Technical Program Manager - AI/ML Automation

Google; Chicago (IL); Hybrid; USD 138,000 - 197,000; Full time

Job summary

Google is seeking a Technical Program Manager II, Software Engineering, Global Affairs to lead complex, multi-disciplinary programs from start to finish. You will plan requirements, identify risks, manage schedules, and communicate with executives and engineers across the company.

The role focuses on solving global privacy and compliance challenges, mapping systems, and scaling automation pipelines for high ticketing volumes with strong collaboration across product teams.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 2 years of experience in program management.
• Experience using AI/ML to design and implement automation solutions.
• Experience with software engineering including defining API and data pipeline requirements.

Responsibilities

• Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
• Prioritize program goals, understand and translate other stakeholders needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
• Define the scope of projects and develop, execute, or manage project plans for supported programs.
• Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
• Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals.

Skills

Program management

AI/ML automation

API design

Education

Bachelor's degree in a technical field

Job description

Google is seeking a Technical Program Manager II, Software Engineering, Global Affairs to lead complex, multi-disciplinary programs from start to finish. You will plan requirements, identify risks, manage schedules, and communicate with executives and engineers across the company.

The role focuses on solving global privacy and compliance challenges, mapping systems, and scaling automation pipelines for high ticketing volumes with strong collaboration across product teams.