Technical Program Manager III, Quality Measurement, Trust and Safety

About the role

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Responsibilities

• Ensure that Trust and Safety has the metrics and tools in place to proactively measure and detect quality-related issues throughout its expansive, AI-driven enforcement and labeling ecosystem.
• Own and maintain the quality measurement and reporting strategy for a high-complexity portfolio of product areas.
• Design and architect Human-over-the-Loop (HOTL) workflows and AI evaluation rubrics to ensure the consistent application of nuanced policies.
• Engage in the transition from manual QA to AI-driven predictive insights, anomaly detection, and systemic logic verification.
• Leverage AI co-pilots and tools to automate processes, write scripts, and prototype new safety and quality frameworks.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with SQL and metrics management with data sets.
• Experience working with engineering teams on continuous improvement of automation.

Preferred qualifications

• 5 years of experience managing cross-functional or cross-team projects.
• Experience in quality measurement, model evaluation, or AI/ML system testing (e.g., trajectory auditing, systemic logic verification).
• Experience in Trust and Safety or a related operational domain.
• Demonstrated experience in designing metrics and working with large datasets (e.g., SQL).
• Understanding of core ML concepts and how Large Language Model (LLM) classifiers and agents function (AI/ML literacy).
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Benefits

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Washington D.C., DC, USA.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits