cloudflare
GTM Engineer
At a Glance
- Location
- Hybrid
- Experience
- 3+ years
- Compensation
- ed hires: Estimated salary of $161,000 - $287,000 For Bay Area-based hires: Est
- Department
- ProductSales
- Posted
- 2026-06-08T13:39:06-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
Benefits & Perks
ogram Global Travel Medical Insurance Short and Long Term Disability Insuran
Requirements
3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role, ideally at a high-growth, AI-native B2B company
Direct experience with Salesforce.
You know the data model, you've built on it, and you're comfortable owning changes
Fluency with AI coding assistants - you're actively building with these tools, not just experimenting with them
A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
A fundamental understanding of APIs and webhooks to integrate third-party systems
Compensation & Benefits
Compensation may be adjusted depending on work location.
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated salary of $161,000 - $287,000
For Bay Area-based hires: Estimated annual salary of $168,000 - $303,000
For Portugal based hires: Estimated annual salary is between €68,000 - €94,000.
The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements.
This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual
Responsibilities
Design and maintain the data foundation our Specialist GTM org runs on, spanning account and contact data quality, enrichment workflows, and data provider orchestration across our stack
Audit the stack and generate your own backlog.
We have a lot of tools, some overlap, and real gaps.
Walk in with a point of view, identify what's missing or broken, and prioritize accordingly, without waiting to be handed a roadmap
Ship rep productivity workflows fast: triage asks from the field, identify the low-hanging fruit, and build it, biasing for shipping small + fast and iterating vs designing the perfect solution
You anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later