Engineering Analyst Manager, Ads Fraud and Integrity

Google

Location
Bengaluru, Karnataka, India
Salary range
Not stated
Workplace
In office
Level
Manager
Job family
Engineering
Posted
Recently

The T&S Network estimates this role to be M3, Manager. We don't yet know typical pay for this level in India. Most of our pay data comes from US roles. If you work in Trust & Safety in India, add your pay to help others. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.

Learn more about this and similar levels
Why this level

Estimated from the posting rather than stated by the employer: the posting states the level in its title · the title reads as M3 · asks for 10+ years.

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The role, in T&S terms

Written by the T&S Network from Google's posting.

Fraud and abuse work protecting Google Ads products from adversarial actors, covering threats such as malware and cloaking. The team sits in Trust and Safety and works to identify and fight abuse and fraud across Google Ads while balancing user safety with the advertiser experience.

What you'd do

  • Direct and mentor a team of Engineering Analysts on AI transformation and strategic work against fraud.
  • Work with PM, Engineering, and Legal to design layered defenses against new Ads threats.
  • Lead development of AI-driven enforcement capabilities to act on abuse at scale.
  • Establish evaluation frameworks and measurement methods for AI agents and ML models used in fraud detection.
  • Lead investigations into complex TTPs, track actors, and disrupt organized fraud rings targeting Google Ads.
  • Work with sales leadership on recovery experiences for advertisers affected by policy enforcement.

What it asks for

  • Bachelor's degree or equivalent practical experience.
  • 7 years developing technical strategy and data-driven solutions, including multi-tiered policy enforcement systems.
  • 3 years of people management mentoring analytical or technical teams in applied AI.
  • Experience turning data analyses and abuse trends into strategy for non-technical stakeholders and leadership.
  • 10 years of technical strategy and data-driven solutions at scale, including complex enforcement systems (preferred).
  • Working knowledge of how ML models are built and maintained, including human review loops, precision and recall, and performance decay over time (preferred).
  • Ability to evaluate vendor technical architectures for AI-driven defenses (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Google before you apply. If we got something wrong, report this listing.

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AI and model safety · Media and streaming · Infrastructure and developer tools · Mountain View, CA · More than 100,000 people · Founded 1998

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Search, advertising, Android, YouTube and Cloud, and the source of Perspective API and Jigsaw.

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