Job Description
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 a Lead Engineer to lead the MongoDB Search Query Platform & Availability team, ensuring querying and indexing tasks are highly available. Enable the vector and lexical search teams to more effectively enhance the product by solving common platform challenges at scale.
We are looking to speak to candidateswho are based in Toronto for our hybrid working model.
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
As an Engineering Manager on the Search team, you will:
- 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
Success Measures:
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 two 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
- You have produced a roadmap that has buy in from your counterparts
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
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: 4263333183
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
