Senior Technical Program Manager, Quality Measurement Lead, Trust and Safety
Listed on 2026-07-18
-
IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, IT Project Manager, Data Engineering
Senior Technical Program Manager, Quality Measurement Lead, Trust and Safety
Google Seattle, WA, USA ;
Atlanta, GA, USA ; +2 more
Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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
.
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience with SQL and metrics management with data sets.
- Experience in AI/ML application, process design and automation.
- Advanced degree in Computer Science, Engineering, or a related technical field.
- 8 years of experience managing cross-functional or cross-team projects.
- Demonstrated track record of designing and implementing complex, cross-functional workflow automation.
- Deep technical understanding of LLMs, agentic workflows, prompt engineering, and automation tooling.
- Exceptional stakeholder management skills with experience influencing executive leadership (Director plus level).
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Architect and drive the strategic roadmap for T&S quality's transition to AI-driven process automation and workflow optimization.
- Own the design and execution of quality automation. Build scalable, AI-enabled workflows that integrate across product areas while partnering with T&S leadership to align automation initiatives with global safety infrastructure and business goals.
- Establish and lead the programmatic framework for identifying, prototyping, and deploying AI/ML solutions (including Large Language Models (LLMs) and GenAI) to automate business-as-usual (BAU) tasks, such as project planning, intake, portfolio tracking, quality monitoring, and ongoing maintenance.
- Scale the adoption of AI agents across the organization, establishing best practices, training, and frameworks for agentic workflow development.
- Define the cross-functional engagement model and align technical dependencies with Tooling, QA Automation, Engineering and other cross-functional teams to integrate scalable automation tools into a cohesive, shared platform.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).