Principal Engineer, Agentic Platforms, Ads

About the role

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We are 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.

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.

Requirements

• 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.

Skills

• Strong technical leadership and project management skills.
• Experience with AI and machine learning technologies.
• Excellent communication and collaboration skills.
• Ability to work effectively in a fast-paced, dynamic environment.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Pay

$307000 - $427000 (USD) + 30% bonus target + equity + benefits

Schedule

N/A