USER EXPERIENCE

Meta is looking for an experienced and motivated Project Manager to join the Product Data Operations (PDO) team. PDO provides data and insights that power machine learning and AI, at the core of all Meta products. As a Project Manager, you will play a pivotal role in driving the success of GenAI programs by providing leadership and strategic oversight. You will collaborate with cross-functional teams, including researchers, engineers, and product managers, to ensure the efficient execution of GenAI initiatives. This is a unique opportunity to work on cutting-edge projects that will shape the future of AI at Meta!

MINIMUM QUALIFICATIONS

• 8+ years of industry experience in a consumer-oriented product environment, consulting, operations, or project management role
• Experience prioritizing and ensuring key initiatives move forward, managing multiple cross-functional stakeholders, and working with urgency
• Executive presence and effective communications skills
• Critical thinking/analytical leadership experience
• Proven team player adaptable to a fast-paced environment

PREFERRED QUALIFICATIONS

• Understanding of artificial intelligence, machine learning, and deep learning technologies
• Proven track record of successfully delivering large-scale programs on time and within budget
• Communication and interpersonal skills, with the experience to interact effectively with cross-functional teams and leadership
• Problem-solving and decision-making experience
• Experience in AI, machine learning, or related fields is a plus
• Experience with SQL
  For those who live in or expect to work from California if hired for this position.

• Lead strategic, cross-functional initiatives to improve the speed, consistency, and quality of GenAI data delivery
• Build frameworks and tools that support horizontal scaling — including intake templates, tracking systems, and process playbooks
• Drive alignment on program setup, scope, evaluation design, and success metrics across XFN partners
• Communicate program status, risks, and opportunities to leadership and stakeholders.
• Support development of scalable measurement practices — making it easier for teams to track quality, throughput, and impact.
• Lead and mentor other individuals on the team.