Partner with enterprise customers to modernize applications and databases, optimize performance, and build AI-powered features using LLMs and Generative AI frameworks. Apply modern engineering practices to accelerate AI adoption and share customer implementation insights to influence MongoDB’s product and engineering roadmap.
The Engagement Manager is responsible for scoping, negotiating, and closing professional services opportunities to drive the adoption of MongoDB technologies. They will work cross-functionally to develop account strategies and ensure successful project delivery by transitioning expectations to the delivery team.
Lead product strategy and execution for Atlas Infinite, aligning engineering and partner teams on roadmap priorities, preview-to-GA readiness, customer experience, and cross-team trade-offs. Discover and validate new opportunities, address systemic product issues, guide go-to-market efforts, communicate portfolio outcomes to executives, and mentor product managers.
Lead the product vision and multi-year strategy for Atlas Infinite, discovering customer opportunities and guiding cross-team execution, preview-to-GA readiness, and product health. Use customer and workload evidence to shape roadmaps, align executives and go-to-market teams, improve shared product practices, and mentor product managers.
The Principal Security Engineer will serve as a senior technical anchor, focusing on deep architecture problems and evaluating security risks across compute, network, and storage. They will lead cross-functional engagements like M&A due diligence and foster a community of senior technical talent within the organization.
The Senior Manager will lead global software category strategic initiatives and manage a team of procurement analysts to ensure vendor compliance. They will also develop and execute a software category management strategy while driving supplier negotiations and cost optimization.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, robustness, and language capabilities. Write and review high-quality C++ code, test and support new functionality, and collaborate with peers on technical solutions.
Develop and maintain MongoDB query execution algorithms and features, contributing high-quality C++ code to improve query performance, reliability, robustness, and diagnostics. Collaborate with peers through design, testing, code reviews, and support for new functionality and integrations.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, robustness, diagnostics, and integrations. Contribute high-quality C++ code, review code, collaborate with peers, and support new functionality and bug fixes.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, robustness, and diagnostics. Write and review high-quality C++ code, support new functionality, fix bugs, and collaborate with and mentor engineering peers.
Develop and maintain MongoDB query execution algorithms and features, contributing high-quality C++ code to improve query performance, reliability, and robustness. Design, implement, test, and support query language enhancements, performance diagnostics, and integrations while collaborating with peers through code reviews.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, robustness, and language capabilities. Write and test high-quality C++ code, diagnose and fix issues, support integrations with other products and tools, and collaborate through code reviews and technical delivery.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, and robustness. Design, implement, test, and support enhancements to the query language and performance diagnostics, while collaborating with peers through code reviews.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, and robustness. Write and review high-quality C++ code, support new functionality and diagnostics, and collaborate with peers on technical solutions.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, reliability, robustness, and language capabilities. Write and review high-quality C++ code, diagnose and fix issues, support integrations with other products and tools, and collaborate with peers on technical solutions.
Develop and maintain MongoDB query execution algorithms and features, improving query performance, robustness, diagnostics, and integration with other products and tools. Contribute high-quality C++ code, participate in code reviews, support releases, and collaborate with and mentor teammates.
The role involves hardening containerized workloads and building automated security infrastructure across multi-cloud environments. You will develop security guardrails, manage vulnerability and access controls, and implement real-time monitoring systems to ensure platform reliability.
You will harden containerized workloads and build automated security infrastructure across multi-cloud environments. Additionally, you will develop real-time monitoring and alerting systems to ensure the security posture of the MongoDB Atlas platform.
Develop automated guardrails and platform capabilities to integrate security directly into runtime, CI/CD, and IaC workflows. Lead initiatives across their full lifecycle, including threat modeling, architectural design, and the implementation of security monitoring and alerting systems.
Lead and mentor a distributed team of support engineers while spending 50% of time hands-on with complex customer escalations and technical investigations. Drive service quality by managing queue health, coordinating cross-functional incident responses, and implementing process improvements.
You will design scalable MongoDB-based architectures and guide customers on optimization strategies to ensure successful deployments. Additionally, you will partner with sales teams to drive account success through technical discovery, demonstrations, and value articulation.
Design systems and architectures using the MongoDB Atlas Data Platform to drive customer success and software development projects. Act as a technical advisor and product specialist for Atlas Search, assisting in complex deal cycles and providing feedback to the product management team.
You will design and build a world-class distributed query optimizer for the MongoDB database while leading architectural strategy and execution. You will also collaborate with cross-functional teams to enhance query performance, robustness, and language features.
Manage the full recruitment lifecycle for People and Finance functions while partnering with hiring managers to drive search strategy. Proactively identify top talent using advanced sourcing techniques and maintain a high-touch candidate experience throughout the process.
The Engagement Manager is responsible for scoping, negotiating, and closing professional services opportunities to drive MongoDB adoption. They will lead cross-functional efforts to develop account strategies and manage the professional services pipeline for their region.
