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Technical Program Manager III, Quality Measurement, Trust and Safety

Google · Austin, TX · Yesterday
On-siteProject ManagementFull-time

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.

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.

Skills

  • Technical expertise in program management.
  • Experience with SQL and metrics management.
  • Experience working with engineering teams.
  • Experience in quality measurement and model evaluation.
  • Experience in Trust and Safety or a related operational domain.
  • Experience in designing metrics and working with large datasets.
  • Understanding of core ML concepts.
  • Problem-solving and critical thinking skills.

Benefits

  • Health, dental, vision, life, disability insurance.
  • Retailment 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.

Pay

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Schedule

Not specified

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