Senior Data Analyst role focused on HR and people analytics to support data-driven decision-making within MongoDB's People team. Responsibilities include analyzing HR data, developing insights, creating dashboards, and collaborating with Data Engineering and HRIS teams. Requires advanced SQL, Python/R for data wrangling, and experience with visualization tools like Tableau.

This is a sales role for MongoDB, a company that provides a database platform for the AI era. The role focuses on growing existing customer accounts and landing new workloads through outbound prospecting, managing the full sales cycle, and developing strategic territory plans. While the company is involved in AI, this specific role is not directly building or researching AI models.

This role is a Senior Manager of Strategy & Planning for Customer Success at MongoDB. The primary focus is on driving analytical rhythms, partnering with senior leadership on customer and market analyses, conceptualizing and piloting new programs, and leading business planning for CS teams. The role requires experience in sales strategy, consulting, sales operations, or analytics, with a quantitative degree and experience supervising direct reports. SQL and BI tool experience are preferred.

Senior Product Manager for Account Protection at MongoDB, focusing on enterprise security features, threat management, and data protection within regulated industries. The role involves developing product vision, roadmaps, and requirements, and partnering with engineering and other cross-functional teams to deliver security solutions.

Senior Enterprise Account Executive focused on sales strategy and revenue growth within the Government Sector. This role involves prospecting, building relationships, and closing deals for MongoDB's enterprise technology, particularly its database platform which is positioned for the AI era.

This role focuses on financial analysis, forecasting, and supporting strategic business decisions within a technology company. It involves owning forecast models, preparing executive reporting, conducting ad-hoc analyses, and partnering with leadership on investment and resourcing strategies. While the company "redefined the database for the AI era," this specific role is in strategic finance and does not involve building or directly working with AI/ML models.

Senior Software Engineer role focused on developing tools and platforms for customer observability in MongoDB Atlas, a database-as-a-service offering. Responsibilities include collecting metrics, monitoring performance, and providing actionable insights to improve database speed, efficiency, and reliability. The role involves working with large-scale distributed systems and telemetry data.

Inside Account Executive role focused on formulating and executing a sales strategy within MongoDB’s most strategic accounts, closing net new workloads and expanding MongoDB’s footprint. This role involves driving product adoption, upsells, and cross-sells by cultivating strategic relationships with executives and multi-level champions. The role requires a proven track record in B2B sales, experience selling complex SaaS/Cloud products, and the ability to articulate business value. While MongoDB is redefining the database for the AI era, this specific role is in sales, not AI development.

MongoDB Technical Services Engineer role focused on customer support, problem-solving, and deep technical expertise across the MongoDB ecosystem, including database server, drivers, and cloud services like Atlas. The role requires systems engineering, networking, and storage expertise, with a strong emphasis on customer interaction and troubleshooting complex issues. Specific requirements include US citizenship for FedRAMP compliance and flexibility in working hours and shifts.

This role is for a Director of Global Quote-to-Cash Operations in India, responsible for leading a team to deliver world-class finance and accounting services, driving process improvements, and managing operational risks within a shared services center of excellence. The role requires strong leadership, strategic thinking, and experience in finance operations and change management.

This role focuses on building and scaling the operational backbone of the MongoDB for Startups Program, involving application evaluation, process management, and cross-functional partnerships. It is an execution-focused role requiring strong analytical and operational discipline.

Software Engineer role focused on the core networking and observability components of a distributed database. Responsibilities include improving network communication, resource utilization efficiency, and building low-overhead observability features. The role involves working with C++ and distributed systems, with a focus on OpenTelemetry integration and performance testing.

Senior Software Engineer role focused on building and designing features for MongoDB Atlas, specifically within the Clusters Security team. Responsibilities include developing systems for cluster networking, data encryption, and database authentication, interfacing with cloud providers (AWS, Azure, GCP) to ensure security, durability, availability, and performance. The role involves contributing to and leading complex technical projects, working across the stack, and collaborating with various teams and customers.

IAM Security Engineer 3 at MongoDB responsible for designing, implementing, and operating identity, access, and endpoint security solutions. Focuses on IAM platforms like Okta, AWS IAM, GCP IAM, and Azure AD, automation using Terraform/Python, and supporting compliance initiatives like FedRAMP High.

This role is for a Senior Staff Engineer on the Developer Productivity team at MongoDB. The primary focus is on enhancing the software development ecosystem for thousands of engineers, ensuring high-quality product delivery. Responsibilities include identifying system-wide opportunities to accelerate developer velocity, enhancing data collection, and integrating analytics assistants for actionable insights. The role requires extensive experience in developer productivity, DevOps, CI/CD, and observability tools. While the company mentions AI and the role involves integrating AI tools, the core craft is not AI/ML model development but rather improving the developer experience.

