Product Marketing Manager, Generative AI

Responsibilities

• Lead market assessments, quantitative analysis, qualitative feedback, and represent the requirements of the market internally with Product Management, Engineering, and Research
• Understand AI developer/business needs/requirements and product risk areas in order to prioritize recommendations to the product, engineering, research, and design teams for new and existing products
• Drive cross-functional projects across Meta that build new innovative solutions for AI developers/businesses to ensure that products and solutions are incorporated in a consistent and strategic manner
• Ensure the right level of alignment, consistency, and flexibility in approach across regions and verticals, with the goal of scaling impact while meeting market-specific needs
• Own go-to-market strategy for a portfolio of products and solutions by guiding cross-functional teams in developing developer/business communications, product documentation, and positioning
• Drive successful go-to-market activations across multiple internal sales and partnership teams by crafting effective messaging for a variety of audiences and enabling go-to-market teams at scale
• Partner with teams across the business and consumer marketing teams on outbound marketing and advertising strategies to drive awareness, adoption, and long-term engagement

Requirements

• Experience leading cross-functional teams through influence and driving resolution in the context of competing perspectives
• Analytical, data-driven decision-maker with experience using deductive reasoning to simplify and communicate complex issues
• Organizational and interpersonal skills and experience setting priorities, problem-solving, multitasking, and working independently in a dynamic, rapidly changing workplace
• Communication experience that is effective with technical, business, and external stakeholders

Preferred

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)