Enterprise · Document DB
Currently tracking 12 active AI roles, with 114 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$270k (avg $189k).
| Title | Stage | AI score |
|---|---|---|
| Senior Research Scientist Research Scientist at MongoDB specializing in Machine Learning, focusing on Code-oriented LLMs, Agentic Systems, Reinforcement Learning, and Reasoning Models. The role involves conducting cutting-edge research, publishing in top-tier venues, and collaborating with engineering teams to translate research into commercial database products. Requires a Ph.D. and a strong publication record. | PretrainAgent | 10 |
| Software Engineer 3, App Analysis & Modelling 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. |
| Agent |
| 5 |
| Senior Software Engineer, App Analysis & Modelling 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. | Agent | 5 |
| Principal Partner Specialist This role is for a Principal Partner Specialist at MongoDB, focusing on developing and executing strategic Cloud and System Integrator (SI) partner strategies in Australia. The primary responsibilities include recruiting and developing partner relationships, generating sales pipeline, working with the enterprise sales team to close business, and leading partner engagement to build their sales and delivery capabilities. The role requires extensive experience in quota-carrying sales through various partner types and a strong ability to articulate the business value of complex enterprise technology. | — | 0 |
| Software Engineer 3 Software Engineer 3 for the Storage Engines team at MongoDB, focusing on WiredTiger, an open-source storage engine. Responsibilities include maintaining a pluggable protocol, managing concurrent transactional access, and improving performance, scalability, and resilience. Requires strong CS knowledge and C/C++ server-side experience, preferably in distributed systems and databases. | — | 0 |
| Technical Services Engineer MongoDB Technical Services Engineers advise customers and solve complex MongoDB problems, acting as specialists in the entire MongoDB ecosystem. They resolve issues related to architecture, performance, recovery, and security, and contribute to internal software development for support tools. The role requires strong diagnostics, troubleshooting, systems engineering, and networking experience, with the ability to analyze issues holistically. | — | 0 |
| Candidate Experience Coordinator This role is for a Candidate Experience Coordinator at MongoDB, a company that provides a database platform for the AI era. The primary responsibilities include scheduling interviews, managing candidate experience, and supporting the recruiting team with operational tasks and projects. The role requires strong organizational skills, attention to detail, and experience in recruiting coordination or administration. | — | 0 |
| Senior Enterprise Account Executive, Growth Senior Enterprise Account Executive focused on sales strategy and revenue growth within the Government Sector. This role involves prospecting, building relationships, and closing deals for MongoDB's enterprise technology, particularly its database platform which is positioned for the AI era. | — | 0 |
| Software Engineer 2 Software Engineer 2 on the MongoDB Developer Productivity team, focusing on the Performance Infrastructure Team. The role involves designing, building, and maintaining a performance benchmarking system and supporting tooling for MongoDB products. Responsibilities include implementing features, contributing to performance workloads, maintaining testing software, debugging issues using observability tools, participating in code reviews, and improving documentation. The role emphasizes learning and growing into owning more complex projects over time, with a focus on improving developer productivity and performance testing reliability. | — | 0 |
| Lead, Engineering Lead Software Engineer with a strong background in data streaming products, the Java ecosystem, and team leadership. Responsibilities include driving architectural decisions, mentoring engineers, and collaborating with product management to deliver a complex product suite using Java, Spring Boot, Apache Kafka, Debezium, and React. | — | 0 |
| Senior Consulting Engineer Senior Consulting Engineer role at MongoDB, focusing on customer implementations, training, and influencing product roadmap. Requires deep expertise in data platform design, operational excellence, and strong communication skills. The role involves working with customers across various industries to ensure they get the best out of MongoDB, which is positioned as a database for the AI era. | — | 0 |
| Staff Engineer, Distributed Systems Staff Engineer role focused on building and maintaining WiredTiger, MongoDB's open-source storage engine. The role involves improving transaction management, scaling the codebase, and enhancing resilience and availability for the database server. Requires experience in distributed and highly concurrent systems, C++ development, and database internals. | — | 0 |
| Enterprise Account Executive Enterprise Account Executive role focused on growing revenue within existing accounts by formulating and executing sales strategies. Responsibilities include identifying, qualifying, and closing sales pipelines, prospecting technical end-users, building relationships, and partnering with internal teams and external partners. Requires 8+ years of quota-carrying sales experience, a proven track record of overachievement, and the ability to articulate the business value of complex enterprise technology. | — | 0 |