📌 Core Information
🔹 Job Title: Sensitive Content Analyst, Emerging AI Strategy
🔹 Company: Google
🔹 Location: Austin, TX, USA
🔹 Job Type: Full-time
🔹 Category: Computer and Network Security
🔹 Date Posted: April 22, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (Austin, TX)
🚀 Job Overview
Key aspects of this role include:
- Developing and delivering excellent evaluation frameworks for AI-generated content impartiality and objectivity
- Partnering with teams across Alphabet and industry to address key AI challenges
- Working with sensitive content and potentially upsetting material
- Collaborating cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases
ASSUMPTION: This role requires a strong understanding of AI and its implications, as well as excellent analytical and communication skills to navigate complex challenges and stakeholders.
📋 Key Responsibilities
✅ Design and implement strategies that align business objectives with systems
✅ Conduct strategic analysis, optimize business performance, and deliver within relevant product areas
✅ Manage projects involving multiple stakeholders, tight timelines, and changing circumstances
✅ Use Google's big data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making
✅ Perform deep-dive analysis of AI products, prepare written reports, and communicate findings to product and company leadership
✅ Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting content
ASSUMPTION: This role requires a high level of attention to detail, as well as the ability to work independently and in a team environment with shifting priorities.
🎯 Required Qualifications
Education: Bachelor's degree or equivalent practical experience
Experience: 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields
Required Skills:
- Excellent communication and presentation skills (written and verbal)
- Excellent problem-solving and critical thinking skills with attention to detail
- Ability to influence cross-functionally at various levels
- Experience with data collection, transformation, and visualization
- Familiarity with SQL and scripting/programming languages (e.g., Python)
Preferred Skills:
- Master's degree in a relevant field
- Experience with machine learning
- Experience in a scripting/programming language (e.g., Python)
ASSUMPTION: While a Master's degree and machine learning experience are preferred, a strong candidate with a Bachelor's degree and relevant experience in data analytics or a related field may also be considered.
💰 Compensation & Benefits
Salary Range: $110,000 - $157,000 USD per year (base salary only, excludes bonus, equity, and benefits)
Benefits:
- Bonus
- Equity
- Benefits (including health, dental, vision, and retirement plans)
Working Hours: Full-time (40 hours/week)
ASSUMPTION: The provided salary range is determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
📌 Applicant Insights
🔍 Company Context
Industry: Computer and Network Security
Company Size: 10,001+ employees (Google Cloud Security)
Founded: 2018 (Google Cloud Security)
Company Description:
- Google Cloud Security provides comprehensive cybersecurity solutions to address tough security challenges
- Offers services such as Mandiant frontline intelligence, a modern security operations platform, a secure-by-design cloud foundation, and more, all supercharged by AI
- Part of Google, which is known for its commitment to user privacy and security
Company Specialties:
- Cybersecurity solutions
- AI-driven security
- Cloud security
Company Website: cloud.google.com/security
ASSUMPTION: Google Cloud Security is a division of Google focused on providing cybersecurity solutions to organizations. It is part of Google's broader commitment to user privacy and security.
📊 Role Analysis
Career Level: Mid-level to senior role, with a focus on strategic analysis and project management
Reporting Structure: This role reports to the Responsible AI team within Google Trust and Safety
Work Arrangement: On-site in Austin, TX, with the possibility of remote work for some aspects of the role
Growth Opportunities:
- Potential to work on high-impact projects and influence Google's approach to AI-generated content
- Opportunities to collaborate with cross-functional teams and develop a deep understanding of Google's products and services
- Possibility to advance to senior roles within the Trust and Safety or Responsible AI teams
ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to make a meaningful impact on Google's approach to AI-generated content and user safety.
