Product Manager, AdSpam Conversion and Bidding Integrity, Google Ads Google - 4.3 Mountain View, CA Job Details Full-time $138,000 - $197,000 a year 2 hours ago Qualifications AI models Product development project management AI tools proficiency Online advertising Generative models Machine intelligence Product strategy Generative AI Technical product management experience within tech Full Job Description Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in product management or related technical role. 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.). Experience integrating generative AI tools or LLM interfaces into workflows. Experience with digital advertising technologies. Experience in product management or technical strategy focused on trust and safety, anti-abuse, or fraud prevention.

Preferred qualifications:

Master's degree in a technology or business related field. 2 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting). 2 years of experience in a role preparing and delivering technical presentations to senior leadership. 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. 1 year of experience in software development or engineering. Ability to protect the ads ecosystem and user experience. About the job Ad fraud is one of the biggest challenges facing the digital advertising industry across web, app, video, and beyond. AdSpam's mission is to protect advertisers, users, publishers, and Google from fraud and abuse. We prevent the exploitation of Google's ad systems for monetary gain, collaborate across the industry to combat fraud beyond Google, and safeguard business against sophisticated, persistent, and globally distributed threats to ensure the long-term health of a free and open digital ecosystem. Google's advertising business increasingly relies on automated campaign strategies powered by AI bidding and optimization models. These systems automatically place ads to drive real business results—such as purchases, app installs, and leads (conversions). However, their effectiveness depends entirely on the integrity of their training data. When fraudsters manipulate conversion signals or generate fake activity, these models can be tricked into directing advertiser spend toward fraudulent or low-value inventory. The Conversions and Bidding Integrity team directly addresses this challenge. As a Product Manager, you will protect the critical signals feeding Google's business generation and bidding models from advanced abuse, complementing broader Invalid Traffic (IVT) defenses to steer advertiser budgets away from risk and toward genuine business value. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US:

$138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Identify emerging fraud vectors and design product strategies to protect automated bidding algorithms and conversion measurement from manipulation. Partner closely with engineering teams to integrate robust fraud-prevention mechanisms directly into Google's core ad-placement models. Collaborate across Ads Privacy and Safety, Trust and Safety, and Product leadership to define technical requirements and establish safety standards. Lead the rollout of sustainable anti-fraud protections across Machine Learning (ML) models and high-volume ad spend pipelines. Safeguard advertiser trust, protect business for legitimate publishers, and maintain the integrity of the broader advertising ecosystem. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.