Design and build distributed database infrastructure for data partitioning, data movement, and dynamic scaling, enabling clusters to scale reliably with minimal disruption. Solve complex performance challenges and develop protocols for placing and moving data while contributing to feature development, design reviews, code reviews, and team mentorship.
You will design and build distributed machinery for data partitioning and dynamic scaling to unify independent nodes into a single database system. Your work involves solving complex performance problems and developing protocols for seamless data movement and cluster elasticity.
The Director of Strategic Events will define and execute the global events strategy, including flagship conferences and partner activations, to drive pipeline and revenue. They will lead a global team, integrate AI-native workflows, and manage multi-million-dollar budgets while collaborating with cross-functional executive stakeholders.
You will embed with ISV engineering teams to design and build MongoDB-backed product capabilities, including integrations, data models, and migration solutions. Additionally, you will enable partner engineers through collaborative development, code reviews, and knowledge sharing to ensure production-ready implementations.
The Vice President of Global Communications will lead the company's narrative and communications strategy, partnering with senior leadership to influence market perception. This role involves managing global teams across corporate, product, and analyst relations while shaping the company's presence in an AI-mediated world.
You will design, architect, and build core components of the Identity and Access Management platform while leading projects from specification to delivery. Additionally, you will mentor team members and define technical priorities to ensure secure and scalable user experiences.
Develop and write high-quality, skill-based course materials and hands-on activities for MongoDB University. Collaborate with subject-matter experts and product teams to create technical content, including code, visualizations, and certification assessments.
Lead and grow a team of engineers to manage the core transactional read/write path and storage infrastructure for MongoDB. Partner with cross-functional teams to drive roadmaps for durability, performance, and availability while managing customer escalations.
Lead and grow a team of engineers to manage core storage infrastructure, ensuring high performance, durability, and availability for mission-critical workloads. Partner with cross-functional teams to drive technical roadmaps, resolve customer escalations, and improve engineering velocity.
The Principal Application Engineer will lead the modernization of legacy Java applications to cloud-based architectures using MongoDB and GenAI tools. They will shape technical strategy, mentor engineering teams, and serve as a senior technical partner to enterprise customers.
Lead end-to-end data migration engagements for enterprise customers, including assessment, strategy, pipeline design, and production cutover. Partner with internal teams to scope opportunities, build migration playbooks, and develop AI-driven tooling to enhance delivery efficiency.
The Project Manager is responsible for planning and executing complex enterprise-scale software projects while ensuring they meet scope, budget, and quality standards. They will also manage stakeholder expectations, lead project meetings, and contribute to the continuous improvement of delivery methodologies.
The Senior Solutions Architect will design scalable systems using the MongoDB data platform and guide customers through complex architectural challenges. They will also partner with sales teams to drive account strategy, conduct technical discovery, and deliver product demonstrations to ensure customer success.
The Solutions Architect will design and implement scalable technical solutions to meet complex business requirements. They will act as a bridge between technical teams and customers to ensure successful project delivery and architectural alignment.
The Senior Product Manager will define the multi-year vision and roadmap for the Client Libraries portfolio, including drivers, ODMs, and framework integrations. They will lead cross-functional execution, manage high-stakes customer engagements, and mentor junior team members to drive product strategy.
You will contribute to customer implementations across the application lifecycle, including planning, design, deployment, and optimization. Additionally, you will deliver classroom-based training and act as a trusted advisor to influence the MongoDB product roadmap.
Drive the long-term technical vision for MongoDB Search by anticipating market needs for AI-native applications and vector search. Partner with engineering leadership to translate complex technical tradeoffs into business value while ensuring operational excellence and system resilience.
You will design scalable MongoDB-based applications and provide architectural guidance to customers to ensure their success. Additionally, you will partner with sales teams to drive account strategy, conduct technical discovery, and deliver compelling product demonstrations.
The Senior Manager will lead the execution and stewardship of the visual brand across high-impact experiences, campaigns, and events. They will develop scalable visual systems and maintain brand enablement resources to ensure consistent application across the organization.
You will contribute to customer implementations across the application lifecycle, including planning, design, deployment, and optimization. Additionally, you will deliver classroom-based training and act as a trusted advisor to help customers achieve their goals with MongoDB.
Own the strategy and roadmap for key Atlas components to ensure a frictionless user experience while driving collaboration across engineering, marketing, and sales. Lead the team in making data-driven product decisions through deep engagement with customers and internal stakeholders.
Lead pricing and packaging strategies for new and existing products while building complex financial models to quantify business impact. Partner with cross-functional teams including Finance, Engineering, and Product Management to execute cohesive strategies and drive revenue growth.
The engineer will build and maintain tools for MongoDB Atlas, focusing on APIs and customer-facing UIs for data interaction and performance monitoring. They will work across the full stack to solve complex problems in a distributed environment.
