Shape the future of how billions connect and explore information by developing next-generation technologies. This role is key to Google's mission, tackling massive-scale challenges across various domains including information retrieval, distributed computing, AI, and more. Join a dynamic team where you can switch projects and grow with our fast-paced environment, contributing fresh ideas and versatile leadership to push technological boundaries.

Provide technical leadership for high-impact projects, defining long-term strategy and executing multi-quarter roadmaps. Influence and mentor a distributed engineering team, leveraging AI tools to enhance development velocity. Drive alignment across teams on goals and timelines, collaborating with partners to establish data quality frameworks and governance. Manage project priorities and deliverables, leading the design and development of infrastructure for continuous learning and real-time data optimization.

Design, develop, test, and maintain large-scale software solutions. Apply machine learning and algorithmic approaches to analyze product usage patterns and enhance customer journeys.

Requires a Bachelor's degree or equivalent practical experience, coupled with at least 8 years of C++ programming expertise. Possess 5 years of experience in software product design, architecture, and testing. Proficiency in data analytics and SQL pipelines is essential.

Preferred qualifications include a Master's or PhD in a technical field, 5 years in a technical leadership capacity, experience with ML for data quality issues (e.g., deduplication, anomaly detection), and familiarity with large-scale distributed data infrastructure. The ability to navigate ambiguity and bootstrap new product areas is also highly valued.