MongoDB

Senior Customer Success Manager for MongoDB, focusing on enterprise accounts to maximize customer lifetime value and success. The role involves advising customers on advanced operational strategies, managing account portfolios, driving retention and revenue, and collaborating internally to influence product roadmaps. Requires strong technical and business acumen, with experience in customer-facing technical roles and accountability for customer health and revenue.

This role leads AI and horizontal platform programs within GTM Operations, focusing on making the global GTM organization more productive, scalable, and AI-enabled. It involves defining use cases, driving cross-functional programs, ensuring adoption of new capabilities, and acting as a GTM process engineer to redesign workflows and apply AI/automation. The role also focuses on AI tool adoption, intake, evaluation, scaling, and upskilling the organization in AI fluency.

This role is for a Strategic Customer Success Manager at MongoDB, focusing on helping large enterprise clients maximize their value from MongoDB's platform, particularly in the context of modernizing workloads and enabling AI initiatives. The role involves technical and business advisory, account management, and internal collaboration to drive customer retention, consumption, and advocacy. While the company and its customers are heavily involved in AI, this specific role is customer-facing and consultative, not directly building AI models or infrastructure.

Senior Product Manager to own a core area of MongoDB's AI application platform, focusing on strategy, roadmap, and delivery. The role involves deep customer engagement, cross-functional collaboration, and defining success metrics for AI application development on MongoDB, including agentic workflows, RAG, and evaluation.

This role supports the sales and delivery of application modernization engagements using a combination of GenAI tools and deterministic methods. The primary focus is on helping customers migrate legacy applications to MongoDB, involving code transformation, automated test generation, and side-by-side testing. The role requires a Solutions Architect with strong pre-sales and technical skills in software development, distributed systems, and customer-facing interactions.

Product Manager for Developer Experience at MongoDB, focusing on evolving developer tools to incorporate AI and agentic-driven development, enhancing existing tools with AI experiences, and exploring new AI technologies for working with MongoDB.

Solutions Architect role focused on pre-sales technical alignment and guiding customers in designing and building scalable systems using MongoDB's data platform, with a focus on modern architectures including RAG and Generative AI.

Solutions Architect role focused on pre-sales technical alignment with MongoDB's data platform and customer needs, including guiding customers on architecture, value articulation, and supporting sales cycles. The role involves understanding and advising on modern architecture designs, including RAG and AI architectures, and working with customers on their generative AI journey.

Solutions Architect role focused on pre-sales technical alignment and customer success for MongoDB's data platform, including its AI/ML capabilities and RAG architectures. This role involves designing scalable systems, advising customers on architecture, and partnering with sales to win deals.

This role is for a Senior Customer Success Manager at MongoDB, focusing on managing enterprise accounts and ensuring customers achieve their business goals using MongoDB's platform, including its AI capabilities. The role involves advising on advanced operational strategies, conducting business reviews, managing customer portfolios for retention and revenue realization, and collaborating internally to influence product roadmaps. While the role mentions 'AI fluency' and the company's focus on AI, the core responsibilities are customer success and account management, not direct AI/ML development.

Solutions Architect role focused on pre-sales technical alignment, guiding customers to design and build scalable systems using MongoDB's data platform, including generative AI and RAG architectures. The role involves customer advising, sales partnership, and demand generation.

Staff Product Manager for Internal AI at MongoDB, focusing on strategy, delivery, and adoption of AI solutions within the enterprise IT landscape. Requires experience in managing AI/ML products at scale and integrating with IT systems.

This role focuses on building and scaling strategic partnerships with AI infrastructure providers to integrate them with MongoDB's database platform. The goal is to make MongoDB the default data layer for AI applications and agentic workflows, driving technical and go-to-market collaborations.

This role is a Senior Solutions Architect (Pre-Sales) at MongoDB, focusing on guiding customers to design and build scalable systems using MongoDB's data platform. The role involves technical sales, customer advising, sales partnership, and demand generation, with a focus on modern architecture and potentially AI/ML projects. The primary output is customer success and deal closure, not direct AI model development.

This role is for a Customer Success Manager at MongoDB, focusing on French-speaking clients. The primary responsibility is to maximize customer lifetime value and success by acting as a trusted advisor, driving retention, revenue realization, and advocacy. The role involves understanding customer needs, guiding them on MongoDB deployments, conducting business reviews, managing account plans, and collaborating with internal teams. While the company leverages AI and mentions AI-driven tools, the core function of this role is customer success and account management, not direct AI/ML development or research.

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

This role is a Customer Success Manager at MongoDB, focusing on helping enterprise clients maximize their value from MongoDB's database platform, particularly in the context of building AI-powered applications. The role involves customer advisory, account management, and internal collaboration to drive customer retention, revenue, and advocacy. While the company is heavily involved in AI and uses AI-driven tools, the core function of this role is customer success and relationship management, not direct AI/ML development.

