Sales Strategy and Planning Operations Lead, GBG Americas

Meta is seeking a highly strategic, quantitative, and insight-driven business leader to join the Americas Sales Strategy Planning & Operations team. This role is central to driving business performance by being the objective, trusted voice to the sales organization—surfacing insights that inform critical decisions and delivering regional context and last-mile execution awareness into global Go-To-Market strategy. You will translate complex data into strategic recommendations that drive measurable business outcomes, serving as the bridge between regional market realities and global decision-making.

• 5+ years of experience in sales strategy, business operations, management consulting, investment banking, or a related analytical role within a technology or media company
• Experience using SQL or similar tools to extract, manipulate, and analyze large datasets to generate business insights
• Track record of using data to understand business problems, generate actionable insights and recommendations
• Problem-solving and analytical skills, proficiency in solving complex and varied business problems (commercial, operational, and organizational)
• Experience in communicating with and influencing stakeholders at all levels of an organization
• Experience delivering results in dynamic environments by adapting priorities, collaborating across teams, and communicating trade-offs to stakeholders
• Familiarity with Meta's advertising products and sales ecosystem
• Experience supporting advertising sales operations or go-to-market planning within a digital media or technology platform
• Experience with data visualization tools (e.g., Tableau, Looker)
• Experience in building and deploying AI-powered automation solutions to scale analytical workflows
• Experience in advertising, media, or technology industries
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• MBA or an advanced degree in a quantitative field
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)