Associate Principal Strategist, Trust and Safety, Product Fairness

Google; Seattle (WA); On-site; USD 141,000 - 205,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year (69 in Seattle

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google is seeking a senior data analytics professional to identify and address fairness implications across emerging AI technologies. You will design scalable evaluations, conduct in-depth analyses, and communicate findings to product leadership across Google products and services.

In this role, you’ll partner with Trust & Safety and Responsible AI teams to guide strategy, coordinate red team activities, and influence cross-functional decision-making while ensuring responsible product

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
• Master's degree or PhD preferred.
• Experience in SQL, dashboards, data collection/transformation, visualization/dashboards, or a scripting language (e.g. Python).
• Excellent communication and presentation skills and ability to influence cross-functionally.

Responsibilities

• Develop clear guidelines for identifying and assessing fairness implications across emerging AI technologies at scale.
• Design and build scaled fairness evaluations; provide expertise on red teaming sessions.
• Perform in-depth analysis of fairness issues; prepare reports on user impact, abuse vectors, and trends.
• Provide guidance to product teams in identifying and mitigating fairness challenges with data support for ML models and products.
• Respond to time-sensitive requests; advise executives and cross-functional groups on strategies for responsible product development.

Skills

SQL

Dashboards

Data transformation

Visualization

Python

Communication

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in a relevant field

Tools

Python

Tableau

BigQuery

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: Austin, TX, USA; Atlanta, GA, USA; Seattle, WA, 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 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

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 Responsible AI pillar within Google Trust and Safety focuses on driving cross-Google solutions for industry-leading responsible AI applications. It is a global team with Responsible AI domain expertise and different backgrounds in operations, strategy, ethics, risk management, product management, and program management.

Within RAI, the Emerging AI Strategy function fosters coherent strategies and approaches on a range of emerging AI issues, including those pertaining to product fairness. We partner with teams across Alphabet and with others across industry to address key AI challenges; we develop and deliver exceptional evaluation frameworks; and we help partner teams navigate risks and opportunities related to AI-generated content.

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

Responsibilities

Learn more about benefits at Google .

• Develop clear guidelines for identifying and assessing potential fairness implications across emerging generative AI technologies at scale.
• Design and build scaled fairness evaluations and provide subject expertise on ‘red teaming’ sessions.
• Perform in-depth analysis into fairness issues and vulnerabilities. Prepare written reports outlining user impact issues, abuse vectors, and trends, and effectively communicate findings to product and company leadership.
• Provide guidance to product teams in identifying and mitigating fairness challenges by providing technical, qualitative, and quantitative data support in assessing ML models and products.
• Respond to time sensitive requests, and provide expert guidance to executives and cross-functional working groups to define strategies and timely solutions for supporting responsible product development.

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 .