MongoDB Atlas Search and Vector Search let developers run complex search queries and build AI-powered applications directly inside MongoDB, without managing a separate search infrastructure. It is a product used by a large and growing number of customers who rely on it being fast, reliable, and available.The Search Query Platform & Availability (SQPA) team is a new team being built from the ground up. Its purpose is to own the foundational layer that keeps Atlas Search stable and scalable, and to give the engineers building search features the tools they need to move faster and ship with more confidence. The team's work spans three areas: keeping search reliable under pressure through resource controls and safeguards; building the tooling that helps Search engineers roll out changes safely at scale; and maintaining the engine, storage and dependencies that everything else depends on.You will be the first leader of this team. That means you are not stepping into an existing structure. You are shaping the roadmap, building the team, and establishing how SQPA operates within a broader Search org that is growing quickly.We are looking to speak to candidates who are based in Toronto, Ontario Canada for our hybrid working model.What you'll doLead and grow a team of software engineers, owning all aspects of people management including hiring, performance, career development, and compensationDefine and drive the 12-month roadmap for SQPA in close collaboration with stakeholders across Search, Platform, and ProductImprove the processes and tooling that allow the Search org to make changes confidently in high‑stakes parts of the codebaseOwn and lead resolution of time‑sensitive customer escalations related to search availability and performancePartner with peer engineering leads to establish clear ownership boundaries and make sure platform improvements create real value for the teams relying on themCollaborate with product managers, program managers,



and engineering teams across the company on large cross‑functional initiativesContribute to the long‑term vision for Search at MongoDB and help develop a plan to get thereWho we're looking for2+ years of experience managing a team of software engineers, including hiring, coaching, and performance conversationsA technical background in building or operating complex software systems, such as databases, distributed systems, query engines or data infrastructure at scalePrior experience with search systems or search infrastructure is a plus, but not requiredStrong judgment about when to go deep, when to delegate, and when to push back on scope or priorityComfort operating with some ambiguity. This team is new and the roadmap is still being shaped. The right person sees that as an chance to have real influence, not a reason to wait for more clarityA track record of working across team boundaries to get things done without waiting for perfect org alignmentA genuine interest in platform and reliability work, not just feature deliverySuccess MeasuresIn the first month:You have understood the high level architecture of the Search and Vector Search and the team's responsibilitiesYou are starting to develop relationships with key stakeholdersYou have gained familiarity with the required day‑to‑day processes to manage the teamIn three months:You have hired two new engineers to the teamYou have taken over management of your team,



and are starting to build trust with your reportsYou have assumed responsibility for the day‑to‑day processes necessary to keep the lights onYou are involved in reviewing the design for new features and helping the team navigate technical challengesIn six months:You have established your role as a leader in the organization such that team members naturally go to you for guidanceYou have hired and onboarded two new engineers to the teamYou are beginning to involve yourself in planning and road‑mapping effortsYou are leading the planning and execution of a new major featureYou have produced a roadmap that has buy in from your counterpartsIn twelve months:You have performed a full annual cycle of performance and growth conversations with your team membersYou have contributed to the vision for the future of the Search team and helped develop a plan to achieve that visionYou have increased the capability and velocity of your team in measurable waysYou have delivered major roadmap itemsMongoDB 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.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#J-18808-Ljbffr

📌 Engineering Manager, Search Query Platform & Availability - C$162,000 - C$225,000 A Year (Winnipeg)
🏢 MongoDB
📍 Winnipeg