We're looking for a GTM Engineer to join Apollo's SMB team — a rare blend of outbound campaign strategist, AI-native systems builder, and trusted customer advisor. This role is for someone who thrives at the intersection of modern go-to-market execution and intelligent automation: designing and deploying scalable intervention playbooks that drive adoption, credit consumption, and revenue growth across a high-volume book of accounts.

The GTM Engineer is Apollo's improvement on the CSM: a success architect who doesn't just manage relationships — they build the systems that make those relationships scale.

What You'll Do

• Own customer outcomes post-sale: GRR (95%+), NRR, product adoption, and credit consumption growth across your Managed book of accounts.
• Design and execute GTM campaigns at scale: Build layered, signal-based outbound workflows — from ICP definition and enrichment logic through to messaging, sequencing, and feedback loops — that drive measurable pipeline and expansion.
• Turn usage data into interventions: Use product telemetry (Apollo, Vitally, Hex) and behavioral signals to identify adoption gaps, expansion triggers, and churn risk across your book — and act on them before customers ask you to.
• Configure Apollo to power AI-driven workflows: Build agentic systems — with appropriate QA and guardrails — that automate and optimize outreach, credit consumption, and seat expansion plays for your accounts.
• Advise customers on GTM strategy: Partner with RevOps, Sales, and Marketing contacts to align Apollo to their pipeline and revenue objectives — and prove ROI with measurable lift.
• Build for the team, not just your book: Create playbooks, campaign templates, and reusable assets that make the entire Managed team more effective.

Who You Are

• 4+ years in RevOps, Growth, Sales Development, or GTM consulting — with a track record of owning campaign performance and customer outcomes.
• AI-native: You're currently designing GTM campaigns, workflows, and systems agentically. You've built with tools beyond foundational models — MCP, n8n, Clay, Bolt, or Lovable — and you understand how to apply QA and guardrails to ensure your systems perform reliably.
• A systems thinker: You spot inefficiencies, rebuild broken workflows, and design for repeatability. You don't just execute playbooks — you improve them.
• Data-fluent: You make decisions from signals, not gut feel. ICP, TAM, SAM, conversion rates, and attribution models are core to how you think about GTM performance.
• Execution-obsessed: You manage a high-volume book with discipline — structured weekly rhythms, clear prioritization, and a bias toward impact over activity.
• Customer-facing and outcome-oriented: You build relationships that stick and measure your success by your customers' results, not just your own activity metrics.