Google Ads is looking to lead the fight against ad fraud across Google's core engine by defining the technical strategy, cultivating a team, and delivering a massive impact on the Search Ads ecosystem. This involves addressing the business problem of invalid traffic and its impact on stakeholders, as well as developing and implementing advanced ML techniques and AI/Agent technologies to detect and prevent spam.
Requirements
- Experience in machine learning in abuse detection or with Ads.
- Experience with Statistics, Data Science and SQL Pipelines.
- Experience with Natural Language Processing and Generative AI.
Responsibilities
- Direct Research and Development (R&D) technical initiatives to measure, analyze and categorize spam, using advanced tools and agentic workflows to pinpoint elusive threats.
- Guide the team to engineer resilient defenses by designing and implementing new signals and advanced ML techniques at Google-scale.
- driving efficiency and defense velocity by embracing AI/Agent technologies.
- Lead the end-to-end defense strategy for Search Ads as the domain authority with understanding of how Invalid Traffic impacts all stakeholders.
- Shape the defense roadmap across AdSpam and key SAGE partner organizations while driving cross-functional capabilities by building high-leverage relationships with Product Leads across Search Ads to influence partners.
- optimize your own code but make sure Engineers are able to optimize theirs.
- manage your project goals, contribute to product strategy and help develop your team.
Other
- 8 years of experience with software development.
- 5 years of experience in a technical leadership role overseeing projects.
- 5 years of experience in a people management, supervision/team leadership role.
- Build, grow and inspire a team of engineers, functioning as a leader by owning the team’s annual and quarterly strategy.
- 5 years of experience working in a complex, matrixed organization.
