Currently tracking 11 active AI roles, with 107 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$270k (avg $189k).
MongoDB has 32 active AI-related job listings. The majority of these roles are focused on agents, representing 59% of the active listings. Engineering is the top function for these positions. The company is actively hiring for roles related to agent orchestration, model serving, and RAG. Over the last 30 days, MongoDB posted 3 new AI roles, a 25% decrease compared to the prior 30-day period.
MongoDB currently has 34 active AI-related roles in our index. The most common open titles are: Senior Engineering Manager, Code Generation (2), Senior Software Engineer, Forward Deployed AI Engineer (2), Senior Staff Engineer (2), Senior Staff Engineer, AMP (2), Software Engineer, Code Generation (2). Most positions are in Engineering and Product.
MongoDB's active AI hiring is concentrated in: agents (65%), application (15%), serving infrastructure (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
MongoDB is hiring AI talent in: United States (14 roles), India (8 roles), Ireland (4 roles), Australia (3 roles).
Job postings at MongoDB most frequently reference: agent orchestration, model serving, rag, code gen, inference infra.
In the past 30 days, MongoDB has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Research Scientist Staff Research Scientist at MongoDB's Voyage AI team, focusing on developing next-generation AI models, specifically embedding models and rerankers for information retrieval and RAG. The role involves cutting-edge research in AI, including frontier LLMs and LLM agent paradigms, with a strong emphasis on publication and rigorous empirical studies. | PretrainAgent | 9 |
| Head of AI Platform, GM 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. |
| Agent |
| 7 |
| Head of Post Sales Technology 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. | Agent | 7 |
| Senior Staff Engineer, AMP 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. | Agent | 7 |
| Senior Staff Engineer, AMP 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. | Agent | 7 |
| Senior Customer Success Manager Senior Customer Success Manager role at MongoDB, focusing on maximizing customer lifetime value and success for Enterprise accounts. Responsibilities include customer advisory, account management, and internal collaboration to drive retention, revenue, and advocacy. Requires significant experience in technical customer-facing roles and accountability for customer health and revenue. | — | 5 |
| Director, Technology Partners This Director role focuses on executing MongoDB's technology partner strategy, particularly in the AI space, by managing a team of Partner Managers to drive business outcomes and activate partnerships with AI labs, agent frameworks, and developer platforms. The role requires leadership, cross-functional coordination, and technical fluency in AI applications to turn partner relationships into measurable pipeline contribution and co-sell motions. | — | 5 |
| Principal Evangelist This role is for a Principal Evangelist at MongoDB, focused on highlighting builder success and promoting the use of MongoDB's platform, especially in the context of AI. The individual will create content (video, audio, written), engage with the community, and provide feedback to the product team. While the company mentions AI and the role requires active use of AI-assisted coding tools, the core function is not building AI models or systems, but rather promoting a database platform that supports AI development. | — | 5 |
| Principal Business Development Manager, Frontier AI Labs This role focuses on managing relationships with frontier AI model lab partners to ensure MongoDB wins at the infrastructure layer for AI applications. It involves building executive relationships, working with Product on integrations, and driving go-to-market execution for joint initiatives. The role requires deep understanding of AI application architecture and strategic thinking to identify partnership opportunities and drive measurable outcomes. | — | 5 |
| Software Engineer, Data Migration Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on schema modeling, code generation, and data synchronization. The role involves designing and building components for a generative AI platform, code generation, and migration tools, with a focus on orchestration layers, integration points, and high-performance data systems. Experience with Java, streaming systems, and data-intensive applications is required. | Agent | 5 |
| Senior Technical Product Marketing Manager Senior Technical Product Marketing Manager to lead positioning and messaging for MongoDB Search and Vector Search, focusing on their role as retrieval layers for AI applications and agents. The role requires technical depth in information retrieval and product marketing skills to create differentiated messaging. Experience building or shipping AI-enabled products is a strong advantage. | — | 5 |
