Team Lead, Content Adversarial Red Team

1 Month ago • 10 Years + • Data Analyst

Job Summary

Job Description

This role is a Team Lead for the Content Adversarial Red Team at Google, based in Hyderabad, India. The team focuses on identifying and mitigating risks to the safety and integrity of Google's products. Responsibilities include leading a team, setting priorities, providing performance feedback, designing strategies to support business objectives, conducting strategic analysis to optimize performance, managing complex projects, and leveraging big data to influence business decision-making. The ideal candidate has 10+ years of experience in relevant fields (data analytics, Trust & Safety, etc.) and 1+ year of people management experience. Strong analytical skills, understanding of AI systems and their risks, and proficiency in multiple languages (especially those used in APAC) are crucial. The role involves working with engineers and product managers across Google to fight abuse and fraud, ensuring user safety and trust.
Must have:
  • 10+ years experience in relevant fields
  • 1+ year people management experience
  • Strong analytical & problem-solving skills
  • Understanding of AI systems and risks
  • Proficiency in multiple languages
Good to have:
  • Master's degree in related field
  • 3+ years experience in adversarial testing
  • Experience in AI/ML ethics
  • APAC language proficiency

Job Details

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, or related fields.
  • 1 years of experience in people management, leading a team.

Preferred qualifications:

  • Master's degree in Computer Science, Information Security, Artificial Intelligence, or a related field.
  • 3 years of experience in adversarial testing, red teaming, AI/ML ethics/responsibility, Trust and Safety, or product policy.
  • Proficiency in multiple languages, especially those relevant to Google's global user base, including languages commonly used in APAC.
  • Understanding of AI systems, machine learning, and their potential risks.

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.

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 diverse 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.

Responsibilities

  • Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
  • Design and implement integrations between business objectives and business systems, including designing and building strategies that support these business systems.
  • Conduct strategic analysis, optimize business performance, and deliver within relevant product areas. This includes analyzing data, identifying trends, and developing solutions that improve business performance.
  • Manage projects involving multiple stakeholders, tight timelines, important organizational implications, and changing circumstances.
  • Use Google’s big data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.

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