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Lead Agentic Safety Strategist, Android Trust and Safety

Google

Austin, TXJob$141–205K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$141–205K/yr
Location
Austin, TX
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Lead Agentic Safety Strategist will design safety and integrity measures for autonomous AI agents across Android. The role focuses on identifying and mitigating harms from agents interacting with the operating system and third-party apps, and on developing detection and enforcement frameworks. The strategist will work with product teams and external stakeholders to address agent manipulation, abuse, and emerging AI-related risks.

Skills & qualifications

RequiredNice to have

Skills

Data Analytics, requiredTrust and Safety, requiredPolicy, requiredCybersecurity, requiredMachine Learning, nice to haveSQL, nice to haveDashboard Building, nice to haveData Collection, nice to haveData Transformation, nice to haveData Visualization, nice to haveScripting, nice to haveProgramming, nice to havePython, nice to haveCommunication, nice to havePresentation Skills, nice to haveCross-Functional Influence, nice to have

Qualifications

Bachelor's Degree or Equivalent Practical Experience, required7 Years Relevant Experience, requiredMaster's Degree or PhD, nice to haveEnglish Proficiency, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Lead Agentic Safety Strategist, Android Trust and Safety

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corporate_fare Google place Kirkland, WA, USA; Austin, TX, USA; +2 more; +1 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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:

  • 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; Austin, TX, USA; Washington D.C., DC, USA .

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 7 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields.

Preferred qualifications:

  • Master's degree or PhD in a relevant field.

  • Education in, or experience with, machine learning.

  • Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).

  • Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.

About the job

As an Agentic Safety Strategist, you will design for the safety and integrity of autonomous AI agents across the Android platform. Your focus is to bridge the gap between technical agent capabilities and the real-world safety of billions of users. You will be responsible for identifying and mitigating the harms that arise when AI agents interact with the OS and third-party apps—ranging from system-level instability to the creation of harmful synthetic media. By developing robust detection nets and enforcement frameworks, you will ensure that agentic features do not become vectors for abuse.

In this role, you will understand marketplace dynamics. You know how to nudge a third-party developer ecosystem toward safety without breaking the business model. You can speak "LLM" with engineers and "Partnership" with external stakeholders. You understand how AI models can be manipulated at the app layer and how to block those vectors. You will think like a bad actor. You anticipate the next evolution of AI harm and have an execution plan ready before it hits the store.

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: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Be responsible for identifying and mitigating the harms that arise when AI agents interact with the OS and third-party apps—ranging from system-level instability to the creation of harmful synthetic media.

  • Develop the "Rules of Engagement" for autonomous agents on Android, ensuring that multi-step plans are audited for safety before execution.

  • Implement strict "Least-Privilege" models so agents cannot escalate system permissions or access sensitive user data without explicit, context-aware consent.

  • Partner with the Product team to build runtime monitoring that identifies "agentic drift," recursive loops, or adversarial attempts to hijack agent reasoning.

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 2,585 open Data Analytics jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$141–205K/yr
  • Texas median$116–195K/yr100 salary ranges
  • US median$116–191K/yr1,884 salary ranges

This range's midpoint, $173K, is 10% above the Texas median midpoint ($157K) — in the middle half of Data Analytics salary ranges in Texas.

Openings
Olive Jobs lists 147 open Data Analytics jobs in Texas and 2,585 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 7 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (2,089 postings).
Education
1,221 of the 2,585 open Data Analytics jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 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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