This role is for a Customer Success Manager at MongoDB, a company that provides a developer data platform enabling organizations to build, scale, and run modern applications, including AI-powered ones. The CSM will act as a trusted advisor to customers, maximizing their lifetime value and success by ensuring they achieve their business goals with MongoDB. Responsibilities include customer advisory, account and portfolio management, and internal collaboration. The role requires experience in technical customer-facing roles, accountability for customer health and revenue, and strong communication skills. While the company is heavily involved in AI and uses AI-driven tools, this specific role is customer-facing and not directly involved in building or researching AI models.

This role is a Customer Success Manager at MongoDB, focusing on helping enterprise clients maximize their value from MongoDB's database platform, which is used to build AI-powered applications. The role involves advising customers on best practices, managing their accounts, driving retention and revenue, and collaborating internally to improve the product. While the company and its clients are heavily involved in AI, this specific role is customer-facing and does not involve building or shipping AI models.

Customer Success Manager role at MongoDB, focusing on maximizing customer lifetime value and success for a portfolio of accounts. The role involves acting as a trusted advisor, driving customer retention, revenue realization, and advocacy by understanding customer needs and connecting them with resources. Responsibilities include customer advisory, account management, and internal collaboration to amplify customer voice and inform product roadmap. The role leverages AI-driven tools to streamline workflows.

Customer Success Manager at MongoDB, focusing on maximizing customer lifetime value, retention, and advocacy for a portfolio of accounts. The role involves advising customers on best practices, managing account plans, tracking business outcomes, and collaborating with internal teams. Experience with technical customer-facing roles and accountability for customer health and revenue is required. The role leverages AI-driven tools to streamline workflows.

Director of Product Management for MongoDB's Developer Experience, focusing on tools, libraries, and frameworks, including those supporting AI development. The role involves defining product strategy, leading a team, collaborating with engineering and design, and championing AI capabilities for developers building with and building AI applications.

Senior Director of Data Product Management to own the vision, strategy, and execution of MongoDB's internal data product portfolio, focusing initially on Go-to-Market (GTM) functions. This role involves leading a team of Product Managers and partnering with various data teams to deliver data products like pipelines, datasets, dashboards, APIs, ML models, and self-serve frameworks that support analytics, AI, and business decision-making. The goal is to build a Data-Driven Enterprise with trusted data assets and AI-ready infrastructure.

This role is a Pre-Sales Solutions Architect for MongoDB, focusing on helping customers design and build scalable systems using MongoDB's data platform. The role involves technical sales, customer advising, and collaboration with sales teams to win deals and drive business forward. While the role touches on AI architectures and RAG, its core function is not building AI models but rather enabling customers to leverage MongoDB's platform, which is positioned for the AI era.

This role is a Pre-Sales Solutions Architect for MongoDB, focusing on helping customers design and build scalable systems using MongoDB's data platform. The role involves technical sales, customer advising, and collaboration with sales teams to win deals and drive business forward. While the role touches on AI architectures and RAG, its core function is not building AI models but rather enabling customers to leverage MongoDB's platform, which is positioned for the AI era.

Senior Product Manager for IT Go-to-Market organization, owning internal technology products supporting Sales, Marketing, and Revenue Operations. Focus on CRM, lead-to-quote, sales productivity, and marketing automation. Requires 10+ years of PM experience, familiarity with GTM systems, and experience with AI-enabled GTM workflows.

Customer Success Manager for MongoDB, focusing on maximizing customer lifetime value, retention, and advocacy for a portfolio of accounts. The role involves advising customers on best practices, managing account plans, and collaborating with internal teams. Requires experience in technical customer-facing roles and accountability for customer health and revenue.

This role is for a Senior Partner Solutions Architect at MongoDB, focusing on guiding customers and partners in designing and building systems using MongoDB's data platform. The role involves technical alignment with the platform and customer needs, acting as a trusted advisor, and supporting sales activities like technical discovery, demos, and proof of value. While the company mentions redefining the database for the AI era and creating AI blueprints, the core responsibilities of this role are pre-sales, solution architecture, and partner relationship management, rather than direct AI/ML model development or deployment.

This role is a Senior Partner Solutions Architect at MongoDB, focusing on guiding customers and partners in designing and building systems using MongoDB's data platform. While the company mentions AI and the role involves working on "AI blueprints" and the "AI era", the core responsibilities are pre-sales technical alignment, solution design, and deal support, rather than directly building or researching AI/ML models or systems. The role leverages AI tools and concepts in the context of MongoDB's platform but is not an AI/ML craft role.

AI Developer Advocate to promote MongoDB's AI capabilities, engage with the community, build partnerships with AI companies, create resources, and collaborate with a global team. The role involves empowering developers to integrate AI into their applications, with a focus on vector search and Voyage AI, and building agentic solutions.

The Application Modernization Platform team aids developers in making the shift from relational databases to MongoDB, building toolkits that leverage AI to power seamless transitions. This Senior Technical Program Manager role focuses on owning the successful delivery of complex, cross-functional efforts for Application Modernization, partnering closely with Engineering, Product, and other stakeholders to develop and execute product vision and business objectives.

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.

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 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.