MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
We are looking for an experienced manager and technical leader to join the MongoDB Server Query team and help us build a world-class distributed . Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization, plan selection, and execution.
We have a presence across the US and Europe including New York, Dublin, Berlin, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone.
We have tons of interesting problems to solve with a direct impact on users for transactional, vector, full-text-search, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.
This role can be based out of our US or Canadian offices or remotely in North America.
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