Trust and 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.
As a Tooling Policy Specialist, you will drive our automation and Artificial Intelligence (AI) strategy, from high-level planning to the execution of groundbreaking technical projects. You will lead the strategy and execution of Applied AI, regulatory, and platform investment initiatives, establishing new processes and creating the frameworks that guide future investments.
You will use data to diagnose root causes and make arguments, proactively identifying problems and generating data-supported hypotheses for both short- and long-term resolutions. You will act as a bridge between policy/operations and engineering by translating concerns from non-technical audiences into compelling arguments for technical audiences, turning operational needs into clear, actionable technical requirements. Conversely, you will be highly skilled at translating technical concepts to non-technical audiences, effectively adapting your message to influence stakeholders, align resources, and help leadership understand investment frameworks to balance development with operational costs.
At Google we work hard to earn our users’ trust every day. Trust and 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.
The US base salary range for this full-time position is $136,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Deliver tooling and cross-functional work projects as a key contributor.
- Act as a crucial bridge between policy/operations and engineering, translating concerns from non-technical audiences into arguments for technical audiences by writing requirements, and translate technical concepts to non-technical audiences, guiding decision-making for executives, legal teams, and operational stakeholders to harmonize inputs and manage the technology roadmap.
- Identify systemic issues, use data to diagnose root causes, and make arguments to prioritize engineering resources and evaluate the return on investment of automation projects.
- Contribute to the strategy and execution of AI initiatives, using AI to improve processes and create a trusted, scalable infrastructure that enables and expedites the implementation of additional automation in the future.
- Work with sensitive content or situations, and may be exposed to graphic, controversial, or upsetting topics or content.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in a policy, legal, trust and safety, or technology environment.
- Experience with data analysis, data tools, operations, or trend identification.
- Experience with AI technologies such as generative AI or large language models (LLMs).
Preferred qualifications:
- Experience working directly with engineering and product management teams, including drafting requirements or system workflows.
- Experience in technology industry business areas, such as operations, data analysis, and internet/online media.
- Experience leading AI and automation initiatives and building frameworks to demonstrate return on investment (ROI).
- Experience executing analysis to drive development, prioritization, and business planning.
- Experience building consensus from cross-functional decision-makers, using data and storytelling methods tailored to the audience and their familiarity with the subject.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.