MongoDB
Enterprise · Document DB
- HQ
- New York City, US
- Founded
- 2007
- Size
- 5,000+
- Website
- mongodb.com
Enterprise · Document DB
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.
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 |
|---|---|---|
| Senior Software Engineer, Atlas Clusters Software Engineer to join the Atlas Clusters Fleet Rollout Management team, responsible for overseeing all software deployments to the Atlas Data Plane. The role involves building and designing new features for MongoDB Atlas, contributing to and leading complex technical projects, and working with stakeholders and customers to ensure platform stability, high availability, performance, and security. | — | 0 |
| Site Reliability Engineer (Senior or Staff), Infrastructure Security Senior or Staff Site Reliability Engineer focused on the security of cloud-based infrastructure, including design, implementation, automation, and monitoring of security solutions. The role involves hands-on technical work, mentoring, and collaboration with other engineering teams to ensure high security standards. | — | 0 |
| Senior Software Engineer Senior Software Engineer role focused on building and maintaining the .NET/C# driver and related libraries for MongoDB. The role involves advocating for best practices, making design tradeoffs, working with concurrency and distributed systems, and contributing to open source communities. Responsibilities include coding, testing, bug investigation, customer support, community engagement, and mentoring. |
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| International Tax Manager Seeking a U.S. International Tax Manager to oversee international tax planning, compliance, and reporting, ensuring alignment with business objectives and navigating complex tax laws. Responsibilities include managing compliance forms, providing expertise in tax planning strategies, supporting tax provisions, conducting research on tax laws, collaborating with cross-functional teams, supporting tax technology initiatives, and assisting with tax audits. | — | 0 |
| Team Lead, Site Reliability Engineering - Storage Layer Service Lead SRE for MongoDB's Storage Layer Services (SLS) team, focusing on re-architecting and ensuring the reliability, durability, and operational safety of the cloud storage layer. This role involves building and leading a team of SREs, defining technical vision and roadmaps, and contributing hands-on to architectural design and operational challenges. | — | 0 |
| Security Software Engineer, Infrastructure Security (Staff or Senior) Security Software Engineer role focused on designing and building scalable security controls and services for MongoDB Atlas multi-cloud infrastructure. Responsibilities include developing secure-by-default infrastructure, building automation and tooling for security posture management, integrating security into CI/CD and IaC workflows, and collaborating with other engineering teams. | — | 0 |
| Security Software Engineer, Infrastructure Security (Staff or Senior) Security Software Engineer focused on designing and building scalable security controls and services for MongoDB Atlas multi-cloud infrastructure. This role involves developing secure-by-default infrastructure, APIs, automation, and tooling for security posture management, integrating security into CI/CD and IaC workflows, and collaborating with other engineering teams. | — | 0 |
| Senior IRM Analyst This role focuses on information security risk management and compliance within an enterprise setting, specifically ensuring adherence to regulations like DORA, FedRAMP, and NIS2. The Senior IRM Analyst will conduct risk assessments, evaluate control effectiveness, and report on risks to leadership, playing a key role in reducing organizational uncertainty and empowering business decisions within a regulated landscape. | — | 0 |
| Senior Manager, Revenue Senior Revenue Manager role at MongoDB, focusing on accounting treatment for new product offerings, complex revenue transactions, and refining revenue recognition policies. The role involves leading and mentoring a team, participating in month-end close, and collaborating with business partners. Requires deep expertise in ASC 606 and experience in high-growth SaaS/tech companies. | — | 0 |
| Senior Site Reliability Engineer, Fleet Management Senior Site Reliability Engineer focused on fleet management, specifically the Kubernetes runtime environment and its core components. The role involves contributing to scalable and secure infrastructure, providing internal support, and participating in on-call rotations. Experience with Go, Python, Kubernetes, Linux internals, and distributed systems is required. | — | 0 |
| Escalation Manager, FedRamp - Swing Shift This role is for an Escalation Manager at MongoDB, focusing on managing critical technical issues and incidents for customers, particularly within the FedRAMP environment. The role involves coordinating with internal teams (Engineering, Sales, Product Management) and external customers/partners to drive issue resolution, provide timely updates, and ensure customer satisfaction. It requires a technical background in support or engineering, strong incident response and crisis management skills, and experience with regulated environments like FedRAMP. The position emphasizes communication, organization, and problem-solving in a fast-paced, customer-focused setting. | — | 0 |
| Enterprise Account Executive, Growth Enterprise Account Executive for MongoDB, focusing on selling their developer data platform (MongoDB Atlas) to organizations, including those building AI-powered applications. The role involves new business acquisition, pipeline management, and relationship building with technical leaders. | — | 0 |
| Escalation Manager, FedRAMP - 3rd Shift This role is for an Escalation Manager within MongoDB's Technical Services team, focusing on coordinating and driving the resolution of critical technical issues and incidents for customers. The role requires a technical background, strong communication, and incident management skills, with a specific emphasis on the FedRAMP program, requiring US citizenship and US soil presence. The position involves managing a portfolio of high-impact escalations, collaborating with internal teams, and providing timely updates to stakeholders. It is a third shift position with weekend work requirements. | — | 0 |