MongoDB is seeking a Field Marketing Manager for the South Korea region to plan and execute marketing programs, particularly Account Based Marketing (ABM). This role involves close collaboration with sales, marketing, and partner teams to drive territory growth, generate leads, and expand opportunities. The position reports to the Director of North PacRim Marketing and requires a hybrid work model in Seoul.

This role is for a Senior Technical Program Manager at MongoDB, focusing on delivering critical services and features for Atlas Clusters. The role involves partnering with Engineering, Product, and Product Design stakeholders, managing technical projects, and improving processes and tools for engineering teams. While MongoDB is involved in the AI space, this specific role is not directly building or researching AI/ML models, but rather managing the delivery of technical programs within an organization that supports AI initiatives.

Seeking a Senior Analyst to support data-driven decision making for the People team, transforming HR and organizational data into actionable insights for hiring, workforce management, and effectiveness. Requires strong analytical and technical skills, ability to tell a story with data, and comfort working across functional areas.

Seeking a Senior Engineering Manager to lead a team responsible for MongoDB's Observability systems, including operational metrics, visualization, logs, traces, and alerts for customer deployments. The role involves managing a large team, contributing to the design and architecture of high-volume ingestion systems, and ensuring the reliability and performance of complex distributed systems at scale.

Software Engineer 2 on the MongoDB Developer Productivity team, focusing on the Performance Infrastructure Team. The role involves designing, building, and maintaining a performance benchmarking system and supporting tooling for MongoDB products. Responsibilities include implementing features, contributing to performance workloads, maintaining testing software, debugging issues using observability tools, participating in code reviews, and improving documentation. The role emphasizes learning and growing into owning more complex projects over time, with a focus on improving developer productivity and performance testing reliability.

Software Engineer 3 role focused on building and improving the cloud-based distributed systems for MongoDB's Atlas Search product, which handles data ingestion, index building, partitioning, performance, and availability for complex full-text and vector search queries. The role involves contributing to the design, implementation, and support of projects to enhance scalability and seamless user experience for large workloads.

Staff Engineer, Observability for MongoDB platform, focusing on designing, building, and operating internal and external observability systems for metrics, visualization, logs, traces, and alerts. The role involves scaling systems to handle massive data volumes and ensuring strict SLOs on security, durability, availability, and performance.

This role is for a Senior Customer Success Manager at MongoDB, focusing on Enterprise (G2000) accounts. The primary responsibility is to maximize customer lifetime value and success by acting as a strategic advisor, driving retention, revenue realization, and long-term advocacy. The role involves understanding customer technical environments, navigating global account teams, and collaborating with internal resources to influence product roadmaps and ensure customer success with MongoDB deployments, including those leveraging AI.

Engineering Manager for MongoDB's Observability team, responsible for leading a team that designs, builds, and operates complex distributed systems for monitoring customer MongoDB deployments. The role involves managing engineers, contributing to code and architecture, collaborating with product teams, and ensuring the reliability and performance of observability services handling massive data volumes.

MongoDB is seeking a Principal Solutions Architect to support the sales and delivery of application modernization engagements using a combination of GenAI and deterministic tools. The role involves analyzing legacy code, transforming it to modern frameworks on MongoDB, and automating modernization tasks. The Solutions Architect will facilitate technical workshops, deliver complex demonstrations, and strategize with sales teams to drive account plans. Experience with modern software development, distributed systems, and cloud platforms is required, with a preference for experience in data engineering or AI/ML projects.

Solutions Architect for MongoDB's Application Modernization Platform (AMP) team, focusing on accelerating the adoption of MongoDB by modernizing legacy applications using GenAI and deterministic tools. The role involves supporting sales and delivery of modernization engagements, including analyzing legacy code, transforming code, automated test generation, and side-by-side testing.

Software Engineer role focused on building customer-facing features for MongoDB Atlas, including AI-powered tools like a chatbot and recommendation system, and optimizing product metrics through A/B testing and data modeling.

Executive role leading global pre-sales Solutions Architecture organization, focusing on technical go-to-market strategy, influencing revenue growth, and driving adoption of AI and modernization workloads. This role partners with Sales and Product to position MongoDB as a database of choice for enterprise applications.

Team Lead for Site Reliability Engineering focusing on Fleet Management, responsible for the Kubernetes runtime environment, infrastructure, and operational functions. The role involves managing a team, developing technical vision, and contributing to architectural design, with a focus on automation and migrating from IaC to an Operator-driven model.

Product Manager for MongoDB's Security team, focusing on data security features like Networking, IAM, Data Governance, Encryption, Compliance, and Auditing. The role involves building a vision for security features, developing roadmaps, understanding threats, and partnering with various teams to enhance customer trust in enterprise and regulated environments.

Seeking a Senior Staff Engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. This role involves managing systems for metrics, visualization, logs, traces, and alerts, handling massive data volumes (billions of time series, petabytes of logs/traces) and ensuring strict SLOs on security, durability, availability, and performance. The engineer will also collaborate with other teams to promote best practices in instrumentation and monitoring.

