Google

Associate Principal Analyst, Responsible AI Governance

Google$141K — $205K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analytics, Trust and Safety, cybersecurity, or related fields.
  • Master's or PhD in a relevant field preferred.
  • Experience with machine learning systems.
  • Excellent communication and presentation skills for cross-functional influence.

Responsibilities

  • Oversee developing risk review frameworks and artifact definitions.
  • Define integration opportunities for responsible AI (RAI) education throughout product life cycles.
  • Maintain and evolve RAI risk frameworks to adhere to AI Principles.
  • Build relationships with key partners to support new product and policy launches.
  • Provide expertise on RAI policy issues to advise cross-functional teams.

Benefits

  • Health, dental, vision, life, disability insurance
  • 401(k) with company match
  • 20 days of vacation per year, accruing progressively
  • 40 hours/year of sick time, with increased allocation in Seattle
  • 28-30 weeks of maternity leave
  • 18 weeks of baby bonding leave
  • 13 paid holidays per year
Full Job Description
info_outline
X 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: Seattle, WA, USA; Washington D.C., DC, USA; Kirkland, WA, USA.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or a related fields.

Preferred qualifications:
  • Master's or PhD in relevant field.
  • Experience with, machine learning.
  • Knowledge of ethics and socio-technical considerations of technology and the future of AI.
  • Knowledge about the key policy issues affecting the internet (e.g., intellectual property, free expression, online safety, ethics and socio-technical considerations of technology and the future of AI).
  • 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 Trust and Safety Launch Governance and Ops (LGO) team ensures Google products are developed safely and responsibly by managing responsibility risks and governance processes. LGO's Governance team establishes the system of standards, processes, and guardrails Trust and Safety utilizes to ensure our AI is developed and deployed ethically, safely, and legally. 'Governance' is the operational framework that makes 'responsible AI' happen. It bridges the gap between Google's principles and day-to-day technical execution.

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 about benefits at Google .

Responsibilities
  • Oversee development of framework to conduct risk reviews and define artifacts required to attest to mitigations. Escalate risk acceptance discussions to executive leadership and product area stakeholders.
  • Define opportunities throughout the product development, launch, and post-launch process to integrate RAI education, consultation, and review for all GenAI products and models.
  • Maintain and evolve internal and enterprise RAI risk frameworks, taxonomy, and opportunity frameworks to help Google adhere to AI Principles.
  • Develop relationships with key cross functional partners to help develop and launch new products and policies.
  • Offer subject matter expertise and high quality judgment on RAI policy and product issues with the ability to advise cross-functional (XFN) partners. 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's Applicant and Candidate Privacy Policy .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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