matia - Revenue Operations Lead
Requirements
• 3 or more years in revenue operations, sales operations, marketing operations, or GTM engineering at a B2B SaaS company • Hands-on fluency with a modern GTM stack (CRM, marketing automation, enrichment, and reporting tools) • Comfort with APIs, webhooks, and automation tooling; you don't need to be a software engineer, but you should be able to wire systems together and build workflows without waiting on one • Strong analytical skills and a bias toward action, even when things aren’t perfect • Excellent communication and the ability to partner across sales, marketing, finance and leadership • Obsessed with AI is a must. You instinctively ask how to automate things, leverage MCPs, reach for AI before manual work, and build systems that compound. • With AI usage comes discernment. You know what good looks like. You have taste and a high bar, and you ship quality and iterate • Startup experience and comfort with ambiguity and a fast-moving environment; you will own this function end-to-end and need to feel comfortable building from zero • Familiarity with the modern data stack or data tooling ecosystem (better yet, you’ve used ETL tools in your role) • Experience building a RevOps or GTM engineering function from zero to one • Light scripting experience (Python, SQL, or similar) for data work and automation • Current text stack: HubSpot, Apollo, GA, Clay, Other intent providers
Responsibilities
• REVENUE OPERATIONS • Own the GTM tech stack end-to-end, including CRM, marketing automation, enrichment, and reporting tools • Build and maintain pipeline reporting, forecasting, and the metrics leadership uses to make decisions • Design and run lead routing, lead scoring, and attribution so the right work gets credited and the right leads reach the right people; assist growth • Establish clean data hygiene, definitions, and process across the funnel so everyone trusts the numbers • Own territory planning end-to-end, including segment design, account assignment, coverage models, and quota and capacity planning • GTM ENGINEERING • Build automations and integrations that connect the GTM stack and remove manual work, using APIs, webhooks, and modern tooling including AI agents • Build, deploy, and manage AI systems and agents across the GTM motion, and own them in production: monitoring, evaluating, and improving them over time • Develop and operationalize workflows for outbound, enrichment, and personalization at scale • Treat the go-to-market motion as a system to be engineered, instrumented, and continuously improved • Prototype and ship internal tools that give sales and marketing leverage they don't have today • Partner with sales to surface the right accounts, signals, and insights at the right time • Support marketing operations including campaign tracking, segmentation, and program measurement • Build the operational backbone for new GTM programs as we launch them • Surface insights from across the funnel to inform strategy and where we invest next
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