Staff Engineering Analyst - Trust and Safety RAI Testing, Scaled Testing

• Define and advocate the Trust and Safety (T&S) RAI SCALE technical roadmap, establishing North Star metrics and automated governance to accelerate Google-wide launch velocity.
• Direct the research-to-operations architecture translating high-risk 0-to-1 evaluations (multi-turn, agentic, frontier safety) into production-ready pipelines.
• Lead cross-organizational gap analyses with GDM/PAs, defining statistical standards and scaling high-precision LLM-as-a-judge autoraters.
• Architect unified data pipelines and telemetry unifying pre-launch testing and post-launch monitoring to automate executive risk attestations.
• Serve as the final decision-maker on critical GenAI safety escalations, align executive leadership, and mentor executive Engineering Analysts. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• 7 years of experience managing projects and defining project scope, goals, and deliverables.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• 7 years of experience or familiarity with machine learning systems.
  
• 7 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Excellent written and verbal communication skills.
  

Trust and Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As a Staff Engineering Analyst, you will serve as an organizational technical leader driving the multi-quarter roadmap for scaled GenAI safety evaluation across Google. Working with minimal direction, you will bridge GDM, Product Area engineering, and Trust and Safety—architecting end-to-end evaluation infrastructure, leading quantitative gap analyses, and mentoring Engineering Analysts across the team.

At Google we work hard to earn our users’ trust every day. Trust andIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. 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

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• 7 years of experience managing projects and defining project scope, goals, and deliverables.