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About the Role
Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on the retail segment of Search Ads, driving advertiser goals through performance, directives, and insights to empower businesses in the retail ecosystem. You will shape how retailers connect with customers in the age of AI by defining the technical and strategic roadmap for signals, LTV value, optimization, and advertiser directives. By leading cross-functional teams, you will build the foundational intelligence that powers automated value delivery across Search Ads for Retail. 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.
Responsibilities
- Own the technical and strategic roadmap for retail signals, goals, and optimization.
- Improve user understanding, advertiser intent, and LTV value definition to power automated value delivery for retailers.
- Lead the solution space, which is distributed across multiple teams, technically and strategically, while working with Product Management.
- Work with Product Managers and Executives to identify the right areas of improvement, ensuring all areas come together (e.g., how to consolidate different tools for value adjustments and use consistently across predictions and optimization).
- Work with senior cross-product area partners to leverage their expertise and infrastructure.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, and with data structures and algorithms.
- 8 years of experience testing, maintaining, or launching software products.
- 5 years of experience with software design and architecture.
- Experience in Ads or Search products.
- Strong understanding of auction dynamics, prediction and quality systems, and advertiser-facing tools.
Skills
- Software development
- Data structures
- Algorithms
- Software design
- Software architecture
- AI
- Machine learning
- Generative AI
- Performance optimization
- Data synthesis
- Strategic insights
- Technical roadmaps
- Cross-functional leadership
- Stakeholder alignment
- Auction dynamics
- Prediction systems
- Quality systems
- Advertiser-facing tools
Experience Level
- 8 years of experience with software development
- 5 years of experience with software design and architecture
Education Level
- Bachelor's degree or equivalent practical experience
Salary/Compensations
- $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Benefits
- 25% bonus target
- Equity
- Benefits
About the Company
- 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.
- We work on the retail segment of Search Ads, driving advertiser goals through performance, directives, and insights to empower businesses in the retail ecosystem.
- 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.