Cloudflare
Principal, GTM Automation, RevOps.
$160K–$230K
Distributed +2 · Principal · Full-time · Posted Oct 23, 2026
- Location
- Distributed
Austin, TX, United States
San Francisco, CA, United States - Experience
- 10+ years in specified fields; several years owning systems from design through production support at staff level or above.
- Visa sponsorship
- Offers may be conditioned on authorization to receive software or technology controlled under U.S. export laws without sponsorship for an export license.
About the job
Build and operate AI agents and automation for Cloudflare’s revenue organization, improving go-to-market workflows while maintaining human oversight and measuring business impact.
What you'll do
- Design and maintain agentic workflows for revenue tasks, with safeguards, monitoring, evaluation, and rollback processes.
- Architect integrations with Salesforce, data warehouses, and revenue data sources; build signals for prioritization, routing, and next-best actions.
- Partner with revenue leaders to select automation opportunities, measure adoption and impact, and document and maintain shipped systems.
What they ask for
- 10+ years in software engineering, data engineering, GTM automation, or revenue systems, including several years owning systems through production support at staff level or above.
- At least one LLM-powered workflow or agent relied on by a business team in production.
- Strong Python or TypeScript and SQL; writes tested code and reviews AI-generated code.
- Hands-on Salesforce experience with its data model, Flow, APIs, and permissions; experience with SaaS REST APIs and webhooks, and a data warehouse such as BigQuery or Snowflake.
Nice to have
- Working knowledge of enrichment and signal tools such as D&B, ZoomInfo, and HG Insights.
Pay
USD $184,000-$230,000 annual salary (base salary); USD $160,000 - $210,000 annual salary (base salary)
Tools
Python, TypeScript, SQL, Salesforce, Flow, BigQuery, Snowflake, REST APIs
AI focus
Build and operate LLM-powered agents and workflows for revenue operations; determine where AI is appropriate and where human judgment is required, with production evaluation, monitoring, safeguards, and rollback.
Model-written summary · the original posting is authoritative