| Senior Enterprise Account Executive, Growth This is a sales role for MongoDB, a company that provides a database platform for the AI era. The role focuses on growing existing customer accounts and landing new workloads through outbound prospecting, managing the full sales cycle, and developing strategic territory plans. While the company is involved in AI, this specific role is not directly building or researching AI models. | — | 0 |
| Inside Account Executive Inside Account Executive role focused on formulating and executing a sales strategy within MongoDB’s most strategic accounts, closing net new workloads and expanding MongoDB’s footprint. This role involves driving product adoption, upsells, and cross-sells by cultivating strategic relationships with executives and multi-level champions. The role requires a proven track record in B2B sales, experience selling complex SaaS/Cloud products, and the ability to articulate business value. While MongoDB is redefining the database for the AI era, this specific role is in sales, not AI development. | — | 0 |
| Technical Services Engineer, 2nd Shift MongoDB Technical Services Engineers provide expert support and problem-solving for customers' complex MongoDB issues, covering the entire ecosystem including database server, drivers, and cloud services. This role requires deep technical experience in systems and storage engineering, networking, and troubleshooting mission-critical production systems, with a focus on customer service and collaboration. | — | 0 |
| Technical Services Engineer 2nd Shift This role is for a Technical Services Engineer at MongoDB, focusing on customer support and complex problem-solving within the MongoDB ecosystem. Responsibilities include advising customers on architecture, performance, recovery, and security, acting as an expert resource, advocating for customer needs, and contributing to internal support tools. The role requires strong systems engineering, networking, and storage experience, with basic coding/scripting ability. It also involves mentoring new team members and learning new product lines. A US citizenship and ability to work specific shifts (including weekends) are required, with FedRAMP compliance being a key aspect. | — | 0 |
| IAM Security Engineer 3 IAM Security Engineer 3 at MongoDB responsible for designing, implementing, and operating identity, access, and endpoint security solutions. Focuses on IAM platforms like Okta, AWS IAM, GCP IAM, and Azure AD, automation using Terraform/Python, and supporting compliance initiatives like FedRAMP High. | — | 0 |
| Senior Staff Engineer, MongoDB Developer Productivity This role is for a Senior Staff Engineer on the Developer Productivity team at MongoDB. The primary focus is on enhancing the software development ecosystem for thousands of engineers, ensuring high-quality product delivery. Responsibilities include identifying system-wide opportunities to accelerate developer velocity, enhancing data collection, and integrating analytics assistants for actionable insights. The role requires extensive experience in developer productivity, DevOps, CI/CD, and observability tools. While the company mentions AI and the role involves integrating AI tools, the core craft is not AI/ML model development but rather improving the developer experience. | — | 0 |
| Team Lead, Site Reliability Engineering - Fleet Management Team Lead for Site Reliability Engineering focusing on Fleet Management, responsible for the Kubernetes runtime environment, infrastructure, and operational functions. The role involves managing a team, developing technical vision, and contributing to architectural design, with a focus on automation and migrating from IaC to an Operator-driven model. | — | 0 |
| Staff Software Engineer, Query (Optimization) Staff Software Engineer role focused on query optimization for a distributed document database. Responsibilities include designing, building, and innovating query optimization systems, researching state-of-the-art query systems, and contributing to the technical roadmap. Requires extensive experience in data management systems and C++. | — | 0 |
| Staff Software Engineer, Query (Optimization) Staff Software Engineer focused on query optimization for a distributed document database. Responsibilities include designing, building, and innovating query optimization systems, researching state-of-the-art query systems, and contributing to the technical roadmap. Requires extensive experience in data management systems and C++. | — | 0 |
| Engagement Manager (Services Sales) This is a quota-carrying Professional Services Sales role focused on scoping, negotiating, and closing Professional Services opportunities to accelerate customer adoption of MongoDB technologies. The Engagement Manager will partner with sales, professional services, and customer success teams to drive services sales, manage the pipeline, and articulate the business value of professional services. | — | 0 |
| Enterprise Account Executive Enterprise Account Executive role focused on growing MongoDB's top clients in the US by formulating and executing sales strategies, resulting in account expansion and revenue growth. This role involves prospecting, managing complex c-level relationships, and collaborating with internal teams and partners to drive customer satisfaction and deal sizes. | — | 0 |
| Enterprise Account Executive, Growth This role is for an Enterprise Account Executive focused on growth within MongoDB's existing customer base. The primary responsibility is to identify and pursue new business opportunities, cultivate relationships with stakeholders, and drive the adoption of MongoDB's developer data platform, which is used to build AI-powered applications. The role involves managing the full sales cycle, developing territory plans, and collaborating with the sales ecosystem. While the company's product enables AI development, this role is in sales and does not directly build or ship AI models or systems. | — | 0 |
| Growth Marketing Senior Manager Senior Manager, Growth Marketing Operations role at MongoDB, focusing on accelerating the PLG-led self-serve business. This role involves driving cross-functional initiatives, strengthening operational rigor, managing operating cadence, tracking key metrics, and synthesizing data into narratives. It requires a strategic and tactical change agent adept at working across teams. | — | 0 |
