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Engineering Analyst Manager, Ads Fraud and Integrity
Google
Bengaluru, IND
Manager · 10+ years experience
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Responsibilities
- Direct and mentor a high-performing team of Engineering Analysts, fostering AI transformation, operational excellence and strategic execution against adversarial fraud.
- Partner with PM, Engineering, and Legal to build Defense in Depth strategies that enhance user safety and fortify the Google Ads ecosystem against emerging threats.
- Lead the development of AI-driven enforcement capabilities, to proactively combat abuse at scale. Establish robust evaluation frameworks for the AI era, pioneering rigorous measurement methodologies and overseeing programs to train next-generation AI agents/ML Models for fraud detection.
- Lead investigations into complex TTPs (Tactics, Techniques, and Procedures) to perform actor tracking and disrupt organized fraud rings targeting Google Ads.
- Partner closely with sales leadership to architect and implement streamlined recovery experiences for advertisers impacted by policy enforcement, balancing user harm with advertiser experience.
- - Direct and mentor a high-performing team of Engineering Analysts, fostering AI transformation, operational excellence and strategic execution against adversarial fraud. - Partner with PM, Engineering, and Legal to build Defense in Depth strategies that enhance user safety and fortify the Google Ads ecosystem against emerging threats. - Lead the development of AI-driven enforcement capabilities, to proactively combat abuse at scale. Establish robust evaluation frameworks for the AI era, pioneering rigorous measurement methodologies and overseeing programs to train next-generation AI agents/ML Models for fraud detection. - Lead investigations into complex TTPs (Tactics, Techniques, and Procedures) to perform actor tracking and disrupt organized fraud rings targeting Google Ads. - Partner closely with sales leadership to architect and implement streamlined recovery experiences for advertisers impacted by policy enforcement, balancing user harm with advertiser experience.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
7 years of experience developing technical strategy and executing data-driven solutions, including building and managing multi-tiered policy enforcement systems.
3 years of experience in people management, including mentoring analytical and technical teams (e.g., data scientists, engineering analysts) in applied AI.
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