This role is for a Senior Technical Program Manager focused on application modernization, helping developers transition from relational databases to MongoDB. The team builds toolkits that leverage AI to power these transitions. The TPM will own the delivery of complex, cross-functional efforts, partnering with Engineering, Product, and other teams to execute the product vision, solve technical challenges, and provide data-driven insights. While the role involves working with AI-powered tools and understanding AI/ML concepts, the core responsibility is program management and delivery, not direct AI/ML model development or research.

Senior Staff Engineer role focused on enhancing MongoDB's developer productivity ecosystem by integrating analytics assistants and leveraging AI tools to improve developer velocity and efficiency. The role involves driving operational excellence, designing development systems, and providing technical leadership within a large engineering environment.

Senior Engineering Manager for Code Generation team at MongoDB, focusing on leveraging Generative AI to transform legacy applications into modern architectures. The role involves leading a team, driving architectural decisions, and collaborating with product management to deliver a product that solves customer challenges in application transformation.

Senior Engineering Manager for a Code Generation team at MongoDB, focused on using GenAI to transform legacy applications into modern architectures. The role involves technical leadership, architectural decision-making, team mentorship, and collaboration with product management to deliver enterprise-grade AI-powered products.

Senior Software Engineer role focused on building customer-facing features for MongoDB Atlas, including AI-powered tools like a chatbot and recommendation system. The role involves leading complex projects, mentoring, and contributing to the technical direction within a cloud engineering group.

Staff Engineer to architect the platform foundation and infrastructure for an AI-powered modernization suite that operates seamlessly in client-controlled, potentially air-gapped environments. Focus on distributed systems, security, and enabling GenAI capabilities for enterprises.

This role focuses on architecting and modernizing Quote-to-Revenue processes, with a specific emphasis on integrating AI capabilities. The architect will define strategy and lead technical design for monetization platforms, including usage-based billing, and will be responsible for architecting AI-integrated enterprise systems, RAG patterns, vector search, and LLM integration with structured data pipelines. The goal is to enable AI-driven business transformation and improve operational efficiency.

Seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of the enterprise data landscape, focusing on integrating Data Lake and Data Warehouse across multi-cloud platforms. The role will enable self-service data access, natural language query, architect MDM and data lineage for AI models, and evaluate AI tools for data quality and security. Experience with RAG architectures and vector databases is a plus.

Senior Customer Success Manager role at MongoDB, focusing on maximizing customer lifetime value and success for Enterprise accounts by advising on advanced operational strategies, driving retention, revenue realization, and long-term advocacy. The role involves managing a portfolio of customers, conducting business reviews, and collaborating with internal teams to influence product roadmap and drive customer success with MongoDB's developer data platform, which supports AI initiatives.

This role is a Customer Success Manager at MongoDB, focusing on helping customers maximize their value from MongoDB's developer data platform, particularly in the context of AI-powered applications. The role involves customer advisory, account management, and internal collaboration to drive customer retention, revenue realization, and advocacy. While the company and its products are heavily involved in AI, this specific role is customer-facing and does not involve building or shipping AI models.

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's developer data platform, which is used to unleash AI.

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, retention, and revenue realization by acting as a strategic advisor and connector. The role involves understanding customer technical environments, driving account strategy, managing customer portfolios, and collaborating internally to influence product roadmaps. While the company is heavily involved in AI, this specific role is customer-facing and focused on ensuring customers successfully utilize MongoDB's platform, including its AI capabilities, rather than directly building or researching AI models.

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, retention, and revenue realization by acting as a strategic advisor and connector between customers and internal resources. The role involves understanding customer technical environments, driving account strategy, managing customer portfolios, and influencing the product roadmap. While the company works with AI innovators and mentions AI in its mission, this specific role is customer-facing and does not involve building or shipping AI models.

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's developer data platform, which is used for building AI-powered applications.

Senior Customer Success Manager for MongoDB, focusing on Enterprise accounts. Responsibilities include maximizing customer lifetime value, driving retention and revenue, advising on advanced operational strategies, conducting business reviews, managing account strategy, and collaborating with internal teams to influence product roadmap. Requires strong technical and communication skills, with experience in customer success and revenue accountability for Enterprise clients. Fluency in German is required.

Customer Success Manager for MongoDB, focusing on maximizing customer lifetime value and success for a portfolio of accounts. The role involves advising customers on best practices, managing account plans, driving retention and revenue, and collaborating with internal teams. The role leverages AI-driven tools to streamline workflows.

Customer Success Manager for MongoDB, focusing on maximizing customer lifetime value and success for a portfolio of accounts. The role involves advising customers on best practices, managing account plans, driving retention and revenue realization, and collaborating with internal teams. The role leverages AI-driven tools to streamline workflows.

