Jobs at MongoDB

Optimize customer production architectures and guide resilient, scalable, cloud-native application designs. Investigate database and distributed-system performance, evaluate architectural trade-offs, and recommend improvements across applications, APIs, infrastructure, security, and operations. Lead technical discovery with developers, architects, and engineering leaders, while advising on modernization and AI application patterns including Vector Search, RAG, and intelligent agents. Build trusted relationships and influence technical decisions across EMEA customers.

Own the product vision, strategy, and execution for MongoDB Atlas Infinite, a distributed cloud database platform. Lead cross-team decisions spanning compute, storage, migration, interoperability, readiness, customer experience, monetization, and adoption. Discover new customer opportunities, guide preview-to-GA progress, establish research and execution standards, resolve complex product issues, align executives and go-to-market teams, and mentor product managers.

Leads product strategy and execution for MongoDB Atlas Infinite, a disaggregated compute and storage platform. Owns customer experience, adoption, monetization, retention, roadmap discovery, GA readiness, and cross-team trade-offs. Partners with engineering, marketing, sales, support, and executives to validate workloads, resolve systemic product issues, develop multi-year bets, and align technical and commercial priorities. Mentors product managers and establishes consistent research, launch, and decision-making practices across the portfolio.

Supports global Technical Services operations by managing workforce schedules, on-call coverage, incident workflows, customer access requests, KPI reporting, dashboards, SOPs, and cross-region handoffs. The role identifies operational bottlenecks, builds automation with Google Apps Script and AI tools, coordinates policy and product-release communications, and partners with technical support leadership to improve efficiency and customer service across a 24x7x365 support organization.

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.

Lead MongoDB’s first dedicated Global Security Operations team in India, hiring and developing a 20-person organization across vulnerability management, launch readiness, and enterprise security. Establish operating rhythms, tooling, documentation, and matrix-reporting practices while coordinating with global stakeholders. Drive team performance, culture, delivery accountability, and leadership development across US, EMEA, and India. The role will eventually transition from team-building to direct ownership of vulnerability management, workflow automation, and enterprise security outcomes.

Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.

Advises enterprise MongoDB customers on complex technical deployments, driving adoption, retention, revenue realization, advocacy, and long-term business outcomes. Manages strategic account portfolios, leads business reviews, forecasts customer health, coordinates cross-functional resources, and identifies expansion opportunities. Builds senior stakeholder relationships, influences product strategy through customer insights, mentors teammates, supports hiring and onboarding, and applies AI fluency to improve customer engagement and operational efficiency.

Manage scaled digital customer success for high-volume, low-to-mid-tier accounts in an assigned region. Use AI, automation, data, dashboards, digital outreach, workshops, webinars, and health-score triggers to drive onboarding, retention, adoption, and churn mitigation. Serve as a regional escalation point, partner with sales and account teams, analyze customer trends, and develop digital-first programs that improve customer outcomes.

Manage a portfolio of enterprise and high-tech customers using MongoDB. Advise customers on deployment health, operational best practices, business outcomes, and success planning. Lead business reviews, monitor customer health, retention, revenue realization, and expansion opportunities. Coordinate with Sales, Product, Services, Support, Training, Marketing, and executive stakeholders. Maintain accurate account data, forecast outcomes, advocate for customers internally, and use AI tools to improve customer success operations.

Lead end-to-end security incident investigations across corporate and cloud environments, from triage through remediation and postmortems. Analyze SIEM, endpoint, cloud, and SaaS data; investigate credential exposure, phishing, data exposure, and policy violations; automate response workflows; maintain playbooks; communicate with stakeholders; mentor junior analysts; and improve investigative standards.

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.

Leads global software procurement strategy, category management, supplier negotiations, renewals, sourcing initiatives, compliance, and cost optimization. Manages procurement analysts, builds stakeholder partnerships across Finance, Legal, IT, Security, and business teams, and develops software spend insights, sourcing pipelines, and supplier performance programs. Requires strong project management, communication, negotiation, analytical, and people leadership skills while collaborating with global teams across time zones.

Develop and maintain MongoDB’s distributed query execution engine. Responsibilities include implementing execution algorithms, adding query language features, improving database performance and robustness, developing diagnostics, writing and reviewing high-quality C++ code, testing, troubleshooting, and collaborating on complex software solutions.

Develop and maintain MongoDB’s distributed query execution engine. Responsibilities include implementing execution algorithms, building query language features, improving database performance and robustness, creating diagnostics, writing and testing high-quality C++ code, reviewing code, supporting releases, and mentoring engineers. The role requires strong systems programming, software architecture, algorithms, and data structures expertise, with database or query engine experience beneficial.

Develop and improve MongoDB’s distributed query execution engine. Responsibilities include implementing execution algorithms, developing query language features, optimizing database performance, diagnosing query issues, writing and reviewing high-quality C++ code, testing features, and supporting large-scale software. The engineer will collaborate with peers, deliver complex functionality, lead major feature development, and mentor newer engineers.

Develop and maintain MongoDB’s distributed query execution system. Responsibilities include implementing execution algorithms, building query language features, improving database performance and robustness, diagnosing query issues, integrating tools, writing high-quality C++ code, reviewing code, testing, and supporting complex functionality. The role also involves collaborating with engineers and mentoring team members.

Develop and maintain MongoDB’s high-performance distributed query engine. Responsibilities include implementing execution algorithms, building query language features, improving database performance and robustness, diagnosing query issues, writing and reviewing C++ code, testing features, and collaborating with engineers on complex technical solutions.

Develop and maintain MongoDB’s distributed query execution engine. Responsibilities include writing high-quality C++ code, implementing query execution algorithms and language features, improving performance and robustness, diagnosing query issues, testing, code reviews, and supporting large-scale software. The engineer will collaborate with peers, independently deliver complex functionality, lead major features, and mentor newer engineers.

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.