Senior GTM Engineer, Marketing Operations

Responsibilities

• Design, build, and maintain multi-system automation workflows that power data enrichment, automated outreach and actioning, lifecycle stage progression, and field intelligence across marketing, partner and sales motions, with an initial focus on the partner and agency ecosystem.
• Build and maintain predictive scoring models for accounts and people, combining product signals, firmographic data, behavioral data, and third-party enrichment.
• 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.
• Architect and implement automated outreach, lead lifecycle automation and field workflow optimizations that improve speed-to-lead, reduce manual handoffs, and scale GTM execution.
• Manage and optimize the cost and credit efficiency of automated workflows, including LLM usage, Clay runs, enrichment calls, and API usage.
• Partner with GTM stakeholders across marketing, sales development, partnerships, and revenue operations to translate business problems into scalable technical solutions, and maintain clear documentation.
• Evaluate and implement emerging AI tools and MCP integrations that meaningfully improve GTM intelligence, automation quality, or team productivity.

Requirements

• 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 — understand complex Salesforce object schemas and relational databases, and can dictate build steps and requirements for the Business Technology team.
• Proven experience building automations in Clay, n8n, Make, Zapier, or similar workflow automation tools — from initial scoping through production deployment.
• Deep familiarity with the cost mechanics of automated workflows: actively manage Clay credit consumption, LLM API costs, enrichment call volume, and runbook efficiency.
• Experience building and consuming API and MCP integrations to connect systems, trigger workflows, and extend the capabilities of GTM tooling.

Nice-to-Haves

• Strong track record in data enrichment for GTM motions — sourcing, normalizing, and routing account and person data at scale.
• Experience building or maintaining predictive scoring models for MQL, account prioritization, or intent.
• Systems thinker with a builder’s instinct — comfortable moving between architecture decisions and hands-on implementation.
• Strong cross-functional partner — translate ambiguous business requirements into concrete technical specs and communicate tradeoffs clearly to non-technical stakeholders.