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.

Project Manager, Product Data Operations (PDO) 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$143,000/year to $202,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): Austin, TX

Job ID: a1KDp00000E2gTOMAZ

Employment Type: OTHER

Posted: 2025-11-06T19:56:47