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.

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 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 for retention and revenue realization, and collaborating internally to advocate for customer needs. The role also leverages AI-driven tools to streamline workflows.

This role is for a Principal Partner Specialist at MongoDB, focusing on driving partner awareness and generating new business through SI Partners. The role involves prospecting, pipeline generation, building partner relationships, and collaborating with sales teams to meet bookings objectives. While MongoDB's technology is relevant to the AI era, this specific role is in sales and partner management, not directly building AI models or systems.

This role is a Solutions Architect within MongoDB's Pre-Sales organization. The primary focus is on guiding customers to design and build scalable systems using MongoDB's data platform, acting as a trusted advisor to help customers solve business problems by leveraging MongoDB's solutions. The role involves close collaboration with sales executives, technical discovery, demos, proof of value, presentations, and customer success.

Solutions Architect role focused on pre-sales technical alignment with MongoDB's data platform and customer needs, guiding customers on architecture, deployment, and operations. Involves customer advising, sales partnership, and demand generation.

Solutions Architect role focused on pre-sales technical alignment and customer success using MongoDB's data platform, including guidance on modern architectures and generative AI.

This role is a Customer Success Manager at MongoDB. The primary focus is on managing customer relationships post-sales, ensuring customer retention, revenue realization, and advocacy. The role involves advising customers on best practices, managing their accounts, and collaborating with internal teams. While the role mentions leveraging AI-driven tools, the core responsibilities are customer-facing and account management, not directly building or shipping AI models or systems.

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.

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

Enterprise Account Executive focused on growing and managing business within an assigned territory, formulating and executing sales strategies to drive revenue growth. The role involves prospecting, building relationships, and partnering with internal teams and external partners to maximize deal sizes.