| Senior Partner Programs Lead This role focuses on building and scaling a new ISV partner program for MongoDB, specifically targeting horizontal AI-native ISVs and vertical ISVs building AI applications. The Senior Partner Programs Lead will identify, recruit, and activate partners, develop go-to-market strategies, and collaborate cross-functionally to drive adoption and co-sell execution. The role requires business development, commercial acumen, and technical fluency in the context of data platforms and AI applications. | — | 5 |
| Senior Customer Success Manager This role is for a Senior Customer Success Manager at MongoDB, focusing on managing enterprise accounts and maximizing customer lifetime value. The role involves advising customers on complex technical journeys, driving retention and revenue, and collaborating with internal teams. While the company is heavily involved in AI and the role mentions "AI fluency" to enhance customer engagement, the core responsibilities are customer success and account management, not direct AI/ML development. | — | 5 |
| AI Natives Enterprise Account Executive Enterprise Account Executive focused on selling MongoDB's data platform for AI to AI-native startups in the San Francisco hub. The role involves architecting go-to-market strategies, driving executive engagement, building relationships with founders and VCs, and exceeding revenue targets. Requires 8+ years of quota-carrying field experience selling complex enterprise solutions. | — | 5 |
| Software Engineer, Developer Productivity 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. | — | 5 |
| Senior Manager, Sales Operations 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. | — | 5 |
| Staff Product Manager - Internal AI 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. | Ship | 5 |
| Principal, Strategic AI Partnerships 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. | — | 5 |
| Senior Python Engineer 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. | — | 5 |
| Senior Python Engineer 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. | Agent | 5 |
| Senior Director, Data Product Management 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. | — | 5 |
| Senior Product Manager - IT Go-to-Market AI 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. | — | 5 |
| Senior Partner Solutions Architect 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. | — | 5 |
| Senior Partner Solutions Architect 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. | — | 5 |
| Senior Staff Engineer, MongoDB Developer Productivity 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. | — | 5 |
| Senior Engineering Manager, Code Generation 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. | Ship | 5 |
| Senior Engineering Manager, Code Generation 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. | Ship | 5 |
| Senior Staff Enterprise Architect, Q2C & Monetization 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. | Agent | 5 |
| Senior Staff Enterprise Architect, Data 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. | Agent | 5 |
| Customer Success Manager 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. | — | 5 |
| Software Engineer 3, Atlas Vector Search 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. | — | 5 |
| Senior Customer Success Manager 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. | — | 5 |
| Senior Software Engineer, Inference Platform 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. | Serve | 5 |
| Senior Data Product Manager, Product Telemetry 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. | Ship | 5 |
| Senior Manager, Technical Services Engineering 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. | — | 5 |
| Head of Talent Discovery Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence. | — | 1 |
| Head of Talent Discovery Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence. | — | 1 |
| Head of Talent Discovery Head of Talent Discovery at MongoDB, leading a global team to solve complex hiring challenges. This role focuses on strategic sourcing, full-lifecycle support, and leveraging data and AI tools to innovate talent pipelining and drive hiring goals across the organization. The position requires strong leadership, change management, data fluency, and executive influence. | — | 1 |
| NetSuite Engineer 3 - Business Systems MongoDB is seeking an experienced NetSuite engineer to join their FinTech team. The role involves designing, developing, and implementing integrations, customizations, and enhancements within their NetSuite and ERP system landscape. Responsibilities include optimizing the NetSuite platform, supporting integrations with SFDC, Concur, and Coupa, and collaborating with stakeholders across Finance, Order to Cash, Revenue, Sales, and Data Warehousing to drive efficient financial processes. The candidate will also lead projects, develop best practices, and mentor junior team members. | — | 0 |
