
Lead Analyst, Frontier Safety
Washington D.C., DCJob$171–247K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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Job overview
The Lead Analyst will serve as a senior dual-domain frontier safety expert and evaluation lead for Google’s Content Adversarial Red Team. The role designs and directs red-team assessments of generative AI products, focusing on CBRN and cyber capability-uplift risks. It also partners with engineering, research, policy, and related teams to develop evaluators and mitigations, triage product losses, and present findings to leadership and external stakeholders.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Lead Analyst, Frontier Safety
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corporate_fare Google place Washington D.C., DC, USA; Austin, TX, USA; +2 more; +1 more
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
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info_outline
XIn 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:
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Health, dental, vision, life, disability insurance
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Retirement Benefits: 401(k) with company match
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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
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Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
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Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
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Baby Bonding Leave: 18 weeks
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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: Washington D.C., DC, USA; Austin, TX, USA; Seattle, WA, USA .
Minimum qualifications:
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Bachelor's degree or equivalent practical experience.
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10 years of experience in data analytics, trust and safety, policy, cybersecurity, business strategy, or related fields.
Preferred qualifications:
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Master's degree or PhD.
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Experience in SQL, building dashboards, data collection/transformation and visualization/dashboards.
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Experience working with Chemical, Biological, Radiological, or Nuclear (CBRN) and Cyber threat risks in GenAI.
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Experience in a scripting/programming language (e.g., Python) and machine learning.
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Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.
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Excellent presentation and communication skills (written and verbal) with the ability to influence cross-functionally at various levels.
About the job
Trust & 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.
The Content Adversarial Red Team (CART) in Trust and Safety conducts adversarial testing of Google’s Generative AI models, product surfaces, and autonomous agents to uncover vulnerabilities, jailbreaks, and emerging catastrophic risks not identified in standard evaluations.
In this Lead Trust and Safety Analyst role, you will serve as the Senior Dual-Domain Frontier Safety (FS) Analytic Expert (CBRN and Cyber) and evaluation lead. Bringing deep subject-matter expertise in Frontier Safety threats, you will design, direct, and conduct complex red-teaming assessments to evaluate high-consequence capability uplift risks across Google's AI products. Operating with high autonomy across multi-quarter strategic horizons, you will anchor CART's Frontier Safety red-teaming program (~70%) while partnering with sibling RAIT teams (SCALE and Novel) (~30%).
In this collaboration, you will calibrate automated product-surface evaluators (autoraters), evolve dynamic attack trees, define threat personas for multi-turn/agentic simulators, and lead Tier-1 product loss triage. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $247000 (USD) + 20% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Design and execute complex red-teaming assessments to identify critical CBRN and cyber capability uplift risks across generative AI products.
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Partner with Engineering, Research, and Policy teams to translate red-teaming findings into robust product mitigations and safety guardrails.
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Collaborate with sibling RAIT teams to develop autoraters, dynamic attack trees, and threat personas for agentic simulators.
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Direct specialized external vendors and subject-matter experts to scale testing and ensure high-signal threat intelligence.
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Present frontier safety findings, risk assessments, and evaluation frameworks to executive leadership and external stakeholders. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 4,969 open Data Analyst jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$171–247K/yr
- Washington, D.C. median$98–148K/yr70 salary ranges
- US median$90–134K/yr3,111 salary ranges
This range's midpoint, $209K, is 62% above the Washington, D.C. median midpoint ($129K) — in the top quarter of Data Analyst salary ranges in Washington, D.C..
- Openings
- Olive Jobs lists 91 open Data Analyst jobs in Washington, D.C. and 4,969 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington, D.C.
- Guidehouse5 open
- Chenega Corporation4 open
- Google (this employer)4 open
- Experience
- This posting asks for at least 10 years of experience — more than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,673 postings).
- Education
- 2,267 of the 4,969 open Data Analyst jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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