Senior Gtm Engineer, Marketing Operations

Webflow Webflow · Enterprise · CA · Remote · Sales

The Senior GTM Engineer, Marketing Operations will be responsible for scaling the intelligence, automation, and data infrastructure for Webflow's go-to-market motion. This includes designing and building multi-system automation workflows, predictive scoring models, and managing data integration across various systems. The role also involves optimizing the cost of automated workflows, including LLM usage, and evaluating new AI tools to improve GTM intelligence and productivity.

What you'd actually do

  1. Design, build, and maintain multi-system automation workflows that power data enrichment, automated outreach and actioning, lifecycle stage progression, and field intelligence across Webflow’s marketing, partner and sales motions, with an initial focus on our partner and agency ecosystem.
  2. Build and maintain predictive scoring models for accounts and people, combining product signals, firmographic data, behavioral data, and third-party enrichment to surface the right targets at the right time for the right teams.
  3. Own the data modeling and integration work required to shape, clean, and route account and contact data across systems — including SFDC, Marketo, Clay, and Snowflake — with a specific focus on building a reliable agency and service provider data layer.
  4. Architect and implement automated outreach, lead lifecycle automation and field workflow optimizations that improve speed-to-lead, reduce manual handoffs, and scale GTM execution without adding operational overhead.
  5. Manage and optimize the cost and credit efficiency of automated workflows, including LLM usage, Clay runs, enrichment calls, and API usage — balancing performance with operational spend.

Skills

Required

  • 5+ years of hands-on GTM engineering, marketing operations, or revenue operations experience in a SaaS environment or equivalent relevant experience
  • Deep Salesforce & MAP experience
  • Proven experience building automations in Clay, n8n, Make, Zapier, or similar workflow automation tools
  • Deep familiarity with the cost mechanics of automated workflows: you actively manage Clay credit consumption, LLM API costs, enrichment call volume, and runbook efficiency as part of how you build
  • Experience building and consuming API and MCP integrations to connect systems, trigger workflows, and extend the capabilities of GTM tooling

Nice to have

  • Systems thinker with a builder’s instinct
  • Strong track record in data enrichment for GTM motions
  • Built or maintained predictive scoring models
  • Think about automation cost the way an engineer thinks about performance
  • Strong cross-functional partner

What the JD emphasized

  • Deep Salesforce & MAP experience
  • Proven experience building automations in Clay, n8n, Make, Zapier, or similar workflow automation tools
  • Deep familiarity with the cost mechanics of automated workflows
  • Experience building and consuming API and MCP integrations

Other signals

  • AI-native Digital Experience Platform
  • scale the intelligence, automation, and data infrastructure
  • predictive scoring models
  • Evaluate and implement emerging AI tools