Communications Manager, AI Products

Responsibilities

• Lead the communications strategy for Meta Superintelligence Lab's consumer AI products, including Muse and Meta AI, by creating clear objectives and measures of success
• Lead major product launch moments end to end; including narrative, materials, press and social strategy, briefings, demos, embargo management, and measurement
• Serve as communications counsel to product, research, and business leadership on positioning, media engagement, and issues management
• Shape how we talk about AI capabilities responsibly — including privacy, data access and permissions, and safety — in partnership with Policy, Legal, Research, and Product teams
• Drive social-first and creator storytelling that highlights people using Muse and Meta AI in real life
• Build and steward senior relationships with technology, consumer, and business journalists, analysts, and creators
• Partner cross-functionally with Product, Research, Marketing, Policy, Legal, and the broader Meta Communications team, and influence launch planning

Requirements

• Bachelor's degree in Communications, Journalism, or a related field, or equivalent experience
• 8+ years of experience in communications, with a focus on consumer technology products in the US market
• Experience leading consumer software or AI product launches
• Knowledge of generative AI concepts, trends, and innovations
• Experience distilling complex technical details into clear written narratives, press materials, and social copy
• Established relationships with national technology, consumer, or business press
• Experience leading communications strategy end to end
• Experience counseling senior leaders and driving complex cross-functional conversations independently
• Experience prioritizing competing workstreams based on impact, deadlines, and stakeholder needs

Preferred

• Experience with social-first storytelling, creator partnerships, and influencer engagement
• 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 managing a portfolio of competing priorities with flexibility to pivot quickly
• Experience communicating research or model capabilities alongside consumer product narratives
• Experience managing product-related issues, including privacy, data access, safety, or trust questions in consumer technology
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience communicating about AI assistants, AI agents, or foundation models