Job description

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. The YouTube Ads Infrastructure team continues to innovate on data collection and serves infra to maximize the value of advertiser audiences in YouTube Ads serving. The end goal is to continuously improve ads personalization for YouTube users, and to increase Return on Investment (ROI) for YouTube advertisers looking for new customer acquisition and/or re-engagement with existing customers on YouTube. Advertiser audiences such as an advertiser’s app user, website visitors, or all purchasers are often considered the most direct and effective means to achieve the advertiser’s marketing objectives. 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . • Bootstrap a new YouTube Ads Infrastructure team focusing on next-gen audience audience data collection and serving for high-performance New Customer Acquisition (NCA) and re-engagement with existing customers on YouTube. • Build a three year roadmap and strategy for a high-performing team with a clear sense of mission, and effective collaboration with cross-functional partner teams (Product, Sales, etc.). • Provide detailed designs and offer sound technical steers for in-team decisions/execution, and effective influence over cross-functional team technical alignments. • Set coding guidelines for the team to execute effectively. • Bachelor's degree or equivalent practical experience. • 8 years of experience with software design and architecture. • Experience with data processing. • Experience with distributed systems. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 8 years of experience with software design and architecture. • Experience with data processing. • Experience with distributed systems. 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. • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. • Experience working with advertising workflows and advertising effectiveness. • Experience with product development.

Requirements

Must-haves

Advertiser audiences such as an advertiser’s app user, website visitors, or all purchasers are often considered the most direct and effective means to achieve the advertiser’s marketing objectives.
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 .
Bootstrap a new YouTube Ads Infrastructure team focusing on next-gen audience audience data collection and serving for high-performance New Customer Acquisition (NCA) and re-engagement with existing customers on YouTube.
Build a three year roadmap and strategy for a high-performing team with a clear sense of mission, and effective collaboration with cross-functional partner teams (Product, Sales, etc.).
Provide detailed designs and offer sound technical steers for in-team decisions/execution, and effective influence over cross-functional team technical alignments.
Set coding guidelines for the team to execute effectively.
Bachelor's degree or equivalent practical experience.
8 years of experience with software design and architecture.
Experience with data processing.
Experience with distributed systems.
Bachelor's degree or equivalent practical experience.
8 years of experience with software design and architecture.
Experience with data processing.
Experience with distributed systems.
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.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience working with advertising workflows and advertising effectiveness.
Experience with product development.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: google
Effort: medium