Revops / GTM Engineering Lead

About the role

Build the infrastructure that makes our revenue engine reliable and scalable. Zeno is scaling its go-to-market across Benelux and into new markets. To do that well, we need the systems, data and automations underneath to actually work. That is what this role is about. As our first RevOps / GTM Engineering Lead, you will own the tools and workflows that move leads through the funnel, keep our data trustworthy and give Sales, Marketing and CS a clear picture of what is happening at any point in the pipeline. You will also be the person connecting our product usage data to our revenue systems and, increasingly, integrating AI into the workflows that reduce manual work and improve decision-making across the team. This is a senior individual contributor role with full ownership of the revenue infrastructure. You will work closely with Sales, Marketing and CS leadership, serving as the connective tissue that keeps data flowing cleanly across all of them. The role What You'll own Our GTM tool stack (CRM, data enrichment, outreach sequencing and analytics), selecting, integrating and keeping it running well The revenue data model: one clean, consistent view of the funnel that all GTM teams can trust Lead scoring, routing and handoff workflows, automated so that the right account reaches the right person without manual intervention Buying signal infrastructure: systems that detect early indicators of interest (hiring patterns, funding events, product usage and tech stack signals) and trigger the right follow-up Data pipelines between our product, CRM and reporting tools, ensuring information flows automatically and accurately Funnel dashboards and pipeline visibility for Sales, Marketing and CS Data quality standards: enrichment, deduplication, validation and attribution, built to stay clean over time AI integration into revenue workflows: automated qualification, outreach triggers and CS alerts What You'll Do Day-to-Day Build and maintain an ICP-based scoring model that identifies best-fit accounts using observable signals: hiring activity, funding events, tech stack changes and similar indicators Set up and manage data enrichment pipelines (using tools like Clay, Cognism, Apollo or similar) so that CRM records are always complete and accurate Build automated workflows that turn buying signals into actions (enriching a record, alerting a rep, or launching an outreach sequence) with minimal manual steps Maintain live, automatically-updated account lists used for outbound, ABM campaigns and paid audience targeting Connect outreach tooling to the right data so sequences reach the right account at the right moment, not just the next name in a static list Set and enforce CRM data standards; build validation rules that prevent incomplete or inaccurate records from entering active pipelines Build and maintain dashboards for pipeline health, stage-to-stage conversion, funnel velocity and forecast accuracy Integrate AI agents into qualification, routing and enrichment workflows to replace repetitive manual tasks Identify where the funnel is slowing down or leaking, diagnose the root cause and fix it What You Bring 4+ years in RevOps, Marketing Ops, Sales Ops or GTM Engineering in a B2B SaaS environment Solid hands-on experience with CRM platforms (HubSpot, Salesforce or similar) and the broader GTM tooling ecosystem Experience with data enrichment and sequencing tools (e.g. Clay, Apollo, Cognism or equivalent) Ability to build integrations and automate workflows without depending on an engineering team Strong understanding of B2B GTM motions, funnel mechanics and ICP-based segmentation Familiarity with revenue frameworks like SPICED is a plus Data-first mindset: you care about accuracy and build systems that stay reliable, not just ones that work on launch day Comfortable making decisions independently and owning outcomes in a lean, fast-moving team What Success Looks Like After 6-12 Months Core GTM stack connected and running cleanly, w

Benefits

Additional Information

We're building a world-class team to redefine knowledge work with AI Zeno is a legal AI startup building a platform that helps lawyers research, review, and draft documents with real legal reasoning - not just text prediction . We're developing technology that can: Search and retrieve statutes, case law, and commentary with high precision. Reason step-by-step , applying legal tests and weighing precedents. Explain every answer transparently , so lawyers can trace conclusions back to the exact sources. Where most tools automate surface-level tasks, we're focused on replicating the way lawyers actually think through legal problems, making depth and trust the foundation of everything we build. You're joining an early-stage startup that is already working with leading firms. Backed with €3M in seed funding , we're now scaling a team of engineers and thinkers who want to solve real problems, drive innovation, and create lasting change in the legal sector.

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