Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in Java or C++. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Experience in software development, with frontend development and UI thinking. Experience leveraging Generative AI/LLMs for user facing problems. Experience using developer AI tools, LLMs, or Gemini across the software development life cycle. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction and working in a complex, matrixed organization involving cross-functional, or cross-business projects. Prior search/ads experience or general experience of building at the intersection of UI, metrics and may be AI in consumer space. Good product and UX intuition and rapid hypothesis testing. Excellent problem-solving, communication, and collaboration skills. About the job 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. Search ads is a primary economic engine for Google, and our user experience is at the heart of that success. We are at a pivotal moment where GenAI is fundamentally rewriting the playbook for both what we build and how we build it, unlocking new opportunities for significant user satisfaction and revenue wins for Google. Our team is at the forefront of this shift. We are pioneering next-generation, AI-native ad experiences for users, while simultaneously revolutionising the entire ads product engineering lifecycle using Gemini and Large Language Models (LLMs). 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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Be the technical linchpin shaping both the product goal and the engineering culture, working closely with UX, product manager and engineers leads across Search and Ads teams to align strategies and deliver cohesive, exceptional experiences. Architect novel full-stack experiences for search ads that elevate user expectations and delight, while delivering Long-term revenue per mille (LTRPM). Drive the adoption of DevAI tools to accelerate end-to-end prototyping, and build systems that automate analysis and optimization at scale. Navigate a rapidly evolving Applied AI ecosystem, growing relationship with Research organizations (AdsAI and DM) and chart long-term technical strategy for our e2e architecture, ensuring our infrastructure remains agile and ahead of the curve for years to come. Drive 10x better ad experiences compared to what we have today in the world of AI that is evolving continuously.