Customer Success Manager role at MongoDB, focusing on maximizing customer lifetime value and success for a portfolio of accounts. The role involves advising customers on best practices, managing account plans for customer maturity and retention, and collaborating internally to amplify customer voice and inform product roadmap. The role leverages AI-driven tools to streamline workflows.

Senior Technical Program Manager to join a new team building a platform for AI applications using MongoDB. The role involves owning processes across the engineering department, ensuring smooth operations from idea to release, and working with distributed teams and early customers.

Software Engineer to join a new team focused on developing and expanding core parts of a new platform for building AI applications using MongoDB. The role involves developing cutting-edge technologies for deploying AI applications at scale, focusing on performance, scalability, and reliability of distributed systems infrastructure.

Senior Staff Engineer to provide technical direction, architecture, and implementation for a new platform enabling AI application development with MongoDB. Focus on distributed systems infrastructure for AI application deployment at scale.

This role is for a Senior Solutions Architect at MongoDB, focusing on pre-sales to guide customers in designing and building systems using MongoDB's data platform. The role involves collaborating with sales teams, advising customers on architecture and optimization, and driving technical aspects of deals. While the company is redefining the database for the AI era and mentions RAG and AI architectures, the core function of this role is pre-sales technical consulting and solution architecture, not direct AI/ML model development or research.

This role focuses on exploring, evaluating, building, and applying Generative AI tools to accelerate application modernization projects for enterprise clients. The engineer will work with customer project teams, provide feedback to R&D, contribute to tooling prototypes, and help shape the product roadmap, with a good understanding of GenAI concepts and tools.

Senior Software Engineer to build core components of a new platform for deploying AI applications at scale, focusing on distributed systems infrastructure, performance, scalability, and reliability.

Staff Engineer to provide technical direction, architecture, and implementation for a new platform enabling customers to build and deploy AI applications at scale using MongoDB. Focus on distributed systems infrastructure for AI.

Seeking an Engineering Lead in Gurugram to provide technical direction, architecture, and implement core parts of a new platform for building AI applications with MongoDB. Responsibilities include leading a team, driving architectural vision, collaborating with product teams, owning system operations, and contributing to organizational growth. Requires 8+ years in distributed systems/cloud services, 2+ years in management, and strong communication skills. Bonus for experience with Kubernetes and AI frameworks.

Software Engineer to build and optimize a vector database on top of MongoDB, focusing on the $vectorSearch aggregation operator for high-dimensional vector queries and performance at scale.

This role is for a Senior Customer Success Manager at MongoDB, focusing on enterprise 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 complex technical environments, navigating global account teams, and collaborating with internal resources to influence product roadmaps and ensure customer success with MongoDB's developer data platform, which is used for building AI-powered applications.

Staff Product Marketing Manager responsible for defining marketing strategy for critical product areas and strategic initiatives. This role requires navigating ambiguity, driving GTM strategies, influencing cross-functional teams and senior leadership, and understanding technology fundamentals to effectively market MongoDB's offerings, particularly in the context of generative AI. The role focuses on the business impact and strategic execution of product marketing, not technical implementation.

Product Manager for MongoDB Atlas, focusing on scaling capabilities for AI search and retrieval, application development, and multi-cloud database services. The role involves defining strategy, collaborating with engineering, and understanding customer needs to ensure seamless scaling of database deployments.

Senior Developer Advocate role focused on engaging SMB customers to accelerate their success on MongoDB Atlas, create resources, and collaborate with a global team. The role involves empowering developers to integrate advanced data capabilities, including Vector Search and Voyage AI, into their applications. Responsibilities include developing expertise in MongoDB features, delivering workshops and webinars, creating technical content, and communicating insights from developer engagement.

Senior Customer Success Manager role at MongoDB, focusing on managing enterprise accounts, driving customer lifetime value, retention, and revenue realization. The role involves advising customers on advanced operational strategies, conducting business reviews, managing account strategy, and collaborating with internal teams to influence product roadmap and ensure customer success with MongoDB's developer data platform, which supports AI initiatives.

Staff Technical Program Manager to drive technology initiatives supporting Sales, Marketing, and deal strategy with a strong emphasis on high-impact Cross functional GTM and AI initiatives. The team partners closely with Go-to-Market leaders to enable revenue growth, improve seller and marketer productivity, and accelerate deal execution through scalable, data-driven solutions.

This role is for a Senior Customer Success Manager at MongoDB, focusing on enterprise 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's developer data platform, which is used for building AI-powered applications.

Senior Software Engineer to build the next-generation inference platform for embedding models used in semantic search and AI-native experiences within MongoDB Atlas. The role focuses on core systems and services for real-time, low-latency, high-scale inference, collaborating with ML researchers and engineers.