🌍 Location & Work Environment
Office Type: On-site in Austin, TX, with the possibility of remote work for some aspects of the role
Office Location(s): 250 Mayfield Ave, Mountain View, California 94043, US (Google's headquarters, with the possibility of working remotely)
Geographic Context:
- Austin, TX, is a major tech hub with a thriving job market and a high cost of living
- The role may require occasional travel to Google's headquarters in Mountain View, CA
- Google offers flexible work arrangements, including remote work and hybrid options
Work Schedule: Full-time (40 hours/week), with the possibility of flexible hours and remote work
ASSUMPTION: While this role is primarily on-site in Austin, TX, Google offers flexible work arrangements, including remote work and hybrid options, depending on the nature of the tasks and the candidate's preferences.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a recruiter or hiring manager
- Technical interview focusing on data analysis and problem-solving skills
- Behavioral interview focusing on communication, teamwork, and adaptability
- Final interview with the hiring manager or a panel of stakeholders
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Adaptability and resilience in the face of changing priorities
- Cultural fit with Google's values and work environment
Application Tips:
- Tailor your resume to highlight relevant experience in data analysis, Trust and Safety, policy, cybersecurity, or related fields
- Prepare for technical and behavioral interview questions by researching Google's products, services, and values
- Demonstrate your ability to work with sensitive content and potentially upsetting material
ATS Keywords: Data analysis, Trust and Safety, policy, cybersecurity, machine learning, SQL, dashboard building, data visualization, communication, problem-solving, critical thinking
ASSUMPTION: Google's application process is competitive and may involve multiple rounds of interviews, including technical and behavioral assessments. Tailoring your application and preparing for interviews is essential for success.
🛠️ Tools & Technologies
- Google's big data tools and platforms (e.g., BigQuery, Looker)
- SQL and other scripting/programming languages (e.g., Python)
- Data visualization tools (e.g., Tableau, Power BI)
- Project management tools (e.g., Asana, Trello)
ASSUMPTION: This role requires a strong proficiency in data analysis tools and platforms, as well as familiarity with SQL and other scripting/programming languages.
👔 Cultural Fit Considerations
Company Values:
- User-focused
- Inclusive
- Bold
- Collaborative
- Expert
Work Style:
- Data-driven
- Collaborative
- Adaptable
- Innovative
- User-centered
Self-Assessment Questions:
- Do you have a strong commitment to user privacy and security?
- Are you comfortable working with sensitive content and potentially upsetting material?
- Do you thrive in a collaborative, data-driven environment with shifting priorities?
ASSUMPTION: Google values candidates who are user-focused, inclusive, bold, collaborative, and expert. A strong cultural fit with these values is essential for success in this role.
⚠️ Potential Challenges
- Working with sensitive content and potentially upsetting material
- Navigating complex, cross-functional teams and stakeholders
- Managing projects with tight timelines and changing circumstances
- Keeping up with the fast-paced, ever-changing nature of AI and its implications
ASSUMPTION: This role presents unique challenges, including working with sensitive content and navigating complex, cross-functional teams. Strong communication, adaptability, and resilience are essential for success.
📈 Similar Roles Comparison
- Unlike other data analyst roles, this position focuses specifically on AI-generated content impartiality and objectivity, requiring a strong understanding of AI and its implications
- This role is part of Google's Trust and Safety team, which is responsible for identifying and fighting abuse and fraud cases across Google products
- Career progression in this role may lead to senior positions within the Trust and Safety or Responsible AI teams, with the potential to influence Google's approach to AI-generated content and user safety
ASSUMPTION: This role is unique in its focus on AI-generated content impartiality and objectivity, requiring a strong understanding of AI and its implications. It offers significant growth opportunities for the right candidate.
📝 Sample Projects
- Developing an evaluation framework for the impartiality and objectivity of Generative AI models
- Conducting a deep-dive analysis of AI products to identify user impact issues, abuse vectors, and trends
- Managing a project to optimize business performance within a relevant product area, involving multiple stakeholders and tight timelines
ASSUMPTION: These sample projects illustrate the data analysis, strategic thinking, and project management skills required for success in this role.
❓ Key Questions to Ask During Interview
- How does this role fit into Google's broader approach to AI-generated content and user safety?
- What are the most significant challenges facing the Responsible AI team in the next 12-24 months, and how does this role address them?
- How does this role collaborate with other teams within Google Trust and Safety, and what are the key priorities for these collaborations?
- What opportunities are there for growth and development within the Responsible AI team and Google Trust and Safety more broadly?
- How does Google support employees working with sensitive content and potentially upsetting material?
ASSUMPTION: Asking thoughtful, informed questions during the interview process demonstrates your interest in the role and your commitment to understanding Google's approach to AI-generated content and user safety.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight relevant experience in data analysis, Trust and Safety, policy, cybersecurity, or related fields
- Prepare for technical and behavioral interview questions by researching Google's products, services, and values
- Demonstrate your ability to work with sensitive content and potentially upsetting material
- Follow up with the recruiter one week after submission to confirm receipt of your application and inquire about next steps
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
