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
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
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