MongoDB
Enterprise · Document DB
- HQ
- New York City, US
- Founded
- 2007
- Size
- 5,000+
- Website
- mongodb.com
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.
Enterprise · Document DB
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 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 |
|---|---|---|
| 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 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 |
| 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 |
| 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 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 |
| 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 |
| 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 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 |
| 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 |
| 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, 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 |
| 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 |
| Senior Solutions Architect (Pre-Sales) 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. While the company is redefining the database for the AI era and mentions RAG and AI architectures, the core responsibilities of this pre-sales role are centered around the MongoDB platform itself, customer advising, sales partnership, and demand generation, not directly building or shipping AI models or agents. The role touches on AI architectures as a customer use case, but it's not the primary craft. | — | 0 |
| Senior Manager, GTM Enablement This role leads a team of Program Managers responsible for designing and executing sales and services enablement programs to drive performance. It requires building and managing a high-performing team, fostering strong stakeholder relationships, ensuring successful program rollouts, and demonstrating measurable business impact through data analysis. | — | 0 |
| Equity and Executive Compensation Director This role is for an Executive Compensation Director at MongoDB, focusing on designing, implementing, and supporting global compensation programs, particularly executive and stock compensation. Responsibilities include program design, equity grant processes, market analysis, board and compensation committee support, and ensuring compliance with regulatory requirements. The role requires strong analytical, modeling, and project management skills, with a minimum of 12 years of experience in compensation, including executive and equity programs. | — | 0 |
| Director, Global Process Owner – Quote-to-Cash Director, Global Process Owner – Quote-to-Cash responsible for the end-to-end Quote-to-Cash process architecture, designing and governing scalable processes, establishing global standards, and resolving design tradeoffs. This role acts as a Finance design partner to IT, Product, Engineering, Deal Strategy, and Go-to-Market teams, focusing on long-term process architecture, operating model design, and simplification. Requires 10+ years of experience in Quote-to-Cash or related functions within a high-growth public-company SaaS environment. | — | 0 |
| Senior Director, Compensation This role is for a Senior Director of Compensation within MongoDB's People team. The primary focus is on optimizing and scaling global compensation programs, including strategy, design, and implementation, to attract, reward, and retain talent. The role involves advising senior leaders, managing compensation initiatives, and leading a team of compensation partners. While MongoDB is an AI company, this role is in HR/People Operations and does not directly involve building or shipping AI/ML models. | — | 0 |
| Project Manager, Office of CFO Project Manager for the Office of the CFO at MongoDB, focusing on operational excellence, strategic execution, and program management within the FinOps organization. Responsibilities include content development for leadership meetings, managing cross-functional projects, supporting executive communications, and driving process improvements. Requires strong program management, communication, and content development skills, with financial fluency. | — | 0 |
| Senior Director, HR Business Partnering Senior Director, HR Business Partnering role at MongoDB, partnering with the Chief Revenue Officer Leadership Team to develop and execute people strategies that drive growth, market expansion, and leadership development. This role focuses on strategic partnership, talent management, leadership development, organizational design, and culture, requiring extensive HR experience and leadership capabilities in a high-growth technology environment. The company mentions its role in the AI era and its database platform's relevance to AI, but this specific role is not directly involved in AI/ML development. | — | 0 |
| Senior Product Manager, Replication & Storage Engines Product Manager for MongoDB's core database replication and storage engines, focusing on durability, availability, and performance for mission-critical workloads. Requires strong technical understanding of distributed systems and databases, ability to translate customer issues into engineering priorities, and experience shipping in complex technical environments. | — | 0 |
| Senior Product Manager, Replication & Storage Engines Product Manager for MongoDB's core database replication and storage engines, focusing on durability, availability, and performance for mission-critical workloads. Requires strong technical understanding of distributed systems and databases, ability to translate customer issues into engineering priorities, and experience shipping in complex technical environments. | — | 0 |
| Manager, Travel Manager for MongoDB's corporate travel program in the Americas, focusing on strategy, operations, and optimization to ensure a cost-effective and employee-centric travel experience while maintaining policy compliance and traveler safety. | — | 0 |
| International Tax Director International Tax Director role at MongoDB, focusing on global tax compliance, transfer pricing, and strategic tax planning. Requires 10+ years of experience in corporate tax, with leadership experience and expertise in multinational tax regulations. The role involves managing a team, collaborating with advisors, and supporting global tax initiatives within a hybrid work model. | — | 0 |
