Senior Engineering Analyst, Third Party Data Safety

Google LLC; Kirkland, Seattle (WA, WA); On-site; USD 159,000 - 230,000; Full time

Benefits offered by this job

Health Insurance

401(k) with company match

PTO 20 days

Sick time 40h/yr (69 Seattle)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Paid holidays 13 days

Job summary

Google Kirkland, WA is seeking a Senior Engineering Analyst for Third Party Data Safety to scale defenses with proactive abuse monitoring and post-publication compliance.

Taking an AI-first approach, you will build automated systems and Agentic AI tools to detect threats, automate workflows, and govern third-party integrations at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

Responsibilities

• 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.

Skills

Data pipelines / backend monitoring

AI / ML / LLMs

Trust & Safety / cybersecurity

SQL / Python

Policy enforcement automation

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Job description

Senior Engineering Analyst, Third Party Data Safety

Share Senior Engineering Analyst, Third Party Data Safety

Google Kirkland, WA, USA ; Seattle, WA, USA ; +1 more

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.

• 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

• 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 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.