📌 Core Information
🔹 Job Title: Content Adversarial Red Team Analyst, Trust and Safety
🔹 Company: Google
🔹 Location: Washington, DC
🔹 Job Type: Full-time
🔹 Category: Trust & Safety
🔹 Date Posted: May 20, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Remote OK
🚀 Job Overview
Key aspects of this role include:
- Protecting users and Google products from abuse and fraud
- Collaborating cross-functionally to identify and mitigate emerging content safety risks
- Leading red teaming projects to uncover unknown AI issues and vulnerabilities
- Advocating for AI safety initiatives and building stakeholder relationships
ASSUMPTION: This role requires a strong background in AI safety, red teaming, or related fields, as well as excellent problem-solving skills and strategic thinking.
📋 Key Responsibilities
✅ Own and lead red teaming projects for Google’s Generative AI products, using novel strategies to identify unknown content safety risks
✅ Develop and execute innovative red teaming strategies, collaborating with cross-functional teams, reviewing raw results, and analysis
✅ Provide thought leadership and expertise in AI safety, including advocating AI safety initiatives and building relationships with stakeholders
✅ Develop and implement strategic programs to improve AI safety and security, including defining and developing new programs, and developing and promoting best practices
ASSUMPTION: This role requires a deep understanding of AI model architectures and their vulnerabilities, as well as familiarity with content moderation policies and best practices.
🎯 Required Qualifications
Education: Bachelor's degree or equivalent practical experience
Experience: 4 years of experience in technology, red teaming, policy, cybersecurity, anti-abuse, Trust and Safety, or related fields
Required Skills:
- Red teaming and adversarial testing
- AI safety and ethics
- Data analysis and problem-solving
- Cross-functional collaboration
- Stakeholder engagement and communication
Preferred Skills:
- Master's degree in relevant field
- Experience working with Google's products and services, particularly GenAI products
- Experience working with large datasets and data analysis tools
- Experience in multiple languages, including those relevant to Google's global user base
- Familiarity with different AI model architectures and their vulnerabilities
ASSUMPTION: While a Master's degree is preferred, a Bachelor's degree with relevant experience is also acceptable for this role.
💰 Compensation & Benefits
Salary Range: $110,000 - $157,000 + bonus + equity + benefits
Benefits:
Working Hours: Full-time (40 hours/week)
ASSUMPTION: The provided salary range is determined by role, level, and location, with individual pay determined by work location and additional factors.
📌 Applicant Insights
🔍 Company Context
Industry: Computer and Network Security
Company Size: 10,001+ employees
Founded: 2018
Company Description:
- Google Cloud Security offers comprehensive cybersecurity solutions to address tough security challenges
- Utilizes frontline intelligence and expertise, a modern security operations platform, a secure-by-design cloud foundation, and AI to keep users and organizations safe online
Company Specialties:
- Mandiant frontline intelligence and expertise
- Modern, intel-driven security operations platform
- Secure-by-design cloud foundation
- AI-driven security solutions
Company Website: cloud.google.com/security
ASSUMPTION: Google Cloud Security is a division of Google, focusing on providing robust security solutions for organizations.
📊 Role Analysis
Career Level: Mid-level to Senior
Reporting Structure: This role reports directly to the Trust & Safety team and collaborates with cross-functional teams
Work Arrangement: Remote OK, with the possibility of on-site work at Google offices
Growth Opportunities:
- Expanding expertise in AI safety and ethics
- Developing leadership skills through cross-functional collaboration and stakeholder engagement
- Potential career progression into senior roles within the Trust & Safety team or related fields
ASSUMPTION: This role offers opportunities for professional growth and development within Google's Trust & Safety team and related fields.
