Director of Marketing Engineering & Growth

Skills covered in University

About the role

Build and operate the AI-native growth engine that turns Most Loved Workplace brand authority, CertCheck buyer intent, research, customer conversations, and digital engagement into qualified pipeline and measurable revenue. A hands-on player-coach role reporting to the CEO, at the intersection of marketing strategy, AI automation, demand generation, AEO/GEO, data infrastructure, and revenue operations.

What you'll do

• Own marketing-sourced pipeline and marketing-influenced revenue as the primary commercial KPIs.
• Build the integration layer connecting HubSpot, CertCheck buyer-intent signals, Fireflies, Apollo, LinkedIn, and bestpracticeinstitute.org.
• Build AI-assisted ABM content generated from real sales and customer conversations, under strict confidentiality controls.
• Own AEO/GEO and LLM visibility: structured data, citation and answer-engine monitoring, and authority-content distribution.
• Convert the content calendar into an AI-enabled content and multi-format distribution system, using Supergrow alongside video and design tooling.
• Ship orchestration and agents: n8n or comparable, APIs, lightweight Python or JavaScript, and custom AI agents running in production.
• Build source to opportunity to revenue attribution, plus automated revenue intelligence reporting to the CEO.
• Run rapid, measured experiments across paid, organic, outbound, social, and landing-page conversion.
• Retain strategic oversight of brand positioning and narrative. Partnerships (SHRM, analysts, HR media) are secondary, and PR, media relationships, and executive visibility sit with the CEO and a PR specialist rather than in this role.
• Deliver against the role's scorecard: pipeline and influenced revenue targets, systems shipped and running in production, LLM citation share and answer-engine visibility on buyer questions, attribution coverage of closed-won revenue, falling cost per qualified opportunity, and experiment velocity.

What we're looking for

• Proof you personally built a working AI agent, automation, integration, or marketing system, with the before-and-after commercial result.
• Clarity on your exact contribution versus what an agency or engineering team did.
• Deep HubSpot architecture and attribution ownership: you have designed the model, not just pulled the report.
• API, webhook, and orchestration fluency (n8n or comparable), plus enough coding or vibe-coding to prototype without waiting on engineering.
• AEO/GEO and structured-data literacy, including how answer engines choose their sources.
• Ownership of B2B pipeline as a number you were accountable for, in a senior or player-coach capacity.
• Bonus: HR-tech, employer-brand, or awards and recognition experience. Technical growth-system building is mandatory.
• To apply, send one system you personally built, the before-and-after commercial result, what you built versus what an agency or engineer built, and a five-minute Loom walking through that system. No cover letter required, but applications without a system walkthrough will not be reviewed.

Posted

1 day ago · Aug 10, 2026