Technical Program Manager - Artificial Intelligence Data

Technical Program Manager, AI Data

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in Technical Program management, program management, or a similar role.

Preferred qualifications:

• Knowledge of AI/ML development life-cycles and the role of human-annotated data.
• Knowledge of the data labeling industry, including best practices, challenges, and quality assurance techniques.

About the job

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Drive program outcomes for a portfolio of programs, focusing on efficiency and quality. Design, launch, standardize, and continuously enhance the operational processes for various workflows.
• Develop and implement frameworks for tracking and reporting on the delivery and quality of work, ensuring goals are met. Act as the first point-of-contact for volume management and deliverable tracking, coordinating across multiple Product Areas (PAs).
• Ensure smooth execution of projects by identifying and resolving bottlenecks and risks. Utilize data analysis to monitor performance, identify trends, and drive operational improvements.
• Develop and maintain documentation, best practices, and playbooks for operations.
• Partner with cross-functional teams, including engineering, product management, and technical writers, to enhance tooling and support for operations program.

Experience Level

Senior Level