🌍 Location & Work Environment
Office Type: Google's global offices, with a focus on the Washington, DC area
Office Location(s): 250 Mayfield Ave, Mountain View, California 94043, US (Headquarters)
Geographic Context:
- Washington, DC is a major hub for technology, politics, and international affairs
- The area offers a diverse range of cultural, historical, and recreational opportunities
- Google's offices in the DC area provide a modern, collaborative work environment
Work Schedule: Full-time, with flexible hours and the possibility of remote work
ASSUMPTION: While this role is remote OK, there may be occasions when on-site work is required, particularly for collaboration and team-building purposes.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a recruiter or hiring manager
- Technical interview with a team member or manager
- Final interview with the hiring manager or team
Key Assessment Areas:
- Technical expertise in AI safety, red teaming, and data analysis
- Problem-solving skills and strategic thinking
- Cross-functional collaboration and communication skills
- Cultural fit and alignment with Google's values
Application Tips:
- Highlight relevant experience and skills in AI safety, red teaming, and data analysis
- Tailor your resume and cover letter to emphasize your problem-solving skills and strategic thinking
- Prepare for behavioral and situational interview questions that assess your cross-functional collaboration and communication skills
- Research Google's Trust & Safety team and AI safety initiatives to demonstrate your enthusiasm and cultural fit
ATS Keywords: Red teaming, AI safety, adversarial testing, data analysis, cross-functional collaboration, stakeholder engagement, content moderation, AI ethics, problem-solving, strategic thinking
ASSUMPTION: Google uses Applicant Tracking Systems (ATS) to screen resumes, so including relevant keywords from the job description can improve your chances of being selected for an interview.
🛠️ Tools & Technologies
- Google's suite of products and services, including Generative AI products
- Data analysis tools (e.g., BigQuery, Looker)
- Collaboration tools (e.g., Google Workspace, Slack)
- Project management tools (e.g., Asana, Trello)
ASSUMPTION: Familiarity with Google's products and services, as well as relevant data analysis and collaboration tools, is beneficial for this role.
👔 Cultural Fit Considerations
Company Values:
- Users first
- It's best to do one thing really, really well
- Fast is better than slow
- More is not better
- You don't need to be at your desk to need a desk
- Work should be fun
Work Style:
- Data-driven decision making
- Cross-functional collaboration and teamwork
- Continuous learning and innovation
- Results-oriented and focused on user impact
Self-Assessment Questions:
- Do you have a strong background in AI safety, red teaming, or related fields?
- Are you an excellent problem solver with strong strategic thinking skills?
- Do you thrive in a collaborative, cross-functional work environment?
- Are you passionate about protecting users and promoting trust in Google's products?
ASSUMPTION: Applicants should assess their fit with Google's company values and work style, as well as their alignment with the specific requirements and responsibilities of this role.
⚠️ Potential Challenges
- Keeping up with the fast-paced and ever-evolving nature of AI and content safety risks
- Balancing the need for innovation with the requirement to maintain user trust and safety
- Collaborating effectively with cross-functional teams and stakeholders across different time zones and cultures
- Adapting to the dynamic work environment and priorities of a large, global organization
ASSUMPTION: Applicants should be prepared to face these potential challenges and demonstrate their ability to thrive in a dynamic, fast-paced work environment.
📈 Similar Roles Comparison
- This role is similar to other AI safety and red teaming positions, but with a focus on content safety risks within Google's Generative AI products
- Unlike some other roles, this position requires a strong understanding of content moderation policies and best practices
- Career progression in this role may lead to senior positions within the Trust & Safety team or related fields, with opportunities for increased responsibility and impact
ASSUMPTION: Applicants should consider how this role differs from and compares to other AI safety and red teaming positions, as well as the potential career growth opportunities it offers.
📝 Sample Projects
- Developing and executing a novel red teaming strategy to uncover unknown content safety risks in Google's Generative AI products
- Analyzing large datasets to identify trends and patterns in content safety risks and vulnerabilities
- Collaborating with cross-functional teams to develop and implement strategic programs to improve AI safety and security
ASSUMPTION: Applicants should be prepared to discuss their experience with and approach to these types of projects during the interview process.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader Trust & Safety team and Google's overall security strategy?
- What are the most pressing content safety challenges facing Google's Generative AI products, and how can this role help address them?
- How does this role collaborate with other teams and stakeholders within Google, and what are the key priorities for the first 90 days?
- What opportunities are there for professional growth and development within this role and the broader Trust & Safety team?
- How does Google support work-life balance and employee well-being, particularly for remote workers?
ASSUMPTION: Applicants should ask thoughtful, informed questions that demonstrate their interest in and understanding of the role and its context within Google.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills in AI safety, red teaming, and data analysis
- Prepare for behavioral and situational interview questions that assess your problem-solving skills, strategic thinking, and cross-functional collaboration
- Research Google's Trust & Safety team and AI safety initiatives to demonstrate your enthusiasm and cultural fit
- Follow up with the recruiter or hiring manager one week after submitting your application, if you haven't heard back
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