Staff Software Engineer role focused on query optimization for a distributed document database. Responsibilities include designing, building, and innovating query optimization systems, researching state-of-the-art query systems, and contributing to the technical roadmap. Requires extensive experience in data management systems and C++.

Executive Business Partner to support the Chief Information Officer at MongoDB, a leading modern data platform company. The role involves managing requests, calendars, travel, and team events, requiring strong organizational, communication, and interpersonal skills. This position is ideal for a dynamic, intelligent, and highly-organized individual who can manage priorities, work diplomatically with various parties, and thrive in a collaborative environment.

This role focuses on building executive relationships and driving pipeline generation through Global Systems Integrator (GSI) partners to achieve aggressive pipeline growth and new customer acquisition. It involves cultivating strategic champions, developing joint offerings, and working with sales teams to meet bookings objectives. The ideal candidate has extensive quota-carrying experience, GSI partnership management, and a strong sales track record.

Enterprise Account Executive focused on new business acquisition and revenue growth within an assigned territory, selling MongoDB's database platform which is positioned for the AI era.

Software Engineer role at MongoDB, focusing on designing, building, and testing software for MongoDB products. The role involves collaborating with cross-functional teams and solving complex technical challenges. It is open to recent graduates or professionals with up to 18 months of experience, requiring a foundation in computer science theory, data structures, algorithms, and software design, with proficiency in languages like C++, Go, Ruby, Python, Java, or Javascript.

Solutions Architect role focused on pre-sales, guiding customers on designing and building systems using MongoDB's data platform. Responsibilities include customer advising, sales partnership, and demand generation, with a focus on leveraging MongoDB for various applications, including AI/ML projects and RAG architectures.

This is a Senior Commercial Growth Account Executive role focused on selling the MongoDB Atlas platform to new logos in India. The role involves full sales cycle management, outbound prospecting, and meeting sales targets. While MongoDB is positioned for the AI era and uses AI tools, this specific role is in sales and not directly building AI/ML models.

This role is for an Enterprise Account Executive focused on growing business within the Financial Services Industry. The primary responsibility is to develop and execute a sales strategy to increase revenue within an assigned territory. The role involves prospecting, building relationships with technical leaders, and collaborating with internal teams to ensure customer satisfaction. While MongoDB is innovating in the AI space, this specific role is in sales and does not involve building or deploying AI models.

Lead Software Engineer with a strong background in data streaming products, the Java ecosystem, and team leadership. Responsibilities include driving architectural decisions, mentoring engineers, and collaborating with product management to deliver a complex product suite using Java, Spring Boot, Apache Kafka, Debezium, and React.

Staff Software Engineer focused on query optimization for a distributed document database. Responsibilities include designing, building, and innovating query optimization systems, researching state-of-the-art query systems, and contributing to the technical roadmap. Requires extensive experience in data management systems and C++.

Enterprise Account Executive role focused on new business acquisition and revenue growth within an assigned territory. The role involves prospecting, building relationships with technical end-users and leaders, and partnering with internal teams to achieve customer satisfaction and maximize deal sizes. Requires 4+ years of quota-carrying sales experience and a proven track record of overachievement.

This role is for a Director of Regional Employee Experience in Gurugram, India, reporting to the Head of Regional HR, APAC. The position involves managing the Employee Experience team, serving as the primary contact for employee inquiries and concerns, overseeing performance management, employee well-being, employee relations, and compliance. The role also supports local business unit leaders and ensures adherence to employment laws and company policies. The company, MongoDB, is a database platform company that emphasizes its role in the AI era and serves AI-native startups.

Engineering Manager for MongoDB Atlas Clusters Modernization team in Dublin. This role involves leading a team to build and maintain foundational services for MongoDB Atlas, a database-as-a-service offering. Responsibilities include contributing to code, design, and architecture, working with stakeholders, managing customer issues and on-call rotations, and fostering an inclusive work environment. Requires significant software development and people management experience, with expertise in large-scale distributed backend systems and cloud provider technologies.

Software Engineer 3, Private Cloud Backup role at MongoDB, focusing on developing and maintaining large-scale, distributed backend systems for backup infrastructure. The role involves working with Java, Go, and Javascript to ensure reliable, fast, and cost-effective backup and restore capabilities for MongoDB clusters, managing hundreds of TB of data and billions of operations daily.

This is a quota-carrying Professional Services Sales role focused on scoping, negotiating, and closing Professional Services opportunities to accelerate customer adoption of MongoDB technologies. The Engagement Manager will partner with sales, professional services, and customer success teams to drive services sales, manage the pipeline, and articulate the business value of professional services.

Engineering Manager for MongoDB's Search Query Platform & Availability team, focusing on the foundational layer for Atlas Search and Vector Search. This role involves leading a new team, defining roadmaps, improving tooling for safe rollouts, owning runtime and dependencies, and resolving customer escalations. Requires experience in managing software engineers and operating complex, high-throughput, low-latency distributed systems.