omnea - GTM Systems Engineer

• We're hiring a GTM Systems Engineer to architect, automate, and scale our revenue engine. This is a high-impact, mid-level role for a builder who blends technical depth with go-to-market strategy. • You won't just manage tools or run campaigns — you'll design and engineer the infrastructure that powers Sales, Marketing, and Customer Success. You'll integrate best-in-class platforms, build intelligent automations and AI agents, and create clean, reliable data flows that enable hyper-targeted outreach, faster sales cycles, and measurable revenue growth. • This role is ideal for a developer-minded operator who wants to build custom solutions, not just configure SaaS tools. You'll work closely with leadership and field teams to translate commercial strategy into scalable, programmatic systems. • We believe in talent density. It took us over 10,000 interviews to hire our first 50 Omneans. You'll be working with operators from places like McKinsey, JPMorgan, Meta, YC, and high-growth startups. • WHAT CAN YOU EXPECT? • Architect the revenue engine — design, build, and optimise automated workflows across the full funnel: lead qualification, enrichment, nurturing, routing, and omnichannel outreach. Translate GTM strategy into scalable systems that convert pipeline into revenue efficiently. • Build with AI — design and deploy AI agents to automate account research, generate personalised messaging, reduce manual data entry, and provide pre-call intelligence. Leverage modern GTM AI tools (e.g., Clay, Gong, Claude, enrichment APIs, automation platforms) and continuously evaluate new solutions to drive operational leverage. • Power decisions with data — build and manage data pipelines for lead enrichment (firmographics, technographics, intent data). Monitor funnel metrics and conversion rates, conduct root-cause analysis to identify bottlenecks, and systematically test improvements. • Partner across the business — work closely with Revenue Operations, Sales, Marketing, Customer Experience, and Leadership. Translate complex technical systems into clear business outcomes, gather requirements, ship v1 solutions quickly, and iterate based on real-world feedback.