Lead Technical Product Manager — Machine Learning Platform
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You'll set technical vision and architecture for backend backup infrastructure, designing resilient high-throughput services, sync protocols, and ingestion pipelines while mentoring engineers and driving best practices across teams. This role requires eight years of C++ programming, five years launching software products, five years building large-scale infrastructure or distributed systems, and three years in software design and architecture. Work involves cross-functional collaboration with product, business development, security, and partner engineering teams.
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Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.
38 more Infrastructure & Platform Engineer roles in Mountain View
209K – 286K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 48 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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