Marketing Operations Manager

Responsibilities

The Marketing Operations Manager will own campaign execution and quality across various digital channels, leveraging AI to automate workflows and improve efficiency. They are responsible for building and configuring AI agents, setting executional standards, and reporting on performance metrics like turnaround time and cost.

Requirements

Candidates must have 6+ years of experience in marketing operations and hands-on expertise in digital marketing platforms and AI-driven workflows. A bachelor's degree is required, along with a proven track record of using AI to produce measurable marketing output.

Skills

• Marketing Operations
• Campaign Management
• Marketing Automation
• AI Agents
• LLM Workflows
• Prompt Engineering
• Salesforce Marketing Cloud
• Marketo
• HubSpot
• Adobe
• Data Analysis
• SQL
• Digital Marketing
• QA
• Automation Roadmap

Benefits

• Bonus
• Equity
• Health Insurance

About this role

The Business Marketing Group connects businesses with their customers on Facebook, Instagram, WhatsApp, and Messenger to help them grow their businesses through solutions like pages, advertising, messaging, and more. We succeed when we help our customers grow their business leveraging our solutions. The Global Marketing Operations team runs campaign execution for business marketing, launching hundreds of campaigns a year across an expanding set of digital marketing channels. We are seeking a Marketing Operations Manager who executes campaigns AI-first, pairing deep expertise in marketing execution platforms with the AI skills to automate that work. This role is about owning operational quality by setting executional standards that can be built at agent scale. The ideal candidate is a digital marketing expert who has already replaced meaningful parts of their own workflow with AI and can show what it produced.

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

About Meta

Software Development · 10,001+ employees · headquartered in Menlo Park, CA