Senior GTM Engineer

<p><strong>The Opportunity</strong></p> <p>We are a B2B AI SaaS company in active transition from a product-led growth model to a combined PLG + sales-led motion. Our CRM, data, and workflow infrastructure was built for self-serve — it was not built for an outbound sales team running MEDDIC-qualified opportunities across four market segments. This role closes that gap.</p> <p>The GTM Engineer is a builder first. You will own the technical plumbing that connects our go-to-market systems — ensuring data flows cleanly, workflows run reliably, and our reps spend time selling instead of wrestling with tooling. This is a founding operational role: you will set the architectural standards others build on.</p> <p><strong>Your Impact</strong></p> <ul> <li> <p><strong>Data Enrichment &amp; Hygiene</strong></p> <ul> <li>Own the end-to-end data enrichment pipeline using Clay and ZoomInfo — from ingestion and deduplication through CRM sync.</li> <li>Define and enforce data governance standards: required fields, input formats, ownership rules, and freshness SLAs.</li> <li>Instrument lead scoring, ICP scoring, and routing logic to ensure MQLs land with the right rep, at the right time, with the right context.</li> <li>Build PLG → SLG handoff data flows: surface self-serve product signals (PQLs) in Salesforce as first-class pipeline inputs.</li> </ul> <p><strong>Workflow Automation &amp; Integrations</strong></p> <ul> <li>Design and maintain the integration architecture across the GTM stack using Zapier, Workato, or equivalent iPaaS tooling.</li> <li>Automate high-friction manual processes — rep task creation, deal stage alerts, stall detection, Slack notifications for pipeline events.</li> <li>Build and maintain Outreach sequence infrastructure: template governance, A/B testing frameworks, performance attribution back to Salesforce opportunities.</li> <li>Ensure reliable, low-latency data sync across Salesforce, Outreach, ZoomInfo, Clay, and downstream tools.</li> </ul> <p><strong>AI &amp; LLM-Powered Automations</strong></p> <ul> <li>Evaluate, pilot, and operationalize AI tools that drive measurable rep productivity — call summarization, email generation, deal coaching, CRM auto-fill.</li> <li>Build lightweight LLM-powered automations (e.g., auto-populating MEDDIC fields from call transcripts, generating next-step suggestions from deal history).</li> <li>Establish a structured evaluation framework for AI vendors — measuring adoption, productivity delta, and ROI before committing to contracts.</li> </ul> </li> </ul> <p><strong>We're Looking For Someone Who:</strong></p> <ul> <li>H