GTM Data Platform Engineer

Webhosting; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Cloudflare in Austin, TX is seeking an experienced software engineer to own the GTM-facing data products our sales motion relies on. You will shape the data foundation, signals, and automation that alert reps on priority accounts, building on Cloudflare’s developer platform.

You’ll lead cross-functional projects spanning multiple teams, with autonomy to drive delivery. Expect a fast-paced environment that blends data engineering, full-stack product work, and applied AI to move the business

Qualifications

• 10+ years of software engineering with data initiatives.
• Deep expertise in distributed systems and production infrastructure.
• Strong Go and TypeScript knowledge.
• Advanced SQL and data modeling skills.
• Able to navigate ambiguous problems and drive autonomous projects.

Responsibilities

• Design and implement features in Golang, Typescript and SQL.
• Operate production services on Cloudflare Workers and Kubernetes.
• Own data foundation including Query Engine, Workflows, MCP/APIs.
• Drive end-to-end projects from design to deployment.
• Participate in on-call rotations and write postmortems.
• Leverage AI to accelerate development and debugging.
• Collaborate across teams on capacity planning and API contracts.
• Embed with Sales, Marketing, DevRel, and Growth to ship software.
• Help set engineering standards for GTM.

Skills

Go

TypeScript

Distributed systems

SQL

Data engineering

AI tooling

Autonomy

Tools

Cloudflare Workers

Kubernetes

SQL databases

Job description

Cloudflare in Austin, TX is seeking an experienced software engineer to own the GTM-facing data products our sales motion relies on. You will shape the data foundation, signals, and automation that alert reps on priority accounts, building on Cloudflare’s developer platform.

You’ll lead cross-functional projects spanning multiple teams, with autonomy to drive delivery. Expect a fast-paced environment that blends data engineering, full-stack product work, and applied AI to move the business