Engineering Manager, Query

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
• Strong communication skills
• A passion for mentoring and teaching
• High emotional intelligence and a commitment to building inclusive teams
• Experience in data management systems
• 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

• You will sometimes zoom in and write code, but you are measured by the success of your team of 4–8 engineers
• You will deliver complete features in collaboration with the broader Query engineering and product team
• You will accurately estimate work and deliver it on time and with high code and design quality
• You will train and motivate your team and recruit new team members
• You will set high standards when evaluating the performance of your team
• You will exemplify MongoDB's values and leadership principles
• Up to three weeks per year of travel is expected to meet with remote team members and attend team events

Success Measures

• In three months you will:

• Understand our development and release processes

• Understand the strengths and weakness of each member of your team
• Contribute significantly to our codebases

• Build trusting relationships with your manager and peers

• In six months you will:

• Customize the ceremonies and processes that organize your team's work

• Provide design and architectural guidance for your team's work
• Identify what mentorship each individual needs to enable them to meet their goals

• Deliver significant new features

• In twelve months you will:

• Be trusted to execute complex projects with multiple stakeholders

• See your team develop their skills and achieve professional development goals
• Influence how we operate as a broader Query engineering team

About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

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 is an equal opportunities employer.

Req ID:
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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB's base salary range for this role in Canada is:

$162,000—$225,000 CAD