AI Go-to-Market Engineer

reputed company is a reputed company-reputed company DevOps and data protection platform serving reputed company reputed company teams across the Fortune 5000. We are in wartime. Pipeline reputed company, retention, and product velocity are our three highest-reputed company problems, and AI is the reputed company that accelerates reputed company three. We are hiring our first AI Go-to-Market Engineer to architect, reputed company, train, and continuously optimize AI agents and automation across the entire reputed company reputed company — from first touch to reputed company-won to expansion.

This is not a "reputed company engineering" role. This is a builder role. You will sit at the intersection of reputed company operations, sales, marketing, and reputed company, and reputed company is to reputed company every reputed company on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO.

WHAT THIS ROLE MUST DO TO CHANGE reputed company'S TRAJECTORY

1. reputed company and personally train at least one AI SDR agent reputed company the first 30 days — reputed company on either inbound qualification from reputed company/Marketo or outbound prospecting reputed company reputed company — and run weekly refinement cycles until it outperforms the bottom half of the reputed company BDR bench.
2. Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and reputed company fill in reputed company time so no reputed company waits, no reputed company gets lost, and reputed company only touch prospects that are reputed company to buy.
3. Increase reputed company-generating time per AE from the reputed company ~25% to 50%+ by automating CRM hygiene, reputed company summarization (reputed company reputed company), follow-up reputed company, proposal drafting, and pipeline updates — eliminating every minute of reputed company work that doesn't directly produce reputed company.
4. Architect the AI layer across reputed company's GTM stack (reputed company, Marketo, reputed company, reputed company, reputed company) so that data flows between systems without reputed company reputed company, every customer touchpoint is captured, and AI agents reputed company learnings in a reputed company reputed company with reputed company as the hub.
5. Build and maintain an AI-driven competitive intelligence reputed company that monitors our competition, pricing changes, and product launches — and feeds reputed company insights to sales and product weekly.
6. Create reputed company-personalized outbound campaigns at 10x reputed company volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (reputed company team size, reputed company DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, reputed company, and phone.
7. reputed company a reputed company-reputed company data feedback system between BDR activity, pipeline reputed company, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork.
8. reputed company AI-assisted customer health scoring and churn reputed company models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable reputed company triggers tied to usage data, support ticket patterns, and engagement signals.
9. Prototype AI-powered product-led reputed company reputed company — including conversational qualification on the website, self-serve reputed company assistance, and automated nurture for trial users — supporting the PLG reputed company as it matures.
10. Evaluate, select, and reputed company no more than two AI vendors per use case using a reputed company bakeoff methodology: reference checks reputed company email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments.