Project Manager, Product Data Operations (PDO)

Project Manager, Product Data Operations (PDO)

This role is compelling due to its central role in driving the company's AI transformation, offering a unique opportunity to work on cutting-edge projects like integrating AI into operations and developing Synthetic Data as a Service. It provides a chance to directly influence the future of AI at Meta by designing AI-native labeling workflows and collaborating with product and engineering teams on LLM development.

Responsibilities

• Contribute to a team focused on the design, deployment, and scaling of Synthetic Data as a Service to accelerate AI/ML development
• Build and optimize AI-native labeling workflows and data-driven processes to enhance data quality and model performance
• Collaborate with product and engineering teams to understand LLM development and data needs, designing services that meet evolving requirements
• Drive end-to-end project delivery, from planning through production deployment, ensuring alignment with strategic goals
• Identify and mitigate program risks, communicate updates to stakeholders, and implement scalable operational solutions

Minimum Qualifications

• BA/BS Degree -OR- equivalent industry experience
• 8+ years of proven experience successfully delivering complex projects and driving process or operational improvements
• Experience prioritizing under constraints, driving initiatives forward despite roadblocks, and managing multiple cross-functional stakeholders
• Proven problem-solving and analytical skills, including extensive experience evaluating, diagnosing, and fixing complex problems
• Executive presence and effective communications
• Track record of embracing ambiguity and operating effectively in a fast-paced environment
• Experience building, optimizing, and scaling programs
• Experience influencing executive level leadership across different domains

Preferred Qualifications

• Experience in consulting and product strategy
• Experience designing and deploying LLMs for service delivery
• Hands-on experience with LLMs, synthetic data generation, or data engineering for AI/ML
• Proven track record of taking AI/ML solutions from concept to production in large-scale environments
• Demonstrated proficiency analyzing and working with data
• Experience building and driving initiatives in an evolving environment with fast-moving technologies