Engineering Manager, Query

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 open-source query processing engine. 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.

Candidate Profile

• 8+ years of professional experience
• Demonstrated success as a people manager or tech lead
• A passion for mentoring and teaching
• High emotional intelligence and a commitment to building inclusive teams
• Hand-on coding skills in C++ or another backend / systems language
• Experience with building production-level code with a large user base, robust design, and rigorous code quality
• Passion for the theory and practice of database query engines
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design / architecture

Position Expectations

Success Measures

EEO and Accommodations

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

MongoDB's base salary range for this role in the U.S. is : $137,000 — $270,000 USD

MongoDB is not responsible for unsolicited resumes. Please note that we will only communicate with applicants using @mongodb.com and @greenhouse.io domains. For the latest job postings, visit https : / / www.mongodb.com / careers.

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