Job description
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
- 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
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.
Req ID: 3263239071
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.
MongoDB’s base salary range for this role in the U.S. is:
$137,000—$270,000 USD
