MongoDB

London
5,550 Total Employees
Year Founded: 2008

MongoDB Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible

Global Office Locations

London

12th Floor 240 Blackfriars Rd, London, United Kingdom, SE1 8NW

Recently posted jobs

16 Hours AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
Big Data • Cloud • Software • Database
Leads MongoDB’s UKI enterprise growth sales organization, managing and developing Enterprise Account Executives, recruiting talent, driving pipeline and revenue performance, and expanding existing customer relationships. The role owns territory strategy, forecasting, sales methodology adoption, enterprise negotiations, and cross-functional go-to-market execution. It requires significant enterprise software sales leadership, quota-carrying experience, complex sales expertise, team coaching, business expansion success, and fluency in French. The role is based in or near London with at least three office days weekly.
2 Days AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
Big Data • Cloud • Software • Database
Leads MongoDB’s UKI Customer Success organization, managing managers and developing high-performing teams. Drives customer retention, satisfaction, expansion, and product adoption through strategic programs and data-driven execution. Partners with executive stakeholders across Sales, Product, Marketing, Support, Professional Services, and HR to align go-to-market initiatives, allocate resources, and achieve long-term business goals.
2 Days AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
Big Data • Cloud • Software • Database
Develop and improve MongoDB’s distributed query execution engine. Responsibilities include implementing execution algorithms, adding query language features, optimizing database performance, diagnosing robustness issues, writing and reviewing high-quality C++ code, testing features, fixing bugs, and collaborating with engineers. The role will eventually lead major feature development and mentor new team members.