Revenue Operations Engineer

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. - We lean in: ownership over titles, outcomes over intentions. - We fight for excellence: high standards, direct, ego-free feedback. - We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. THE ROLE You're the R&D arm of our Revenue Operations function. Where most of the team operates the GTM engine, you build it: enrichment pipelines, AI-augmented workflows, intent-signal automations, and the connective tissue between Salesforce, our warehouse, our marketing stack, and the rest of the GTM tooling we use to compete. You'll ship infrastructure that compounds - every system you build makes the rest of the team more leveraged. This is a high-autonomy, high-impact role. You'll work alongside our Head of RevOps and the broader GTM leadership team to identify where systems can replace ad-hoc work, and then go build it. We expect you to have strong opinions, ship fast, and know when not to automate. WHAT YOU'LL OWN - Enrichment & data infrastructure. Design and run our enrichment waterfalls (Clay, Apollo, ZoomInfo, custom APIs), including fallback logic, monitoring, and quality SLAs. - Signal-to-action workflows. Build the systems that detect buying signals - job changes, funding events, product usage triggers, news and route them to the right rep with the right context. - CRM architecture. Salesforce is our system of record; you'll own custom objects, automation (Flow), validation, and the integration layer between Salesforce, our data warehouse, and activation tools (reverse ETL, sequencers, enablement platforms). - AI-augmented GTM. Build with the AI tools and agents that are reshaping how outbound, scoring, and CS motions work. We expect you to be on the frontier here. - Automation backlog & quality. Maintain the catalogue of workflows, retire what's no longer earning its keep, and ensure everything you ship has alerting, error handling, and idempotency. WHAT YOU'LL BRING - 3+ years building GTM or RevOps infrastructure at a high-growth B2B SaaS company. - Knowledge in SQL and at least one of Python, TypeScript/Node, or equivalent. You can read an API doc, write the integration, and ship it. - Demonstrable depth in Salesforce or HubSpot - custom objects, flows, validation rules, deduplication, sharing models. Not just an admin certification; real architectural judgment. - Hands-on experience with at least one of Clay, n8n, Make, Workato, or Zapier in a production setting (Clay strongly preferred). - Working knowledge of a modern data warehouse (Snowflake, BigQuery, Redshift) and reverse ETL tools (Hightouch, Census). - A portfolio mindset: you can walk us through systems you've built, what they did, and what they moved. OPTIONAL EXPERIENCES - Cold email infrastructure: SPF/DKIM/DMARC, sequencer ops (Instantly, Smartlead, Outreach, Salesloft). - AI agent / LLM tooling for GTM use cases (lead scoring, account researc