Project Coordinator IV - 69425-1

Request ID: 69425-1
Start/End Dates: 4/13/2026 - 10/12/2026
Tax Work Location: US - CA - Remote (105700)
Job Title: Project Management - Project Coordinator IV

Job Description: Product Operations Specialist (Technical + LLM)

The Product & Regulatory Operations org is a vital part of Meta''s commitment to user and business safety on its platforms, delivering operations for emerging and critical priorities across Meta and Global Operations and in close partnership with product/eng, legal and XFN stakeholders.
As a Technical Product Operations Specialist, you will work on projects that drive growth, engagement, and quality of Meta''s products through data-driven decision making and technical tooling. We are looking for experienced professionals with strong technical acumen and product sense who can independently build analytical solutions, leverage AI tools to accelerate workflows, and drive programmatic improvements through data analysis and automation.

Must-Have Skills
8+ years of relevant experience in consulting, strategy, operations, or
equivalent program management experience with particular focus on technical product operations
Proficient in SQL and Data Annotation/Labeling large LLM models
Experience with AI Agents and AI-assisted workflows – comfortable prompting and iterating with AI tools to accelerate work
Vibe Coding experience – comfortable with low-code/no-code prototyping or AI-assisted code generation
Familiarity with data pipelines, ETL processes, or data infrastructure concepts
Experience with testing, developing and implementing test strategies (manual and automated) for products and features.

Responsibilities
Support program execution strategy for multiple products and platforms – includes kickstarting 0 to 1 efforts, accelerating execution, and improving quality/outcomes for product objectives via programmatic and technical solutions Write and optimize SQL queries to collect, transform, and analyze product data from various sources, identifying trends, patterns, and insights that inform business decisions Build and maintain dashboards, reports, and visualizations (e.g., Unidash, Google Sheets) to effectively communicate findings to stakeholders and support real-time decision-making Leverage AI Agents and tools (e.g., Meta''s Worldclass Tooling) to accelerate data analysis, automate repetitive tasks, and prototype solutions Proactively identify program risks, develop data-backed mitigation plans, and communicate rationale and updates clearly across cross-functional teams General program management to identify opportunities and predict roadblocks through data analysis, strengthen cross-functional relationships, and execute on plans with technical rigor Labeling and LLM Training across all orgs

Minimum Qualifications
8+ years of relevant experience in consulting, strategy, operations, or
8+ equivalent program management experience with particular focus on
8+ technical product operations
Proficient in SQL – able to write advanced queries including CTEs, window functions, joins, aggregations, and data transformations Experience with AI Agents and AI-assisted workflows – comfortable prompting and iterating with AI tools to accelerate work Expert-level proficiency in Google Workspace, especially Google Sheets – able to create detailed, step-by-step documentation, complex formulas, pivot tables, and automated workflows Strong multi-tasking abilities with demonstrated experience managing multiple workstreams simultaneously Self-starter mentality – able to work independently, take initiative, and drive projects forward without close supervision Eager to learn new tools, technologies, and domains quickly; adapts to changing technical requirements Effective critical thinking and experience leveraging data to anticipate and unblock problems and drive solutions Proven time-management and organizational skills Data Annotation/Labeling skills, LLM training amongst product quality teams

Preferred Qualifications
Experience with VS Code or similar development environments Vibe Coding experience – comfortable with low-code/no-code prototyping or AI-assisted code generation Experience building dashboards and data visualizations (Unidash, Tableau, Looker, or similar) Familiarity with data pipelines, ETL processes, or data infrastructure concepts Experience working with engineering teams on technical specifications and requirements Background in quality assurance, triage operations, or ML/AI validation workflows Experience with testing, developing and implementing test strategies (manual and automated) for products and features.