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Associate Principal Launch Governance Analyst, Frontier Safety

Google

Washington D.C., DCJob$141–205K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$141–205K/yr
Location
Washington D.C., DC
Work Authorization
Not specified

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

Job overview

The Associate Principal Launch Governance Analyst will help DeepMind and product teams launch highly capable generative and agentic models safely. The role leads governance processes and workflows connecting Trust & Safety with DeepMind, giving leadership visibility into risk evaluations and launch readiness. It also partners across product, engineering, and research to embed safety processes into development and uses data analysis to identify risks and assess mitigations.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningSQLDashboard BuildingData CollectionData TransformationData VisualizationScriptingProgrammingPythonCommunicationPresentationCross-Functional InfluenceProblem-SolvingCritical ThinkingAttention to Detail

Qualifications

7 Years ExperienceBachelor's Degree or Equivalent Practical ExperienceMaster's Degree or PhDEnglish Proficiency

Benefits

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

Full job description

Associate Principal Launch Governance Analyst, Frontier Safety

Share Associate Principal Launch Governance Analyst, Frontier Safety

corporate_fare Google place Washington D.C., DC, USA; Seattle, WA, USA

Mid

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

Share Associate Principal Launch Governance Analyst, Frontier Safety

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: Washington D.C., DC, USA; Seattle, WA, 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 relevant field.

  • 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.

  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

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.

Launch Governance and Operations (LGO) is a team within Google's Trust and Safety's (T&S) Responsible AI pillar. It's mission is to ensure Google products are developed safely and responsibly by managing responsibility risks and governance for model and product launches.

Your primary mission will be to ensure DeepMind and product teams can safely launch highly capable generative and agentic models with speed. You will drive critical governance processes and workflows that bridge Trust and Safety with DeepMind, providing leadership with clear visibility, risk evaluations, and readiness plans for all upcoming model launches.

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

  • Design, implement and scale governance processes for new generative and agentic AI models and launches related to Frontier Safety.

  • Act as a trusted partner to executive stakeholders, building strong relationships and providing clear, compelling communications on complex trust and safety issues.

  • Partner with cross-functional teams, including product, engineering, and research, to embed safety and trust-oriented processes and technologies directly into the model and product development lifecycle.

  • Design and execute sophisticated data analyses to identify emerging risks, measure the effectiveness of our mitigations, and inform decisions.

  • Optimize and scale operational workflows, continuously seeking opportunities to improve efficiency and quality.

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.

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