
Marketing Operations Manager
Required skills
- campaign execution
- marketing automation
- AI agents
- LLM-based workflows
- prompt iteration
- agent orchestration
- paid social
- in-product messaging
- web
Nice to have
- AI tools
- workflow optimization
- B2B marketing
- global scale
- agentic execution
- prompt engineering
Role summary
The Marketing Operations Manager will own campaign execution and quality for business marketing initiatives on Facebook, Instagram, WhatsApp, and Messenger. This role leverages AI as the primary tool for campaign execution, including building and configuring AI agents to automate workflows. The manager will set operational standards, pilot new delivery capabilities, and advise partners on executable strategies. Key responsibilities include developing the automation roadmap, reporting on performance metrics like turnaround time and cost, and raising the AI capability of the team through coaching and enablement. The ideal candidate has 6+ years of experience in marketing operations or automation, with hands-on experience in digital marketing channels and AI agent development.
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
Minimum Qualifications
- 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 Qualifications
- 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)
$124,000/year to $178,000/year + bonus + equity + benefits
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