Meta is seeking a highly experienced and strategic Program Manager to join the Product Data Operations (PDO) team. PDO delivers the data and insights that power machine learning and AI at the core of all Meta products. As a Program Manager, you will play a critical leadership role in driving the success of AI programs, providing strategic direction, operational prowess, and cross-functional collaboration. You will leverage your expertise in managing large-scale annotation operations and workforce management to ensure the successful execution of complex, high-impact initiatives. This is a unique opportunity to shape the future of AI at Meta by leading cutting-edge programs and scaling global data operations.

Responsibilities

Provide strategic leadership and oversight for the planning, execution, and delivery of MSL programs, including initiating and scaling 0-to-1 efforts
• Drive alignment of program objectives with organizational goals by collaborating with MSL research, engineering, and product teams
• Oversee large-scale data annotation operations, including managing relationships with onshore and offshore annotation vendors and leading a distributed workforce
• Develop, implement, and continuously improve annotation project guidelines, ensuring alignment with product and research requirements
• Proactively identify program risks, develop mitigation strategies, and communicate updates and rationale to stakeholders at all levels
• Establish and monitor key performance indicators (KPIs) to ensure program success, quality, and efficiency
• Report program progress, insights, and recommendations to internal and external stakeholders, including executive leadership
• Foster a environment of continuous improvement, and innovation within the team and across vendor partners

Minimum Qualifications
• 5+ years of program or project management experience, with a proven track record of delivering complex, large-scale programs in fast-paced environments
• Proficiency in the follow programming languages: Python, C++, and JavaScript
• Demonstrated experience working at an annotation vendor or managing large-scale data annotation operations, including workforce management of distributed teams
• Prioritize, drive key initiatives forward, and manage multiple cross-functional stakeholders with urgency and accountability
• Exceptional critical thinking, analytical, and problem-solving skills
• Navigate ambiguity and lead teams through change
• Bachelor's degree

Preferred Qualifications
• Certification in AI/ML
• Experience in consulting, product strategy, or building and scaling operations from 0 to 1 to 100
• Demonstrated success in delivering large-scale programs on time and within budget
• Advanced proficiency with SQL and/or Excel/Google Sheets for data analysis and reporting
• Experience in AI, machine learning, or related technical fields