Enterprise Marketing Manager, AI

Job description

Meta is looking for an Enterprise Marketing Manager to help bring our enterprise AI portfolio to market. This role sits at the center of Meta's work to drive business adoption of Meta's most advanced AI models from Meta Superintelligence Labs. This is an opportunity to shape how we communicate the value of these frontier models and enable sales to win with the technical decision-makers in the enterprise. If you are energized by translating complex, technical products into sharp, credible narratives and sales enablement, and you are experienced in building new programs from the ground up, defining processes and strategies where established frameworks may not yet exist, this could be the role for you.

Responsibilities

• Own sales enablement content for Meta's enterprise AI portfolio (including Meta Model API and Muse models), translating technical capabilities into compelling value propositions for enterprise buyers
• Develop fluency in the technical enterprise buying committee — CTOs, CIOs, Solutions Architects, Chief AI Officers, and the practitioners who influence them — understanding their priorities, evaluation criteria, and decision-making processes
• Partner with product marketing, sales, comms, and partner marketing on go-to-market execution for launches such as new model and feature releases
• Develop annual plans tied to product and business goals, identify and report on key metrics, and adapt plans based on evolving stakeholder needs
• Operate with a test-and-learn, data-driven mindset while navigating ambiguity and shifting priorities Leverage AI tools throughout your workflow to multiply output while maintaining high quality
• Partner with Brand Strategy to apply brand architecture, persona, and visual identity across all work

Qualifications

• 6+ years of experience in sales enablement, product marketing, and/or technical marketing roles
• 3+ years of experience in developing messaging and enterprise sales enablement content that measurably supports and accelerates a technical sales motion
• Demonstrated ability to understand enterprise technical buyer personas and the underlying technology
• Demonstrated experience in cross-functional leadership and collaboration across a broad range of functions, including product marketing and sales
• Demonstrated understanding of B2B program measurement and reporting
• Proven copywriting skills to convey complex ideas simply and effectively
• Proven organizational and project management skills Experience in the Gen AI and LLM space Experience adapting plans and priorities in response to evolving business needs and emerging product directions Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience working with international and regional cross-functional teams
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies