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.
MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.
We are seeking an Engineering Manager to lead the team that owns MongoDB Search in our Community and Enterprise Advanced environments, as well as the management of the Search and Vector Search index catalog.
You're an ideal candidate if:- You have 2 or more years of experience managing a team of software engineers
- You have strong technical judgment that you use to effectively guide engineering decisions without necessarily writing code yourself
- You have first-hand experience developing complex systems like databases, distributed systems, or high-performance applications and you use this context to understand the challenges your team faces
- You enjoy coaching, career development, and creating growth opportunities to help your team reach their full potential
- You care about building a diverse, inclusive environment where engineers can do their best work
- You put the customer first and don't hesitate to cross team boundaries in search of the right solution
- Lead and grow a team, managing all aspects of people management including hiring, growth, compensation, and performance management
- Be directly responsible for the results your team delivers
- Play a key role in defining the roadmap for the next 12 months
- Drive improvements to processes and tools especially those that allow us to confidently make changes to high risk parts of our codebase
- Handle (or lead the effort to handle) time-sensitive customer escalations
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- Work with product managers, program managers, and other teams to specify, prioritize and deliver new features that delight our users
- Ensure high quality and velocity in the design and implementation of new functionality in Search and Vector Search
- Be open to occasional (twice a year) travel to the US
- In the first month:
- You have understood the high level architecture of the Search and Vector Search and the team's responsibilities
- You are starting to develop relationships with key stakeholders
- You have gained familiarity with the required day-to-day processes to manage the team
- In three months:
- You have taken over management of your team, and are starting to build trust with your reports
- You have hired two new engineers to the team
- You have assumed responsibility for the day-to-day processes necessary to keep the lights on
- You are involved in reviewing the design for new features and helping the team navigate technical challenges
- In six months:
- You have established your role as a leader in the organization such that team members naturally go to you for guidance
- You have hired and onboarded three new engineers to the team
- You are beginning to involve yourself in planning and roadmapping efforts
- You are leading the planning and execution of a new major feature
- In twelve months:
- You have performed a full annual cycle of performance and growth conversations with your team members
- You have contributed to the vision for the future of the Search team and helped develop a plan to achieve that vision
- You have increased the capability and velocity of your team in measurable ways
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: 2263178555
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.
