Revenue Operations Manager

We are looking for a Revenue Operations Manager to help us scale our GTM operations. This is a high-impact, individual contributor role designed for a modern analytics professional who isn't afraid to challenge the status quo.

You will provide deep analytical insights, utilizing AI automation and discovery. You will also develop process and system automation via ai-assisted development. This role sits at the intersection of Revenue Operations and GTM Engineering—your mission is to build a lean, data-driven, and highly automated go-to-market machine that removes friction and scales our growth.

- Next-Gen Tech Evaluation: Ensure our tech stack is built to scale in an ai-first world. You will own the evaluation of our GTM technology.

- Analytics: You will design, build, and maintain the analytics infrastructure that tracks performance across the GTM ecosystem

- Strategic Insights: You will provide key insights and recommendations on strategic decisions

- Vibe Coding & Automation: Act as our internal GTM Engineer. Instead of waiting for traditional engineering resources, you will leverage AI development tools to rapidly build, iterate, and deploy custom tools, integrations, and automation workflows.

- Cross-Functional Collaboration: Partner closely with Sales, Marketing, and Post-Sales leaders to identify operational bottlenecks and deploy data-backed solutions.

- Project Execution: Deploy and execute against projects and strategic initiatives

- Workflow Automation: Identify manual bottlenecks across the lead-to-cash lifecycle and engineer automated solutions to reduce "human-in-the-loop" friction and increase team velocity.

- The "Vibe Coding" Edge: You must have a proven track record of using modern AI coding assistants (Cursor, Claude Engineer, v0, etc.) to build functional tools, scripts, or workflows.

- Data & Analytics Rigor: Strong background in data analytics with a passion for clean data architectures, funnel metrics, and actionable reporting.

- CRM & Tooling Curiosity: Experience managing traditional tech stacks, but a willingness to deploy new technologies.