Marketing Operations Manager

Responsibilities

• Own campaign execution and execution quality for an assigned business area, from brief through launch, across lifecycle, email, in-product messaging, web, and Meta ads
• Use AI as the primary tool for execution work, including build specification, copy and asset variants, audience logic, and QA
• Build, configure, and test AI agents that execute campaign workflows, and own the automation roadmap for the area, reporting results in turnaround time, cost, and error rate
• Pilot new delivery capabilities, then codify what correct execution looks like and the eval rubrics that hold agents to it
• Advise partners at the brief stage on what is executable and at what cost, and translate execution learnings into platform requirements
• Raise the AI capability of the team through documentation, enablement, and coaching
• Find new ways to continually streamline execution processes, including working with XFNs (if needed) to automate handoff

Requirements

• 6+ years of experience in marketing operations, campaign management, or marketing automation
• Hands-on build experience in at least two digital marketing channels among email, paid social, in-product messaging, web, and SEM or display, with expert-level depth in at least one execution or ads platform (e.g., Salesforce Marketing Cloud, Marketo, HubSpot, Adobe)
• Demonstrated use of AI to produce real marketing work output, with specific examples of what was automated and the measured effect on time, cost, quality, or volume
• Hands-on experience building, configuring, and evaluating AI agents or LLM-based workflows, including prompt iteration and judgment on where output requires human review
• Experience owning campaign execution at portfolio scale, including QA and trade-off decisions across competing requests
• Experience scaling impact beyond own execution, through standards others adopted, requirements platform teams built, and enablement that raised team capability
• Bachelor's Degree or equivalent work experience in digital marketing

Preferred

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience supporting B2B marketing efforts or high-volume audience segments at global scale
• Experience leading the transition of a workflow from manual execution to automated or agentic execution
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience connecting AI tools to marketing systems through APIs, integrations, or agent tooling
• SQL fluency or comparable data skills, sufficient to validate audiences and interrogate campaign performance independently
• Comfort working in ambiguity, where the standard does not exist yet and part of the job is writing it
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)