Job description

Users come first at Google. Nowhere is this more important than in our Advertising: we believe that ads and commercial information can be highly useful to our users, especially when that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and businesses around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow. The Ads DevAI Platform team enables Ads to leverage the power of LLMs to accelerate optimizations, infra migrations, resource efficiency and more. The team builds the infrastructure and marquee agents required to enable AI-powered acceleration for Ads engineering workflows. The Ads Platform team is seeking a strong senior technical leader to design and accelerate Ads engineering workflows using AI. Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology. 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 Learn more about benefits at Google . • 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. • Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience. • 15 years of professional experience in engineering. 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.

Requirements

Must-haves

The Ads Platform team is seeking a strong senior technical leader to design and accelerate Ads engineering workflows using AI.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
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.
Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
15 years of professional experience in engineering.
Bachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.
15 years of professional experience in engineering.

Nice-to-haves

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

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Keywords to mirror

aimachine learning

Platform: google
Effort: medium

Benefits

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Vision