This role is for a Senior Product Security Engineer at MongoDB, focusing on securing their database products which are used for AI/ML applications. The role involves taking ownership of security initiatives, driving strategy, performing security assessments, and partnering with engineering teams to implement security controls. While the company is transforming industries with AI/ML and the database is positioned for the AI era, the core function of this role is product security engineering, not direct AI/ML model development or research.

This role focuses on defining and delivering internal data products, including datasets, reports, APIs, and ML models, to empower Product and Technology teams at MongoDB. The goal is to drive data-driven decisions, enable AI agents, and improve product telemetry and customer insights. The role emphasizes data-as-a-product strategy, stakeholder collaboration, and agile product management within a modern data architecture.

This role is for a Senior Manager of Technical Services Engineering at MongoDB. The primary focus is on leading regional teams of Support Engineers who troubleshoot issues related to MongoDB's core database functionality and cloud services. While the role requires an understanding of how AI systems interact with data platforms and how AI can enhance team operations, the core responsibility is managing technical support and customer-facing engineering teams, not directly building or researching AI models. The role emphasizes operational excellence, people management, and deep technical knowledge of database technologies.

This role is a Senior Pre-Sales Solutions Architect at MongoDB, focusing on guiding customers to design and build systems using MongoDB's data platform. While the role involves understanding and advising on AI/ML projects and RAG architectures, its core function is pre-sales technical consulting and customer success within the broader MongoDB ecosystem, not direct AI/ML model development or deployment.

This role focuses on exploring and applying Generative AI technologies to accelerate application modernization projects for enterprise clients. The engineer will evaluate, build, and apply AI tools, provide feedback to R&D, contribute to tooling prototypes, and help shape the product roadmap. The role involves working with customers on modernization initiatives, executing Proofs of Concept (POCs), and potentially developing or extending tools for customer success and product integration. A good understanding of Generative AI concepts and experience building AI tools is required, with a strong interest in AI-supported toolchains for application development.

Senior Product Manager for Python Developer Experience at MongoDB. This role focuses on defining the strategy and roadmap for MongoDB's Python driver, integrations, and tooling, ensuring a seamless experience for Python developers and data scientists. The role involves understanding developer pain points, collaborating with engineering, and staying ahead of trends in the Python ecosystem. While not directly building AI models, the role requires experience with AI development concepts and tools like Langchain, Langgraph, and LlamaIndex, as well as ML/DS concepts, to inform product strategy for AI solutions.

Senior Product Manager for Python Developer Experience at MongoDB. This role focuses on defining the strategy and roadmap for MongoDB's Python driver, integrations, and tooling, ensuring a seamless experience for Python developers and data scientists. The role involves understanding developer pain points, collaborating with engineering, and staying ahead of trends in the Python ecosystem, with a specific emphasis on AI development tools and frameworks.

This role is a Senior Solutions Architect (Pre-Sales) at MongoDB, focusing on helping customers design and build scalable systems using MongoDB's data platform. The role involves customer advising, sales partnership, demand generation, and fostering customer relationships. While the company is redefining the database for the AI era and mentions RAG and AI architectures, the core function of this role is pre-sales technical consulting and solution architecture, not direct AI/ML model development or research.

This role is a Senior Solutions Architect for MongoDB, focusing on pre-sales and customer success. The architect will guide customers in designing and building scalable systems using MongoDB's data platform, acting as a trusted advisor to enterprises. While the role involves understanding and advising on AI/ML projects and RAG architectures, its core function is not building AI models but rather enabling customers to leverage MongoDB for their broader data and AI initiatives.

This Staff Engineer role on the Search Systems team at MongoDB focuses on building the core infrastructure for MongoDB Search and Vector Search. The role involves defining the architecture for a self-contained search system, integrating AI-native capabilities, and leading the evolution of the core database infrastructure. The position requires deep experience in data management systems and distributed infrastructure, with a focus on operational architecture and scale-first thinking.

Senior Business Analyst role focused on analyzing Technical Services business processes, pricing, and deal structures to drive insights and support business scaling. The role involves architecting data pipelines, defining reporting needs, and creating dashboards, with a stated interest in leveraging AI technologies.

Principal Technologist role focused on driving adoption of MongoDB, particularly for modernizing legacy applications and building GenAI applications, by engaging senior technical leadership at strategic customers. Responsibilities include technical engagements, education, gathering customer feedback, and representing MongoDB at industry events. Requires extensive experience in technical consulting, database solutions (especially MongoDB), enterprise project ownership, and strong communication skills.

This role is a Senior Solutions Architect at MongoDB, focusing on pre-sales and customer success. The primary responsibility is to guide customers in designing and building scalable systems using MongoDB's data platform. While the role involves understanding and advising on modern architecture, including RAG and AI architectures, its core function is not directly building AI models or systems, but rather enabling customers to leverage MongoDB for their broader technology needs, which may include AI applications.