Campaign Automation is building a goals-first advertising platform where advertisers describe their business goals in their own language and Google AI does the rest.
Getting there means turning deeply complex advertising experiences/systems into agentic experiences that advertisers trust and that measurably drive value to their business. We have depth in bidding, experimentation, and measurement. We're hiring an engineer who can turn that depth into a compelling agentic experience.Google Ads is at the forefront of AI innovation, applying 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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Provide technical leadership on high-impact projects.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Lead zero-to-one agentic efforts from concept to compelling prototypes, owning the phase where the problem/solution is still undefined.
- Build end-to-end, covering agent design, tool surfaces, state, streaming, and the frontend experience, strongly shaping the implementation of a first version.
- Set the bar for AI-native user experiences, bringing in strong design judgement to a space where the interaction patterns are still being invented.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience with design and architecture; and testing/launching software products.
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.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.