GTM Systems & Automation Lead (Remote)

About the Team

The RevOps team owns the systems layer, operations & automation that supports Telnyx's growth engine. Historically, that meant administering 3rd party GTM tools used by humans: CRM, 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.

The Role

We are looking for a TPM, GTM Systems to own and improve the operating layer behind Telnyx's revenue engine.

This is a builder-operator role. You will not just maintain a queue of admin tickets. You will identify recurring friction, stabilize workflows, document how systems should work, and turn repeated manual work into scalable automation.

You will work across RevOps, Sales, Marketing, Customer Success, Finance, and Engineering to keep the GTM stack reliable and optimal while helping the team transition from vendor-heavy, manual workflows toward owned systems and AI-powered automation.

This role is ideal for someone who has lived inside GTM systems, understands how revenue teams actually operate, and is technical enough to connect systems, debug workflows, and partner with engineers without needing every problem handed off.

What You'll Do

• Lead cross-functional GTM systems programs from discovery through launch, adoption, and iteration
• Translate business workflows into clear technical requirements, system designs, milestones, owners, risks, and success metrics
• Partner with RevOps, Engineering, Data, Sales, Marketing, CS, and Finance to modernize the GTM operating layer
• Drive programs around CRM architecture, routing, enrichment, handoffs, lifecycle automation, attribution, service order workflows, reporting dependencies, and AI-agent readiness
• Identify where manual work, vendor glue, or unclear ownership should become durable automation or owned system logic
• Define safe operating patterns for AI agents interacting with GTM systems, including data access, workflow permissions, approval gates, error handling, and auditability
• Create documentation that makes systems understandable: current state, target state, business rules, dependencies, failure modes, launch plans, and open decisions
• Triage systems requests at the program level: distinguish one-off fixes from structural process gaps or productizable automation opportunities
• Manage vendor and tooling dependencies where they affect system architecture, reliability, cost, or roadmap decisions
• Ensure GTM systems work ships with clear ownership, support paths, monitoring, and downstream reporting impact understood

What You'll Bring

• 4+ years of experience in Technical Product Management, Revenue Operations, GTM Systems, GTM Engineering, or a closely related technical operations role
• Strong hands-on experience with CRMs like Salesforce & Hubspot, and a solid understanding of the data models and software architecture they’re built on 
• Experience building AI-native systems where LLMs or agents are first-class users of the product, not just features layered on top of a human workflow
• Ability to reason about agent-facing product requirements: context, tools, permissions, memory, workflow boundaries, human approval points, observability, and failure modes
• Experience leading cross-functional systems programs involving business stakeholders and engineering teams
• Experience taking a lead technical role in software migrations involving critical end-user workflows with 0 down time
• Experience debugging integrations, field sync issues, routing problems, campaign workflow failures, and broken handoffs
• Comfort working with APIs, webhooks, automation tools, data flows, and technical documentation
• Ability to operate independently and thrive in ambiguous, fast-moving environments

What Success Looks Like

In the first 60 days, you will:

• Build a deep understanding of Telnyx’s GTM systems, customer lifecycle, data model, and revenue workflows
• Build your personal AI leverage layer: onboard an agent to Telnyx’s GTM context, teach it the relevant systems and workflows, and create reusable skills that increase the speed and quality of your product discovery, documentation, analysis, and execution
• Map the highest-leverage opportunities to modernize the CRM and GTM operating layer, with a bias toward areas where we can ship quickly and learn from real usage
• Deliver the first set of product requirements for CRM evolution, AI-agent workflows, data model improvements, or automation surfaces
• Partner with RevOps, Sales, CS, Finance, Data, Product, and Engineering to define and begin executing the first roadmap for AI GTM Systems
• Ship or directly drive early improvements to one or more high-friction GTM workflows, such as CRM data quality, routing, handoffs, reporting dependencies, service order workflows, or agent-assisted work
• Establish feedback loops with users so shipped changes are measured, adopted, and iterated quickly
• Identify the next product surfaces where AI agents can safely reduce manual work and improve revenue-team effectiveness

Over time, success means:

• Telnyx has a clear product roadmap for its AI-native GTM operating system
• CRM, workflow, and automation investments are driven by user needs, business impact, and system scalability
• High-friction GTM workflows are continuously improved, shipped, measured, and iterated
• Repeated manual work becomes owned system logic, durable automation, or agent-assisted workflow
• Sales, Marketing, Customer Success, Finance, RevOps, and Engineering operate from cleaner data, clearer ownership, and more reliable systems
• Engineers spend less time on reactive GTM systems issues because requirements, ownership, and operating paths are clearer
• AI agents and automation can depend on clean data, safe integrations, clear permissions, reliable workflow rules, and well-defined approval boundaries
• Revenue teams spend less time maintaining systems and more time acting on trusted customer intelligence

Why This Role Matters

Telnyx is building the next version of its GTM operating system: one where revenue teams and AI agents can work from trusted data, clear workflows, and safe automation surfaces.

This role owns the product direction for that future. You will help turn fragmented GTM processes into durable systems, reduce manual work, and build the foundation for a more intelligent, automated, and scalable revenue engine.