Menlo Park or New York City
Marketing Operations Manager
Job details
- Location
- Menlo Park or New York City
- Work type
- Onsite
- Compensation
- $124,000 - $178,000/yr
- Posted
- 1 week ago
- Apply on
- metacareers.com
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)
Compensation
- $124,000/year - $178,000/year; Country: US; Bonus eligible; Equity eligible
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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Equal Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Accommodations
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