| Executive Partner Specialist This role is a Cloud Partner Specialist focused on driving business for MongoDB, a database company that has redefined itself for the AI era. The specialist will lead strategic pursuits and manage relationships with Microsoft to drive transformation opportunities and generate pipeline. The role involves direct sales and partner channel sales experience, focusing on co-selling with hyperscalers and generating new business through cloud partnerships. While the company is in the AI space and mentions AI-native startups, the role itself is a sales and business development function, not directly building or researching AI models or systems. | — | 0 |
| Customer & Partner Advocate, Office of the CCO This role focuses on managing and enhancing strategic customer and partner relationships, reporting directly to the Chief Customer Officer. The Customer & Partner Advocate will prepare for executive meetings, act as a liaison between internal teams and external stakeholders, and synthesize insights to inform company strategy. The role requires a deep understanding of MongoDB's products and strategy, with an interest in software, AI, and data technology. | — | 0 |
| Senior Data Analyst II, Product Senior Product Analyst II at MongoDB, focusing on analyzing customer feature/product usage, identifying pain points, defining KPIs, and providing actionable recommendations to improve customer experience and drive business decisions. Requires strong analytical and technical skills, SQL proficiency, and experience with Python/R. | — | 0 |
| Leadership Development Manager This role focuses on designing, building, and scaling leadership development programs to support MongoDB's growth. It involves creating learning experiences for people managers, managing coaching programs, and leveraging AI-supported platforms for training. The role requires strong program management and instructional design skills, with a focus on developing leadership capabilities within the organization. | — | 0 |
| Director, Procurement This role is for a Director of Strategic Sourcing at MongoDB, leading a global team to drive procurement strategies, focusing on technology deals like cloud infrastructure and SaaS. The ideal candidate will have extensive experience in strategic sourcing, negotiation, people leadership, and data analysis to improve purchasing decisions and achieve cost savings. | — | 0 |
| Senior Manager, HR Compliance - Americas This role is for a Senior Manager, HR Compliance in the Americas region, responsible for developing, refining, and operationalizing a comprehensive compliance framework and strategy. It involves managing a team member focused on immigration and global mobility, partnering with regional and global HR functions, and ensuring adherence to laws, regulations, and internal policies. The role also includes leading audits, risk assessments, developing training programs, and collaborating with Legal and Employee Relations. | — | 0 |
| Senior Director, Cloud Partner Specialists, Microsoft Global Senior Director, Cloud Partner Specialists, Microsoft Global role focused on managing a global team to drive revenue and pipeline through strategic partnerships with Microsoft, owning the Go-to-Market strategy, and achieving sales objectives. | — | 0 |
| Senior Director, Cloud Partner Specialists, AWS NAMER & LATAM Senior Director to manage the AWS Cloud Specialist team in NAMER and LATAM, focusing on a quota-carrying strategic partnership with AWS. Responsibilities include owning the GTM strategy, generating pipeline, growing deal size, accelerating sales cycles, and closing business. Requires executive-level relationship building and team leadership. | — | 0 |
| Senior Business Value Consultant This role is a Senior Business Value Consultant for MongoDB, focusing on the enterprise market in North America. The consultant will work closely with the sales team in a pre-sales capacity to articulate the business value of MongoDB's solutions to clients, and in a post-sales capacity to validate value and identify optimization opportunities. The role involves creating business cases, financial models, and presenting technical concepts in terms of business benefits to executive stakeholders. While MongoDB is an AI company, this role is sales-adjacent and does not involve building or shipping AI models. | — | 0 |
| Director, Corporate Development & Ventures This role is for a Director of Corporate Development & Ventures at MongoDB, responsible for shaping and executing the inorganic growth strategy through M&A and strategic investments. The role requires leading transactions end-to-end, evaluating opportunities within the data infrastructure and AI ecosystem, and building the corporate development capability to scale execution. It involves close partnership with Product, Engineering, and Finance leadership. | — | 0 |
| IBM Principal Specialist This role is for an IBM Principal Specialist at MongoDB, focused on driving new business through a strategic IBM Co-Sell Partnership across the Americas. The role involves leading go-to-market initiatives, collaborating with sales teams, and accelerating revenue growth by addressing skills, product, and solution gaps. It requires executive-level relationship building, hands-on sales execution, and navigating complex enterprise deals within the database and cloud computing space, with a specific understanding of IBM's Data & AI portfolio and the watsonx ecosystem. | — | 0 |
| Principal Partner Specialist, Google Cloud This role is for a Principal Partner Specialist focused on Google Cloud partnerships for MongoDB. The primary responsibilities include developing and executing Go-to-Market strategies, generating pipeline, driving large deals, and managing the end-to-end partner relationship. The role requires significant experience in strategic sales or partner channel sales, pipeline generation, and stakeholder management, with a focus on co-selling with hyperscalers. | — | 0 |