| Software Engineer 3, Atlas Search Systems Software Engineer 3, Atlas Search Systems at MongoDB. This role focuses on building and maintaining the instances and supporting infrastructure for Atlas Search, a multi-cloud service that enables complex full-text and vector search queries. The position involves contributing to the design, implementation, and support of projects to improve scalability and ensure a seamless experience for large workloads. The role emphasizes distributed systems, backend software development, and public cloud platforms. | — | 0 |
| Senior Accountant, Technical Revenue Senior Accountant, Technical Revenue role at MongoDB, focusing on analyzing complex revenue transactions, providing direction on technical revenue accounting issues, and supporting business partners during contract negotiations. Responsibilities include month-end close, revenue reporting, and maintaining controls in a SOX-controlled environment. Requires 3+ years of experience in revenue accounting within the technology industry and proficiency in ASC 606. | — | 0 |
| Director, CEO Communications This role supports the CEO in shaping and executing communications across internal, customer, and investor audiences, focusing on narrative building and translating complex product roadmaps and financial data into conversational narratives. It requires strong writing, operational skills, and visual storytelling abilities in a fast-paced, high-growth tech environment. | — | 0 |
| Technical Services Engineer- Weekends This role is for a Senior Technical Services Engineer focused on supporting MongoDB's cloud products, advising customers, troubleshooting issues, and collaborating with product and development teams. It involves deep technical understanding of MongoDB and related technologies, with a focus on customer success and problem resolution. | — | 0 |
| Enterprise Account Executive, Growth Enterprise Account Executive 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 close deals for MongoDB's developer data platform, which supports AI-powered applications. | — | 0 |
| Account Development Representative This is an Account Development Representative role at MongoDB, focused on identifying and qualifying new sales opportunities. The role involves working with Sales and Marketing, building customer enthusiasm, and generating pipeline. It is positioned as a first step for a career in sales, with investment in training and development. The job requires strong communication, time management, and a desire to work in a fast-paced environment, with a passion for technology and the aptitude to learn IT software products. | — | 0 |
| Account Development Representative This role is an Account Development Representative at MongoDB, focused on identifying and qualifying new sales opportunities. While MongoDB is an AI-focused company, this specific role is in sales and does not involve building or directly working with AI/ML models. | — | 0 |
| Software Engineer 3, Search Systems Replication & Routing Software Engineer 3 role focused on building and improving the distributed systems software for MongoDB's Atlas Search, specifically handling data ingestion, index building, partitioning, performance, availability, and backup management for search indexes. The role involves contributing to the design, implementation, and support of projects to enhance scalability and user experience for large workloads. | — | 0 |
| Enterprise Account Executive, Growth Enterprise Account Executive focused on growing MongoDB's customer base by identifying and pursuing new business opportunities within existing accounts, managing the full sales cycle, and developing strategic territory plans to achieve revenue targets. Requires 5+ years of quota-carrying sales experience and ability to articulate complex enterprise technology value. | — | 0 |
| Product Pricing & Monetization Strategy Senior Analyst Senior Analyst role focused on product pricing and monetization strategy at MongoDB, requiring strong analytical, financial modeling, and communication skills to drive revenue growth and product decisions. The role involves evaluating pricing for new and existing products, building financial models, partnering with cross-functional teams, and communicating insights to leadership. Experience with SQL and potentially Python is required, with a focus on using data to drive business decisions. | — | 0 |
| Enterprise Account Executive, Federal This is a sales role for an Enterprise Account Executive focused on the Federal market. The role involves acquiring new customers and growing revenue within an assigned territory. While the company, MongoDB, is heavily involved in AI and has redefined its database for the AI era, this specific position is in sales and does not involve building or directly working with AI/ML models or systems. | — | 0 |
| Enterprise Account Executive, Growth Enterprise Account Executive focused on growing existing customer accounts for MongoDB's developer data platform, which is positioned for the AI era. Responsibilities include prospecting, managing the sales cycle, and developing territory plans to meet revenue targets. Requires 5+ years of quota-carrying sales experience and a proven track record of overachievement. | — | 0 |
| Advisory Pre-Sales Solutions Architect This role is a Pre-Sales Solutions Architect for MongoDB, focusing on guiding customers to design and build systems using MongoDB's data platform. The role involves technical sales, customer advising, sales partnership, demand generation, and fostering customer success. While it mentions AI/ML projects as a 'may have' and RAG/AI architectures in the 'What you will learn' section, the core responsibilities and primary function are not AI/ML development or research. | — | 0 |
| Enterprise Account Executive This is a sales role for an Enterprise Account Executive at MongoDB, focused on driving growth within existing customer accounts and identifying new business opportunities. The role involves managing the full sales cycle, developing territory plans, and collaborating with the sales ecosystem. While MongoDB is an AI-focused company, this specific role is in sales and does not involve building or shipping AI models. | — | 0 |
| Senior Executive Assistant to CEO, Contract | — | — |
| Staff Software Engineer - Query Execution | — | — |
| Data Product Manager, Finance | — | — |
| Senior Research Scientist | — | — |