Technical Lead, YouTube Ads Data Infrastructure
Listed on 2026-07-27
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Software Development
Software Engineer, Data Engineering, AI Engineer (Applied/Software)
Technical Lead, You Tube Ads Data Infrastructure
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 3 years of experience with software design and architecture.
- 5 years of experience building and developing large-scale infrastructure and large-scale distributed systems.
- Experience with storage systems.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 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 in people management.
- Experience in data analytics, preferably with Google analytics.
- Experience working with compute infrastructure.
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.
As a member of the You Tube Ads Data Infrastructure team, you will design and scale the critical data systems that power everything from ads model training and analytics to billing and reporting. You will have an opportunity to gain a deep understanding of the You Tube Ads stack while collaborating with various product teams to engineer the data infrastructure of the future.
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 You Tube creators, with effective advertiser tools that deliver measurable results.
We also enable Google to engage with customers ividual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
- Drive execution of high-impact, visible data projects, establishing the technical strategy and investment road-map for sustainable You Tube Ads growth.
- Architect cost-efficient, sub-linear data and logging infrastructure capable of managing millions of Queries Per Second (QPS) for model training, billing, and reporting.
- Deliver critical data solutions, including low-latency streaming datasets and improving end-to-end log freshness from over 40 hours to under 6 hours.
- Collaborate with executive leaders and product teams across the organization to unify workflows, ensure…
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