The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution. 

Atlas Search is a growing cloud service that allows users to execute ANN vector search & complex search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. 

Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects.  This is a visible leadership role where you will be responsible for the technical success of our Search Query interface.

This role is based in our San Francisco office.

• Lead complex projects across the MongoDB ecosystem, for instance, co-optimization of approximate nearest neighbor vector search with the MongoDB aggregation framework
• Set initiative level strategy, architect plan, and lead team towards successful execution
• Identify, design, and implement features enhancing our query language, performance, and operability
• Perform code reviews with peers and make recommendations on how to improve our software development processes
• Influence and grow team members through active mentoring, and leading by example

• 8+ years experience in data management systems, specifically with a strong query processing and optimization background. A Master's or Ph.D degree in a related field is a plus
• Professionally experienced with designing high-volume query engines, such as a database, search system, or vector search system
• Experienced in the development and maintenance of stateful distributed systems
• Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others

• In 1 month, you will be mostly learning -  becoming familiar with our teams, systems and architecture
• In 3 months, you'll contribute to the improvement of our search engine service
• In 6 months, you'll be designing the next generation architecture and roadmap for search query optimization and execution within the MongoDB ecosystem

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

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 is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.