About this role
Meta is seeking an experienced Product Marketing Manager to join our team. As a Product Marketing Manager at Meta, you will help grow products used by billions of people and businesses all over the world across our apps including Facebook, Instagram, WhatsApp, Threads, Meta AI, Muse, and Reality Labs.
In this role, you will be responsible for driving market requirements and go-to-market plans for Meta’s AI offerings, which includes agents, models, and solutions for developers and Enterprises. This includes assessing market needs, conducting research to influence new product development, evaluating approaches to mitigate product risks, owning the go-to-market strategy and identifying opportunities to improve existing products.
You will also lead inbound and outbound product marketing initiatives, influencing product strategies and positioning for target audiences, leading go-to-market efforts that drive awareness and adoption, and working cross-functionally with partners at various altitudes throughout the company.
The ideal candidate will have experience in AI development, enterprise marketing, monetization, product management or marketing, and a experience analyzing AI industry trends, competitive landscape, and market dynamics. Will independently drive cross-functional work to deliver results within a fast-paced environment, and have demonstrated skills in cross-functional collaboration, analytical, and communication skills, as well as experience in prioritizing competing projects based on impact, deadlines, and stakeholder needs, and driving clarity in ambiguous problem spaces.
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
Qualifications
10+ years of professional experience in technology, internet technology, strategic marketing, product management, or management consulting
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
Currently has, or is in the process of obtaining, a Bachelor's degree in business, marketing, or a relevant field Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
2+ years of experience in AI or Enterprise AI marketing
MBA degree
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)