**Summary:**

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.

**Required Skills:**

Project Manager, Product Data Operations (PDO) Responsibilities:

1. Contribute to a team focused on the design, deployment, and scaling of Synthetic Data as a Service to accelerate AI/ML development

2. Build and optimize AI-native labeling workflows and data-driven processes to enhance data quality and model performance

3. Collaborate with product and engineering teams to understand LLM development and data needs, designing services that meet evolving requirements

4. Drive end-to-end project delivery, from planning through production deployment, ensuring alignment with strategic goals

5. Identify and mitigate program risks, communicate updates to stakeholders, and implement scalable operational solutions

**Minimum Qualifications:**

Minimum Qualifications:

6. BA/BS Degree -OR- equivalent industry experience

7. 8+ years of proven experience successfully delivering complex projects and driving process or operational improvements

8. Experience prioritizing under constraints, driving initiatives forward despite roadblocks, and managing multiple cross-functional stakeholders

9. Proven problem-solving and analytical skills, including extensive experience evaluating, diagnosing, and fixing complex problems

10. Executive presence and effective communications

11. Track record of embracing ambiguity and operating effectively in a fast-paced environment

12. Experience building, optimizing, and scaling programs

13. Experience influencing executive level leadership across different domains

**Preferred Qualifications:**

Preferred Qualifications:

14. Experience in consulting and product strategy

15. Experience designing and deploying LLMs for service delivery

16. Hands-on experience with LLMs, synthetic data generation, or data engineering for AI/ML

17. Proven track record of taking AI/ML solutions from concept to production in large-scale environments

18. Demonstrated proficiency analyzing and working with data

19. Experience building and driving initiatives in an evolving environment with fast-moving technologies

**Public Compensation:**

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

**Industry:** Internet

**Equal Opportunity:**

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.