Go-To-Market Engineer I, SMB

Apollo.io is a leading go-to-market solution for revenue teams, trusted by over 500,000 companies. They are seeking a Go-To-Market Engineer I for their SMB team, responsible for designing and executing scalable GTM campaigns, advising customers on GTM strategy, and ensuring customer outcomes post-sale.

Responsibilities:

• 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

Requirements:

• 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