ABM Operations Manager, AI & Automation

Overview

In this role, you will design and implement AI-powered ABM workflows to automate five areas: paid media, landing pages, content personalization, direct mail, and analytics. You’ll map current processes, build scalable AI templates, and establish guardrails so the team can focus on strategy and creative work. You’ll collaborate with Marketing Operations and Brand to align on standards, data, and asset quality, while documenting workflows for self-sufficiency. This position offers impact by accelerating personalized outreach at scale and tying ABM activities to measurable outcomes.

Responsibilities

• Map and optimize five ABM operations areas (paid media, landing pages, content personalization, direct mail, analytics) and define automation roadmap
• Build and maintain AI workflows using Claude, n8n, Folloze and HubSpot
• Partner with Marketing Operations to leverage shared martech stack and ensure cross-team capability
• Set brand and quality guardrails for AI-generated assets and manage light review process
• Document workflows and train the team for autonomous operation
• Own ABM ad operations setup and execution at account and contact level
• Create on-brand ad variants by account/segment/buying group and run channel experiments
• Close data feedback loop to feed ABM planning with engagement results
• Develop landing page templates and components for account/segment pages with AI
• Turn existing content into account-tailored assets (one-pagers, guides, follow-up material)
• Design a scalable direct mail framework with vendor setup, data quality, GDPR compliance, budgeting, and ROI tracking
• Define ABM program metrics with Head of ABM and Marketing Operations and maintain cross-platform data quality
• Measure AI workflow impact on time saved, asset cost, and speed from brief to launch

Key requirements

• 4+ years in B2B ABM, demand generation, growth marketing, GTM engineering, or marketing operations
• Solid understanding of B2B paid media (preferably LinkedIn) including structure, targeting, bidding, and metrics
• Proven track record designing and shipping AI/automation workflows
• Hands-on experience with LLMs: prompt design, structured outputs, data/tool integration, output quality assessment
• Experience building automations in n8n, Make, Zapier, Workato or similar with APIs, webhooks, JSON, error handling
• Process mindset for mapping, breaking, and replacing workflows, with a focus on repeatability
• Good judgment on AI output quality for production rollout

• collaborative
• data-driven
• detail-oriented
• AI/ML workflow design
• prompt engineering for LLMs
• n8n/Make/Zapier/Workato automation

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