Job Title: Project Coordinator IV (Technical Product Operations Specialist) Duration: 6 Months Location: Remote Job Description: 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. 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 Must-Have Skills: 8+ years in consulting, strategy, operations, or technical product/program management Advanced SQL skills (CTEs, window functions, joins, aggregations, transformations). Experience with AI agents and AI-assisted workflows Expert in Google Workspace, especially Google Sheets (complex formulas, documentation, automation). Nice-to-have Skills: 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 How many rounds of interviews? 2 rounds