Principal Engineer, Agentic Platforms, Ads
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Responsibilities
- Design and build the foundational DevAI infrastructure for Ads, ensuring extensibility, applicability, and maximum ROI across all business verticals and functions.
- Provide technical leadership and uber-TL oversight for cross-cutting Ads Internal AI projects, including marquee agents, AI-friendly infrastructure, and strategic DevAI big bets.
- Drive the transition toward AI-forward architecture and self-managing codebases by enabling agentic evaluation-driven development, skills, and context integration.
- Lead the technical strategy and development for the DevAI platform and custom agents.
- Collaborate with uber-TLs across Ads PAGs, Core, and GDM to influence roadmaps, technical direction, and Google's broader Buying platforms and Ads vision.
- - Design and build the foundational DevAI infrastructure for Ads, ensuring extensibility, applicability, and maximum ROI across all business verticals and functions. - Provide technical leadership and uber-TL oversight for cross-cutting Ads Internal AI projects, including marquee agents, AI-friendly infrastructure, and strategic DevAI big bets. - Drive the transition toward AI-forward architecture and self-managing codebases by enabling agentic evaluation-driven development, skills, and context integration. - Lead the technical strategy and development for the DevAI platform and custom agents. - Collaborate with uber-TLs across Ads PAGs, Core, and GDM to influence roadmaps, technical direction, and Google's broader Buying platforms and Ads vision.
Minimum qualifications:
Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
15 years of professional experience in engineering.
Preferred qualifications:
Master's degree in Computer Science, Mathematics, or Engineering.
Experience providing technical leadership across a larger organization, including motivating others at all levels by creating a shared sense of vision and purpose.
Knowledge of Google Ads products, the ecosystems our products and users exist in, and our competitors and their products.
Ability to balance detailed, technical guidance with “big picture” strategy.
Thought leadership to identify and design problems commensurate with PE scope and difficulty and a desire to solve hard engineering problems.
A demonstrated track record of technical innovation within large, complex, and cross-functional engineering environments.
Qualifications
- Minimum qualifications: - Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience. - 15 years of professional experience in engineering. Preferred qualifications: - Master's degree in Computer Science, Mathematics, or Engineering. - Experience providing technical leadership across a larger organization, including motivating others at all levels by creating a shared sense of vision and purpose. - Knowledge of Google Ads products, the ecosystems our products and users exist in, and our competitors and their products. - Ability to balance detailed, technical guidance with “big picture” strategy. - Thought leadership to identify and design problems commensurate with PE scope and difficulty and a desire to solve hard engineering problems. - A demonstrated track record of technical innovation within large, complex, and cross-functional engineering environments.
About Google
Technology company specializing in search, advertising, cloud computing, and AI
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