| Head of Early Talent Recruiting This role leads the global early career hiring program at MongoDB, focusing on strategic leadership, people management, and leveraging AI tools to optimize recruitment processes. The Head of Early Talent Recruiting will oversee campus hiring, university partnerships, and internship programs, reporting to the Director of Talent Acquisition. | — | 0 |
| Sr. Executive Assistant, Chief Legal Officer Executive Assistant to the Chief Legal Officer at MongoDB, a company that has redefined the database for the AI era. The role involves managing the CLO's calendar, travel, and sensitive legal documents, including governance, banking, and compliance materials. It requires strong organizational skills, judgment, and discretion, with experience in a legal environment. The company emphasizes its AI-native platform and its role in enabling AI innovation. | — | 0 |
| Staff Technical Program Manager, Site Reliability Engineering This role is for a Staff Technical Program Manager (TPM) focused on Site Reliability Engineering (SRE) at MongoDB. The TPM will partner with SRE leaders and engineers to scale the platform underpinning MongoDB's cloud products. Key responsibilities include driving program planning and execution, strengthening production reliability practices, leading cross-functional coordination with teams like Security and Compliance, and building scalable systems and processes. The role requires strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs/SLIs), with the ability to interpret metrics and logs. While the company mentions AI and its database platform for the AI era, this specific role is focused on the underlying platform reliability and SRE practices, not direct AI/ML model development or research. | — | 0 |
| Salesforce Engineer III, FedRAMP Seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions in regulated environments (FedRAMP). Requires strong hands-on technical expertise, engineering judgment, and experience with Salesforce configuration, Apex, LWC, and integrations. Must comply with regulatory requirements and leverage AI-powered development tools. | — | 0 |
| Growth Marketing Manager Growth Marketing Manager at MongoDB responsible for developing and implementing lifecycle marketing tactics to drive platform adoption, retention, and expansion for B2B SaaS users, with a focus on product-led growth strategies and marketing to a technical audience. | — | 0 |
| Director, ISV Partnerships MongoDB is seeking a Director of ISV Partnerships to lead the strategy and execution of their ISV partner program. This role involves building a greenfield program, managing a team of partner managers, and working closely with industry-specific and AI-native ISVs. The Director will be responsible for defining the program's strategic framework, building program infrastructure, and engaging directly in key partner relationships and negotiations. The role requires a player-coach approach, with a focus on team development, cross-functional leadership, and understanding the evolving ISV landscape, particularly in AI. | — | 0 |
| Manager, Site Reliability Engineering - Storage Layer Service Manager for Site Reliability Engineering focusing on MongoDB's Storage Layer Services (SLS). The role involves leading a team of SREs to ensure the reliability, durability, and operational safety of the storage layer that underpins MongoDB Atlas. Responsibilities include defining SLOs, shaping capacity plans, and contributing to architectural design reviews and operational challenges. Requires experience in distributed systems, Kubernetes, IaC, and operating stateful storage or database systems at scale. | — | 0 |
| Manager, Candidate Experience This role manages the global Candidate Experience function at MongoDB, focusing on operational excellence, process standardization, and team development. The individual will own the end-to-end candidate journey, build reporting dashboards, and drive adoption of new tools and automation, including AI, to increase efficiency. | — | 0 |
| Manager, Candidate Experience This role manages the global Candidate Experience function at MongoDB, focusing on operational excellence, process standardization, and team development. The individual will own the end-to-end candidate journey, build reporting dashboards, and drive adoption of new tools and automation, including AI, to increase efficiency. | — | 0 |
| Release Manager Release Manager for MongoDB's core database, responsible for owning and improving the build and release process, collaborating with developers and stakeholders to ensure timely delivery of high-quality releases, and prioritizing release-related tasks and bug reports. Requires strong technical communication, diagnostic intuition for complex distributed architectures, and automation skills. | — | 0 |
| Senior Director, Customer & Partner Operations Senior Director of Customer & Partner Operations to drive systems, insights, processes, and rhythm-of-business for customer success, professional services, support, and partner functions at MongoDB. This role focuses on operational backbone, measuring and tracking customer and partner GTM models, and leading a strategy & operations team to shape business reviews and executive decisions. | — | 0 |