Senior Marketing AI & Systems Manager

Senior Marketing AI & Systems Manager

As a Senior Marketing AI & Systems Manager, you will design, build, and integrate AI tools — including conversational agents, predictive models, and autonomous workflows — directly into our marketing stack to drive growth, personalization, and efficiency.

• Lead the identification and prioritization of AI use cases across the marketing organization, with a focus on efficiency, speed to market, and campaign performance.
• Build multi‑step automated systems that eliminate manual effort and accelerate execution — including automated campaign planning, CRM personalization, lifecycle automation, and intelligent briefing workflows.
• Design and deploy AI‑powered agents and assistants that transform simple inputs — such as target audience, segment, and campaign goal — into complete channel plans, budgets, content briefs, and activation task lists.
• Connect AI systems to Geotab’s sources of truth, including brand guidelines, product documentation, case studies, campaign performance data, and our CRM and marketing automation platforms, to ensure all outputs are accurate, on‑brand, and strategically aligned.
• Implement governance frameworks including citation tracking, tone validation, PII redaction, and human‑in‑the‑loop review steps to ensure AI outputs meet our quality and compliance standards.
• Monitor AI system performance across usage metrics, output quality, cost efficiency, and adoption rates; continuously iterate to improve reliability and value delivery.
• Prototype and implement LLM‑powered tools that support rapid content generation, A/B testing, and the creation of campaign and landing page variants at scale.
• Develop and maintain machine learning approaches to forecast marketing trends, predict customer behavior, and surface insights that inform campaign strategy and budget allocation.
• Rapidly prototype AI solutions and transition them into stable, scalable production environments — balancing speed of experimentation with engineering rigor.
• Ensure all AI systems meet enterprise standards for data privacy, security, and governance throughout the full development lifecycle.
• Own the marketing technology stack strategy and roadmap, with responsibility for evaluating, onboarding, integrating, and optimizing martech tools across the organization.
• Build and maintain robust integrations between platforms including CMS, DAM, marketing automation (Marketo), CRM (Salesforce), analytics (GA4/BI), project management (Jira), and collaboration tools (Slack/Teams) to enable unified data activation and workflow efficiency.
• Partner with third‑party data providers such as Clay, Zoom Info, and 6sense to enrich lead and account data, improving audience targeting and segmentation capabilities across campaigns.
• Ensure data flows cleanly and reliably between systems, maintaining data integrity and enabling accurate measurement across the full marketing funnel.
• Act as the central bridge between technical AI capabilities and marketing strategy — translating complex engineering concepts into actionable approaches for marketing stakeholders, and translating marketing requirements into precise technical specifications.
• Act as a central resource and subject‑matter expert for campaign and segment marketers, enabling them to leverage AI tools and workflows effectively in their day‑to‑day work.
• Partner with the Senior Marketing Automation Manager(s) to align AI initiatives with marketing automation strategy, ensuring cohesive execution across the Marketing Operations team.
• Collaborate closely with the Digital Marketing team on AI‑driven content discoverability initiatives — including how Geotab content surfaces and is cited within AI‑generated search environments such as ChatGPT, Gemini, and Google AI Overviews.
• Partner with Analytics and BI stakeholders to develop reporting frameworks and campaign performance insights that demonstrate the business impact of AI‑driven initiatives.
• Collaborate with IT, Legal, Security, and Data teams to ensure all AI systems and integrations meet enterprise standards for security, privacy, and compliance.
• Champion a culture of experimentation and continuous…