Technical Lead, YouTube Ads Data Infrastructure
Kirkland, WA, USA
Sponsorship not specified$207k-$301kDetected 13 hours ago
Full-Stack DevelopmentData AnalysisNLPUI DesignLeadership
About the role
- - Bachelor's degree or equivalent practical experience.
- - 8 years of experience programming in C++.
Responsibilities
- Drive execution of high-impact, visible data projects, establishing the technical strategy and investment road-map for sustainable YouTube Ads growth.
- 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 compliance, and maximize Return on Investment (ROI).
- Guide and mentor team engineers while directly contributing to technical design, coding, and solving ambiguous, complex technical problems.
Requirements
- 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.
Nice to have
- 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.
- Our products need to handle information at massive scale, and extend well beyond web search.
- the list goes on and is growing every day.
Compensation
- US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
This listing is sourced directly from Google's careers page and normalized into a canonical job model.