Program Manager, AI Data Operations & Evaluation

Meta; United States; A distancia; USD 130.000 - 170.000; Jornada completa

Descripción de la vacante

Meta is seeking a Product Data Operations Program Manager within the Family of Apps to independently lead cross-functional programs that deliver high-quality data and AI model evaluations. You will translate product needs into executable plans, balance AI and expert-human workflows, and own delivery quality and outcomes.

You will partner with Product, Engineering, Research, and Data Science to benchmark AI labelers, calibrate evaluators, and monitor model performance as needs evolve.

Formación

• Bachelor's degree or equivalent practical experience in a related field.
• Experience leading multiple cross-functional programs from scoping through delivery.
• Strong data analysis and metrics-driven decision making.
• Ability to influence stakeholders without formal authority.

Responsabilidades

• Independently lead multiple cross-functional programs delivering high-quality data and AI evaluation.
• Translate product needs into executable plans and manage dependencies and risks.
• Benchmark AI labelers, calibrate evaluators, and monitor model performance.
• Collaborate with Product, Engineering, Research, and Data Science teams to optimize workflows and cost.
• Communicate plans, risks, and recommendations to leadership and operators.

Conocimientos

Program management

Cross-functional collaboration

Analytical problem solving

Stakeholder influence

Data-driven decision making

AI tooling integration

Communication

Experimentation & evaluation

Educación

Bachelor's degree or equivalent practical experience

Herramientas

SQL

Excel/Sheets

Dashboards/Reporting

Descripción del empleo

Meta is seeking a Product Data Operations Program Manager within the Family of Apps to independently lead cross-functional programs that deliver high-quality data and AI model evaluations. You will translate product needs into executable plans, balance AI and expert-human workflows, and own delivery quality and outcomes.

You will partner with Product, Engineering, Research, and Data Science to benchmark AI labelers, calibrate evaluators, and monitor model performance as needs evolve.