RevTech Architect - AI-Driven GTM Systems

Cloudflare, Inc.; Vermont; Remote; USD 120,000 - 165,000; Full time

Benefits offered by this job

Equity plan

Health benefits

401(k)

Job summary

Cloudflare, Inc. seeks a RevOps Technologist to shape future-state workflows and scale its RevOps technology roadmap. This senior IC will blend deep sales ops know-how with hands-on technical fluency to optimize systems across CRM, forecasting, and data platforms.

You will lead Build/Buy/Blend decisions, prototype AI-enabled capabilities, and partner with IT/Engineering to move solutions into production. A broad end-to-end view across workflows and data is essential.

Qualifications

• Bachelor’s degree in business, IT, marketing, or a technical field.
• Experience in Revenue Operations or GTM systems in B2B SaaS is preferred.
• Hands-on experience with AI, agents, and automation to prototype solutions.

Responsibilities

• Shape the AI-first RevOps technology roadmap across internal systems and vendor platforms.
• Architect solutions that work with CRM, sales engagement, forecasting, and data tools.
• Translate capabilities into clear requirements balancing user experience and scalability.
• Partner with IT/Engineering to move validated solutions toward production.
• Define governance and guardrails for RevTech and AI use cases.

Skills

AI & automation

Cross-functional collaboration

GTM systems knowledge

Vendor management

APIs & data flows

Education

Bachelor’s degree in business, IT, marketing, or technical field

Tools

Salesforce

Clari

Gong

Outreach

ZoomInfo

Highspot

LinkedIn Navigator

Clay

Job description

Cloudflare, Inc. seeks a RevOps Technologist to shape future-state workflows and scale its RevOps technology roadmap. This senior IC will blend deep sales ops know-how with hands-on technical fluency to optimize systems across CRM, forecasting, and data platforms.

You will lead Build/Buy/Blend decisions, prototype AI-enabled capabilities, and partner with IT/Engineering to move solutions into production. A broad end-to-end view across workflows and data is essential.