MongoDB

Staff Research Scientist at MongoDB's Voyage AI team, focusing on developing next-generation embedding models, rerankers, and LLM agent paradigms for information retrieval and RAG. The role involves cutting-edge research in AI, deep learning, and NLP, with a strong emphasis on innovation and empirical validation.

Staff Engineer to build AI-powered code transformation tools for modernizing legacy applications using LLMs and GenAI. Responsibilities include leading technical strategy, designing and optimizing the code transformation workflow, crafting orchestration layers, and integrating AI capabilities for code generation, build, and test.

Head of AI Platform, GM role at MongoDB to lead the development and scaling of a new AI Applications Platform. This intrapreneurial role involves owning the business, vision, and execution of the platform, acting as the CEO of the product line. Responsibilities include defining technical architecture, building a team, scaling the platform, and managing P&L, R&D, and GTM strategy. Requires deep understanding of AI landscape, foundation models, embeddings, vector databases, and experience building scalable cloud/SaaS products and leading large cross-functional organizations.

This role leads the AI strategy and transformation for post-sales customer support, aiming to make it an AI-first, automation-led organization. Responsibilities include defining an AI roadmap, architecting conversational AI platforms, implementing intelligent automation, developing predictive analytics, and owning the support technology stack. The role requires strong technical depth in AI, RAG, and enterprise integration, along with strategic leadership and change management skills.

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

Senior Staff Engineer to lead the development of a Generative AI-powered platform for modernizing legacy applications. The role involves architecting complex distributed systems, designing orchestration agents, and delivering an enterprise-grade product that balances customer-specific tuning with scalability. Focus on minimizing deployment friction and meeting compliance requirements.

Senior Staff Engineer to lead the development of a Generative AI-powered platform for modernizing legacy applications. The role involves architecting complex distributed systems, designing orchestration agents, and delivering an enterprise-grade product that balances customer-specific tuning with scalability. Focus on minimizing deployment friction and meeting compliance requirements.

Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on a generative AI platform for code generation and migration. Requires strong backend, distributed systems, and Java ecosystem experience, with streaming systems and data-intensive applications.

Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on a generative AI platform for code generation and migration. Requires strong backend, distributed systems, and Java ecosystem experience, with streaming systems and data-intensive applications.

Staff Engineer to build AI-powered code transformation tools for modernizing legacy applications. This role involves leading the design, building, and optimization of code transformation workflows and tools, crafting orchestration layers, integration points, and data systems that leverage AI for code generation, build, and test. Requires experience integrating GenAI into large-scale systems and leading AI model integration workflows.

Software Engineer on the Developer Productivity team at MongoDB, focusing on the Build Team. This role involves improving the reliability, performance, and developer experience of build systems (like Bazel) used to package and ship complex software. The candidate will update tooling, provide internal support, and learn core software development principles for shipping code at scale. While not directly building AI models, the role involves using and tuning AI tools to accelerate development velocity and improve code quality, and the company positions itself as enabling the AI era.

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.

Software Engineer to build backend systems and applications for MongoDB's Application Modernisation Platform (AMP). The role involves developing code analysis tools and schema recommendation engines, leveraging AI to enhance customer understanding and modernization of application codebases. Experience with LLMs and agentic workflows is a plus.

Staff Integration Engineer role focused on designing, implementing, and governing enterprise-grade integrations using Workato and modern API management patterns. The role emphasizes scalability, security, observability, and event-driven/API-first designs for core business processes. The team's mission includes streamlining systems and minimizing manual work through automation and AI.

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.

This role is for a Staff Content Engineer on the Builder Relations team, focusing on creating resources and content to help developers integrate MongoDB's data and AI capabilities into their applications. The role involves engaging with the developer community, producing tutorials, articles, and videos, and providing feedback to product teams. While the company is in the AI space and the role mentions AI capabilities and AI-assisted coding tools, the core function is developer advocacy and content creation, not building AI models or systems.

This role involves modernizing legacy relational applications to a cloud-based architecture running on MongoDB, leveraging GenAI tools and approaches to accelerate the process. The consultant will work as a software developer in an Agile environment, migrating Java applications and innovating on new GenAI-based solutions.

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.

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 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.

Senior Python Engineer role focused on developing and supporting open-source libraries for MongoDB, with a requirement for practical experience in AI/ML frameworks, LLMs, and agentic tools. The role involves contributing to core drivers, specifications, and collaborating with product teams to shape the roadmap.

Senior Python Engineer role focused on building and supporting open-source libraries for MongoDB developers, with a specific emphasis on integrating AI/ML frameworks, large language models, and agentic tools. The role involves contributing to the MongoDB Python drivers and related software, participating in open-source communities, and potentially influencing the roadmap for new user-facing features.

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.

Senior Software Engineer role focused on building intelligent tools for application modernization using AI, including code analysis and schema recommendation engines. The role involves backend and frontend development, with an emphasis on scalable systems and APIs, and collaboration across teams. Experience with AI-powered features, LLMs, and agentic workflows is a plus.

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.