You will contribute to customer implementations across the application lifecycle, including planning, design, deployment, and optimization. Additionally, you will deliver classroom-based training and act as a trusted advisor to guide customers in their MongoDB adoption.
Own the end-to-end strategy, architecture, and governance of MongoDB's global partner programs across multiple categories including Technology, Services, and Cloud partners. Manage a team of Program Managers to oversee tiering, incentives, certifications, and operational automation to drive partner engagement and revenue.
Design and architect scalable systems using MongoDB while guiding customers on architecture patterns and business value. Partner with sales teams to drive account success through technical discovery, demos, and pipeline generation.
Design and architect scalable applications and infrastructure using MongoDB while guiding customers on optimization strategies. Partner with sales teams to drive account success through technical discovery, demos, and proof of value.
Lead the global corporate FP&A team by managing forecasting, planning processes, and financial model automation. Develop high-level management reporting for senior executives and the Board of Directors while mentoring a team of analysts.
Lead the global corporate FP&A team by managing the forecasting process, financial models, and planning systems. Develop management reporting for senior leadership and the Board of Directors while mentoring a team of analysts.
Develop and iterate on customer-facing features for the Atlas Growth group using an in-house experiments platform. Lead small engineering groups and collaborate with cross-functional squads to drive key metrics like retention.
Design and architect scalable, performant applications using MongoDB while guiding customers on optimization strategies. Partner with sales teams to drive account success through technical discovery, demos, and proof of value.
Design and architect scalable, performant applications and infrastructure using MongoDB to solve complex business problems for customers. Partner with sales teams to drive account success through technical discovery, demos, and proof of value delivery.
Develop and maintain a high-performing, modular distributed query system for MongoDB. This includes implementing execution algorithms, enhancing query language features, and tuning database performance.
The role focuses on formulating and executing sales strategies to drive revenue growth and acquire new enterprise customers. Key activities include identifying and closing a sales pipeline while partnering with Solution Architects and channel partners.
Design, implement, and support product features for the MongoDB Atlas API Platform and developer tools like the Atlas CLI. You will build software integration components and assist customers in solving technical problems through a Level 2 support rotation.
Design and maintain continuous delivery infrastructure using Argo Workflows and ArgoCD to ensure reliable code deployment. Collaborate with Platform Engineering to streamline service onboarding and participate in a 24/7 on-call rotation.
Design and maintain continuous delivery infrastructure using Argo Workflows and ArgoCD to ensure reliable code deployment. Collaborate with Platform Engineering to streamline service onboarding and participate in a 24/7 on-call rotation.
Conduct cutting-edge research on frontier LLMs, embedding models, and rerankers to improve unstructured data search. Innovate within the LLM agent paradigm and collaborate with research engineers to deploy models into production.
Design, build, and maintain secure, scalable Salesforce solutions across various business workflows while ensuring compliance with FedRAMP and government standards. The role involves developing integrations, performing technical design reviews, and optimizing platform performance.
Drive program planning and execution to scale the platform underpinning MongoDB's cloud products while strengthening production reliability practices. Coordinate cross-functional efforts across US and EMEA teams to improve launch readiness and operationalize reliability metrics.
Design and build the core execution engine for a distributed document database, focusing on physical operators and runtime efficiency. Define the long-term technical roadmap for query execution and mentor team members to grow technical talent.
Own Finance-focused data products end-to-end, including the development of pipelines, datasets, and dashboards for planning and performance analysis. Collaborate with cross-functional teams to translate finance workflows into technical requirements and manage the product backlog.
You will work on multi-tenant distributed storage systems to ensure reliability, durability, and operational safety. This includes participating in a 24/7 on-call rotation and optimizing infrastructure performance from the application level to the kernel.
You will work on multi-tenant distributed storage systems to ensure reliability, durability, and operational safety for the MongoDB Atlas platform. Responsibilities include building resilient infrastructure, monitoring service health, and participating in a 24/7 on-call rotation.
Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB. Provide internal support for the Kubernetes ecosystem, partnering with engineering teams to solve domain-specific problems.
The primary focus is formulating and executing a sales strategy within an assigned territory to drive revenue growth and acquire new customers. Responsibilities include proactively identifying, qualifying, and closing sales opportunities while building strong relationships with technical leaders and end users.
The Senior Software Engineer will evaluate, build, and apply tools in modernization projects, facilitating their usage across different project teams. They will also work closely with Product and Engineering teams to influence the MongoDB product roadmap.
This pivotal role is responsible for driving the adoption of MongoDB among strategic customers by engaging senior technical leadership to position MongoDB for modernizing legacy applications and building GenAI applications. Key duties include influencing decision-makers at Fortune 1000 companies, developing technical engagements aligned with Sales, and gathering customer feedback to influence the product roadmap.
Design and architect scalable applications and systems using MongoDB. Collaborate with the sales team to drive account success and ensure customer satisfaction.
