Senior Marketing AI Manager

<p><strong data-start="560" data-end="588">*** Hybrid Work Environment:</strong> We believe in the value of in-person collaboration. This role requires team members to work from our Chicago office two days per week, with the flexibility to work remotely on other days ***</p> <h1>Your Mission</h1> <p>As a Senior Marketing AI Manager, you will be responsible for building and running the AI operating layer in the Marketing Team. Your role, as a senior horizontal enabler, will be to make Product Marketing, Brand Marketing, and Integrated Marketing significantly more productive by turning applicable work into governed AI workflows, reusable agents, and shared systems.</p> <h1><strong>We offer you the opportunity to</strong></h1> <ul> <li><strong>Marketing AI operating model:</strong> Define how AI is used across the marketing organization, including approved tools, role-based use cases, prompt and evaluation standards, human-review rules, and lightweight governance for accuracy, brand consistency, and responsible data handling.</li> <li><strong>Workflow and agent development:</strong> Design, build, test, and improve reusable AI workflows and agents for high-value marketing jobs such as competitive battle cards, launch-plan builders, sales-enablement copilots, pitch-deck builders, win-loss synthesis, brand-guardrail workflows, content brief generation, email drafting, social monitoring, visualization support, and other recurring tasks.</li> <li><strong>Environment and systems setup:</strong> Create the working environment that makes those workflows usable in practice by connecting the right tools, data sources, templates, and automations across the marketing stack. Partner with RevOps, IT, and Security where integrations, access controls, or vendor review are required.</li> <li><strong>Adoption and enablement:</strong> Train the marketing team through onboarding, workshops, quick-start guides, templates, documentation and coaching. Build repeatable skills, not just one-time excitement.</li> <li><strong>Intake and prioritization:</strong> Run a pragmatic backlog of AI initiatives and requests, prioritizing the highest-frequency, highest-friction, highest-impact use cases across the team.</li> <li><strong>Measurement and iteration:</strong> Track adoption, time saved, cycle-time reduction, usage, output quality, and pipeline-adjacent impact. Continuously improve workflows based on team feedback and business results.</li> <li><strong>Continued Learning:</strong> Stay up to date with emerging AI tools, trends, and best practices, and continuously translate them into practical applications for the team</li> </ul> <h1><strong>Become a part of our team if you</strong></h