Team Lead, YouTube Shopping Ads

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.

The YouTube (YT) Shopping Ads team drives the mission to make YouTube the most influential commerce destination through advertising. YTShopAds is responsible for creating and growing a multi-billion dollar business line for YouTube Advertising. In this role, you will provide authentic content that inspires, educates, and enables end-to-end shopping behavior. Imagine visiting YouTube and being presented a variety of unique products that match your interests, learning everything you need to know about these products, and taking the decision to move forward with your purchase. Our team’s goal is to make this seamless for YouTube watchers and Google’s advertisers.

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

• Optimize the delivery of shopping ads to YouTube viewers by incorporating new product information, refining content and presentation, and driving impact for users and customers in a full-stack manner.
• Contribute to the overall strategy of YouTube Shopping Ads, helping to build one of YouTube Ads' growing businesses.
• Develop expertise on the technical stack to deliver projects successfully.
• Work cross-functionally with product managers (PMs), user experience (UX) teams, and other software engineers (SWEs) to deliver on projects pertaining to YouTube Shopping Ads.
• Produce high-quality output and grow the business in conjunction with tech leads (TLs) and tech lead managers (TLMs) using a data-driven approach.

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.

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 with user understanding and analysis of user metrics and trends.
• Familiarity with PLX/SQL/database querying technologies.