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Meta is seeking an experienced strategy and operations leader for Marketing SP&O to partner with a marketing leader and shape strategy, plans, and capacity for a major portfolio. The role focuses on operating models, governance, and AI-enabled improvements across the organization.
You will drive the rhythms of business, enable decision forums, and coordinate across Finance, HRBP, Insights, Analytics, and Media to optimize resource allocation.
Meta is looking for an experienced strategy and operations professional to join Marketing Strategic Planning & Operations (SP&O). Marketing SP&O unlocks collective, sustainable Marketing impact by shaping marketing strategy and plans, spearheading operational excellence, and evolving Marketing and its capabilities. In this role you will be the strategic thought partner and operations architect for a marketing leader and their team, accountable for how a significant portfolio within Marketing plans, operates, and evolves. This role sits inside Marketing's shift to an AI-native operating model, and we expect the person in it to build with AI as a default.
Marketing Strategic Planning & Operations Manager Responsibilities:
Partner with a marketing leadership team to shape organizational strategy and lead annual and ad hoc planning for their portfolio
Build investment cases for the annual plan and incremental resource asks, including driving the trade‑off discussions that precede them
Define and track org‑level goals, and connect them to how budget and headcount are actually deployed
Distill business insights from resource and portfolio data to support prioritization decisions
Define, implement, and refine the rhythms of business, ways of working, and decision forums for the organization
Facilitate the organization's core leadership forums: sharpen the agenda, land explicit owners and next steps, and close the loop on decisions
Identify and structure emerging misalignments, then either resolve them or escape them cleanly
Partner with Finance, HRBP, Insights, Analytics, and Media on the inputs that inform resource allocation
Quarterback resolution of cross-org problems where no single team owns the outcome
Lead change management for new operating models, including the transition to AI-native ways of working
Build reusable capability, including canonical documentation, agent‑ready context, and standards encoded as tools, so that improvements compound instead of resetting with each cycle
Communicate up, down, and across the organization to sustain transparency, alignment, and advocacy
Minimum Qualifications:
10+ years of experience across strategy, operations, or marketing, including experience as the strategic partner to a senior leader
Experience designing and running the operating cadence of a large, matrixed organization, including planning cycles, goal setting, and business reviews
Track record of framing ambiguous, cross‑organizational problems and driving them to a decision
Experience communicating complex, large‑scale concepts clearly and simply, including to executive audiences
Experience influencing senior leaders without formal authority
Experience balancing attention to detail with big‑picture strategic thinking
Experience working in a fast‑paced environment and balancing analysis against execution
Experience using AI tools to change how work gets done, not only to speed up existing tasks
Preferred Qualifications:
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
MBA or related graduate degree
Experience in management consulting or in‑house strategy and operations
Experience in consumer marketing, consumer technology, or media planning
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience standing up new operating models during organizational change
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
$152,000/year to $213,000/year + bonus + equity + benefits
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