Director of Engineering, Query Optimization

As the Director of Engineering for the MongoDB Query Optimization team, you will be responsible for leading the development of a world-class, open-source, general-purpose query engine designed for the document model. The distributed architecture of MongoDB and flexible schema open up an uncharted realm of captivating questions about query languages, cost-based optimization, schema inference, data federation, and many more. The Query Optimization team plays a crucial role in driving the vision, experience, and architecture of data processing for the entire organization. As a director-level manager, you will directly manage a team of engineering managers and staff-level engineers. Although this is a people-management role, you must be able to zoom in to weigh-in on deeply technical decisions in the query processing domain. Our global team is continuously expanding its charter and attracting the best query engineers working remotely or from hubs such as New York City, Dublin, Seattle, and Palo Alto. You will lead and grow a high-performing, diverse team and run large, cutting-edge initiatives. We are on a mission to write a new chapter in data processing and forever change how users think about supporting a variety of their workloads. We need your help to lead this journey! ​​This role can be based out of our Dublin office or remotely in the Republic of Ireland. Relocation assistance is provided. Candidate Profile At least 5 years of experience in a management position, including experience mentoring other engineering managers Proven success building, mentoring, and growing strong geographically-distributed software engineering teams High emotional intelligence and a commitment to building a culturally diverse and inclusive organization Excellent verbal and written technical communication skills Extensive experience collaborating across organization boundaries Excellent time management skills and the ability to make complex project decisions quickly Proven success in designing, writing, testing, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases. C/C++ knowledge is a plus At least 10 years of experience in programming and system design with a strong grip on the foundational material of computer science Professional or advanced academic expertise in the domains of query planning, optimization, and execution along with a deep understanding of systems programming, many-core architectures, and distributed data processing Position Expectations You will: Collaborate with Product Management and technical senior leadership to design, develop, and ship a groundbreaking, multi-model, distributed query engine Ensure smooth and timely execution of projects while collaborating and providing visibility to all stakeholders Appropriately allocate team resources, balancing efforts between building new features and supporting previous releases Grow your organization while ensuring desirable skill composition, high job satisfaction, and vibrant culture Delegate effectively by splitting your own time between technical and management aspects of the position Partner closely with other RD departments, including peer Engineering teams, Program Management, and Product Management to ensure alignment and execution Set high standards when evaluating the performance of your team Exemplify MongoDB’s values and leadership principles Up to four weeks per year of travel is expected to meet with remote team members and attend team events Success Measures In three months you will: Gain an understanding of the Query team's product offerings and technical architecture, as well as the team's strengths and areas for improvement Establish relationships with key stakeholders across engineering, including other Query Engineering Directors and Product Management Integrate with the company culture and become familiar with the team's processes and workflows In six months you will: Gain a ... (truncated, view full listing at source)