Note: The job is a remote job and is open to candidates in USA. Matia is at the forefront of the DataOps revolution, building a unified platform that streamlines data infrastructure from end-to-end. They are seeking a Revenue Operations and GTM Engineering leader to own and scale their go-to-market engine, focusing on building systems, data, and automation for revenue generation.
Responsibilities
- 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
- 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
Skills
- 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
Company Overview