (FastAPI/Flask) deployed on Kubernetes with CI/CD, managing the full lifecycle from deployment configuration to production reliability
- Design tool-use patterns for AI agents - structured function calling, multi-step reasoning, state management across conversation turns, and graceful handling of model failures
- Build integrations across external systems (CRM, enrichment APIs, outreach platforms, Slack) with proper error handling, retries, rate limiting, and data contracts
- Instrument and monitor AI systems in production — build observability into agent behavior, track success rates, detect regressions, and debug non-deterministic failures
- Design and run experiments (A/B tests, prompt variations, model comparisons) with proper evaluation infrastructure to measure what's actually working
Requirements
- 2+ years of software engineering experience building backend services in Python
- Production experience building multi-step AI agent systems — stateful workflows where models make decisions, call tools, and operate across multiple turns, not single-shot API wrappers
- Strong understanding of LLM internals as they affect system design: context window management, token budgets, cost/latency/capability tradeoffs across models, structured outputs, and strategies for handling hallucination and refusals
- Experience testing and evaluating non-deterministic AI systems — you understand that assert output == expected doesn't work and have built or used alternatives
- Solid software architecture fundamentals: API design, state management, fault tolerance, and graceful degradation when upstream services fail
- Production experience with containerized deployments (Docker, Kubernetes) and CI/CD pipelines
- Experience integrating with external APIs at scale — auth flows, rate limiting, retries, data normalization, and managing the operational complexity of multiple third-party dependencies
- Proficiency with SQL and data systems for building targeting, enrichment, and analytics pipelines
- Built observability into production systems — structured logging, tracing, alerting, and monitoring that you actually use to debug issues
- High ownership: you deploy your own code, investigate your own incidents, and close the loop between what you shipped and how it performs
Nice to Have
- Experience with specific GTM/RevOps systems (Salesforce, Apollo, Lusha, enrichment providers) or similar complex business platforms
- Background in growth engineering, marketing automation, or revenue operations tooling
- Experience with Slack bot development or conversational AI interfaces
- Contributions to or experience with open-source AI agent frameworks
- Familiarity with ArgoCD, StatefulSets, or Kubernetes operations beyond basic deployments
Job Roles at Telnyx
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Get Access To All JobsTips for Finding Telnyx Visa Sponsorship Jobs USA
Target engineering and infrastructure roles
Telnyx builds its own global network infrastructure, so roles in software engineering, network architecture, and platform reliability are core to the business and represent the strongest sponsorship opportunities for international candidates at this company.
Highlight telecom or cloud communications experience
Telnyx differentiates itself with carrier-grade infrastructure. Candidates who can demonstrate hands-on experience with VoIP, SIP, PSTN integration, or cloud communications platforms are more competitive when applying for sponsored roles here.
Understand which visa types Telnyx supports
Telnyx has sponsored H-1B visas, Green Cards, and supports F-1 OPT and CPT candidates. If you are on OPT, this can be a strong entry point before transitioning to H-1B sponsorship in subsequent years.
Apply before OPT deadlines if you are on F-1
Telnyx supports F-1 OPT and CPT, giving you time to prove your value before H-1B sponsorship becomes the next step. Start your job search early enough to secure an offer with room to file before your OPT expires.
Filter for verified sponsors before applying
Not every telecom company sponsors visas consistently. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your applications on companies like Telnyx that have an active track record.
Prepare for a technical interview process
Telnyx is a deeply technical company operating its own network. Expect system design, distributed systems, and networking fundamentals to feature in interviews. A strong technical showing makes it easier for the company to build an H-1B case around your specialized skills.
Frequently Asked Questions
Does Telnyx sponsor H-1B visas?
Yes, Telnyx sponsors H-1B visas. The company has a consistent record of filing H-1B petitions, primarily for technical roles in software engineering, network infrastructure, and related disciplines. If you are targeting an H-1B sponsor in the telecommunications infrastructure space, Telnyx is worth pursuing, particularly if your background aligns with their core engineering work.
What visa types does Telnyx sponsor?
Telnyx sponsors H-1B visas and has supported Green Card sponsorship for longer-tenured employees. The company also works with F-1 OPT and CPT candidates, making it accessible for recent graduates still building their U.S. work history. TN visas have also appeared in their sponsorship profile, which is relevant for Canadian and Mexican nationals in qualifying roles.
Which departments or roles at Telnyx are most likely to be sponsored?
Engineering is where Telnyx concentrates most of its sponsored hiring. Roles in backend development, network engineering, platform reliability, and cloud infrastructure tend to require the specialized skills that support H-1B specialty occupation filings. Product and data roles occasionally appear as well, but technical engineering positions represent the clearest path to sponsorship at Telnyx.
How do I find open visa-sponsored jobs at Telnyx?
Migrate Mate is the most reliable way to find roles at Telnyx and other verified sponsors. Because Migrate Mate is built specifically for international job seekers, you can filter by company sponsorship history and visa type rather than guessing which postings might lead to sponsorship. This saves significant time compared to browsing general job boards where sponsorship information is rarely clear upfront.
How do I approach the application process at Telnyx as an international candidate?
Tailor your application to Telnyx's technical depth. The company operates carrier-grade infrastructure, so demonstrating hands-on experience with networking, distributed systems, or cloud communications gives you a concrete advantage. If you are on F-1 OPT, apply early enough to allow time for onboarding before your authorization window closes. For H-1B candidates, be prepared to discuss your specialized expertise clearly, as this forms the foundation of any sponsorship petition.