Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial intelligence,
natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
As a part of the Accounts Payable (AP) Optimization Frontend team, you will be at the core of the Google Ads platform, serving as the interface for advertiser growth and troubleshooting. You will own the product experiences and serving infrastructure for three critical pillars: Recommendations, Insights, and Performance Diagnostics. Your work is a primary driver of advertiser success, contributing hundreds of dollars in incremental attributable business growth annually through automated optimization and transparency solutions.
You will empower advertisers to optimize their spend and achieve business goals by delivering personalized, contextualized, and automated insights, diagnostics, and recommendations through intuitive UI and agentic experiences that drive sustainable growth.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: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Manage and mentor a team of Software Engineers and Technical Leads, fostering a culture of engineering excellence, product ownership, and continuous growth.
- Drive the technical strategy and end-to-end execution for the Ads Diagnostics, Insights, and Recommendations pillars, delivering features that drive significant incremental business and improve advertiser trust.
- Architect the long-term evolution of the frontend serving stack, transitioning from multiple isolated server binaries to a unified, scalable, and high-performance platform to unblock innovation and increase engineering velocity.
- Oversee the development of next-generation AI-powered capabilities, including Ads Guide and Smart Summary, leveraging Large Language Models (LLMs) to provide personalized, and actionable guidance to advertisers.
- Maintain accountability for system health, latency, and performance metrics, ensuring that our high-scale frontend services meet the demands of the global Google Ads ecosystem.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with front-end frameworks, full-stack development, or API development.
- 7 years of experience in either system design or in one programming language (Java, C++, Python, etc.).
- 7 years of experience testing, and launching software products, and 5 years of experience with software design and architecture.
- 5 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Experience building and scaling AI-driven product features using Large Language Models (LLMs) to create "agentic" experiences, such as conversational assistants or automated summary tools.
- Experience with recommendation systems, Model Context Protocol (MCP) and AI Platform technologies.
- Proven track record of leading large-scale architectural shifts, such as the unification of disparate frontend stacks or the migration of legacy server binaries into high-performance, low-latency platforms.
- Ability to partner with Product Management (PM), UX, and Data Science leadership to translate advertiser needs into technical roadmaps that drive measurable business impact (e.g., incremental attributable business growth).