Senior Engineering Analyst, Third Party Data Safety

Google LLC; Austin (TX); On-site; USD 159,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby Bonding Leave

Holidays

Job summary

Google LLC in the United States is seeking a Senior Engineering Analyst for the Trust and Safety 3PDS team to scale protections of the OAuth ecosystem. You will help build proactive abuse monitoring, post-publication compliance infrastructure, and AI-first systems that detect threats and enforce data usage policies at scale.

The role emphasizes AI frameworks, cross-functional collaboration with Identity Engineering, Product, Policy, and Security, and translating complex policy requirements into

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis, identifying trends and drawing insights.
• 5 years of experience managing projects and defining scope/deliverables.

Responsibilities

• Architect and stand up active abuse monitoring and post-publication compliance pipelines.
• Leverage internal AI frameworks to build Agentic AI solutions for threat detection.
• Analyze complex data sets to extract actionable ecosystem insights and policy adherence.
• Collaborate with Identity Eng., Product, Policy, and Security to automate enforcement gates.
• Improve AI inputs and scale coverage for ecosystem governance.

Skills

Data analysis

Project management

Education

Bachelor's degree or equivalent

Tools

SQL

Python

Job description

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

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

Minimum qualifications

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

Preferred qualifications

• Experience architecting, deploying, or operating scalable data pipelines and backend monitoring systems.
• Experience applying AI, ML frameworks, or LLMs to solve complex, ambiguous problems and automate workflows.
• Experience in Trust and Safety, threat intelligence, cybersecurity, or platform compliance, with an understanding of adversarial behaviors and abuse vectors.
• Proficiency in SQL, Python, or similar programming languages for advanced data extraction, manipulation, and analysis.
• Experience translating complex policy requirements into automated technical enforcement mechanisms or runtime consent gates.
• Experience collaborating cross-functionally with engineering, policy, and product teams to drive ecosystem safety and platform integrity initiatives.

About The Job

The Trust and Safety Third-Party Data Safety (3PDS) team ensures that Google's OAuth ecosystem and user data remain secure in an increasingly agentic landscape. As a Senior Engineering Analyst, you will play a critical role in scaling our defenses by standing up proactive abuse monitoring and post-publication compliance infrastructure.

Taking an AI-first approach, you will build automated systems and Agentic AI tools to combat emerging risks, streamline routine operations, and protect against unauthorized data usage. This is a unique opportunity to directly leverage Google's AI frameworks to revolutionize how we detect threats and govern third-party integrations at scale. You will be passionate about ecosystem safety and grow on building innovative, scalable solutions, by joining us in securing the future of Google's developer platform.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Architect and stand up active abuse monitoring and post-publication compliance pipelines from scratch, prioritizing an AI-first approach.
• Utilize Google's internal AI frameworks to build Agentic AI solutions that detect novel threats, including indirect prompt injections, unauthorized model training, and API exploitation.
• Analyze complex data sets to extract actionable insights on ecosystem trends, monitor app behavior post-verification, and ensure ongoing policy adherence.
• Partner closely with Identity Engineering, Product, Policy, and Security teams to establish runtime consent gates, automate manifest evaluations, and translate policy requirements into technical enforcement mechanisms.
• Improve Red-team LLM inputs and validate human-in-the-loop systems, scaling coverage and efficiency for ecosystem governance.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.