Lead, Engineering- Search Query Platform & Availability

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 candidates who 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 unif ... (truncated, view full listing at source)