AI-Driven Tech Program Manager, Trust & Safety

Google

Austin (TX)

On-site

USD 138,000 - 197,000

Full time

5 days ago
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Job summary

Google is seeking a Technical Program Manager to lead multi-disciplinary projects from inception to delivery, focusing on abuse-fighting strategies powered by AI/LLM technology. You will plan requirements, identify risks, manage schedules, and communicate with cross-functional partners and executives.

You’ll work with Google’s Trust & Safety teams to reduce risk across products and collaborate with engineers, product managers, and business stakeholders to align priorities and timelines.

Qualifications

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience leveraging AI/ML technologies to build agentic solutions.
  • Experience with data analytics and dashboard development.

Responsibilities

  • Leverage technical expertise in Large Language Models (LLMs), Applied AI and agentic solutions to understand potential for abuse-fighting strategies.
  • Collaborate with team members and stakeholders to understand problems and goals, obtain prioritized deliverables.
  • Define scope of projects and develop, execute, or manage project plans for supported programs.
  • Review key metrics, monitor deviations, and define corrective actions for critical variances.
  • Identify, communicate, and collaborate with relevant stakeholders to drive impact and build dashboards.

Skills

AI/ML technologies
Data analytics
Dashboard development
Cross-functional project management
Stakeholder collaboration

Education

Bachelor's degree in a technical field

Job description

Google is seeking a Technical Program Manager to lead multi-disciplinary projects from inception to delivery, focusing on abuse-fighting strategies powered by AI/LLM technology. You will plan requirements, identify risks, manage schedules, and communicate with cross-functional partners and executives.

You’ll work with Google’s Trust & Safety teams to reduce risk across products and collaborate with engineers, product managers, and business stakeholders to align priorities and timelines.

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