Senior Technical Program Manager, AI Data

Google Google · Big Tech · Sunnyvale, CA +1

This role is for a Senior Technical Program Manager focused on AI data, managing complex projects related to data for AI models. The responsibilities include driving program outcomes, optimizing operational processes, developing tracking frameworks, and utilizing data analysis for improvements. The role requires experience with data structures or ML algorithms, and familiarity with AI/ML lifecycles and data labeling.

What you'd actually do

  1. Drive program outcomes for a portfolio of programs, focusing on efficiency, quality, and scalability.
  2. Design, launch, standardize, and continuously optimize operational processes for various workflows.
  3. Develop and implement frameworks for tracking and reporting on the delivery and quality of work, ensuring goals are met.
  4. Act as the first point of contact for volume management and deliverable tracking, coordinating across multiple product areas.
  5. Utilize data analysis to monitor performance, identify trends, and drive operational improvements.

Skills

Required

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience working with data structures or machine learning algorithms.

Nice to have

  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience working at companies specializing in data labeling and human-in-the-loop services.
  • Experience with SQL and data visualization tools.
  • Familiarity with AI/ML development lifecycles and the role of human-annotated data.
  • Knowledge of the data labeling industry, including best practices, challenges, and quality assurance techniques.

What the JD emphasized

  • data labeling and human-in-the-loop services
  • AI/ML development lifecycles
  • human-annotated data
  • data labeling industry

Other signals

  • AI models and products
  • training, testing, evaluation, and adaptation
  • data labeling and human-in-the-loop services
  • AI/ML development lifecycles
  • human-annotated data