MongoDB, Inc. provides general purpose database platform worldwide. The company offers MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premise, or in a hybrid environment; MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It also provides professional services comprising consulting and training. The company was formerly known as 10gen, Inc. and changed its name to MongoDB, Inc. in August 2013. MongoDB, Inc. was incorporated in 2007 and is headquartered in New York, New York.

mongodb

<p>Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems.</p>
<p>Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours.</p>
<p>We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database.</p>
<p>We are looking to speak to candidates who are based in Dublin for our hybrid working model.</p>
<h3>Candidate Profile</h3>
<ul>
<li>3+ years of experience in data intensive environments&nbsp;</li>
<li>Hands-on experience building industrial-strength software</li>
<li>Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture</li>
<li>Experience with large code bases</li>
<li>B.Sc in Computer Science or similar field, or equivalent practical experience</li>
<li>Experience in developing database systems is a plus</li>
<li>Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus</li>
</ul>
<h3>Position Expectations</h3>
<ul>
<li>Understand and improve current functionality of the MongoDB query engine</li>
<li>Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools</li>
<li>Work with other engineers to coordinate seamless changes in a feature-rich, large code base</li>
<li>Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects</li>
</ul>
<h3>Success Measures</h3>
<ul>
<li>In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series</li>
<li>In six months, you’ll have taken on code review responsibilities and are involved in reviewing the design for new features</li>
<li>In twelve months, you’re making significant contributions to the development of a new major features</li>
</ul>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB is an equal opportunities employer.</p>
<p><em>Req ID: 3273583758</em></p>

Software Engineer 3

<p>We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience. <br><br>Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their summer pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users.<br><br>This is a 10 week internship starting in June 2027.</p>
<h3>What we are looking for in you (qualifications)</h3>
<ul>
<li>In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field.</li>
<li>Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design.</li>
<li>Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language.</li>
<li>Have a minimum of one quarter/semester remaining in university studies after the internship concludes. Graduation date in, Spring 2028, Summer 2028, Fall 2028, Spring 2029 or Summer 2029.</li>
<li>Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested. Company sponsorship may be available for eligible candidates applying for certain roles.</li>
</ul>
<h3>What you'll find at MongoDB</h3>
<ul>
<li>Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation.</li>
<li>Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an<a href="https://www.mongodb.com/careers/diversity-and-inclusion"> Employee Resource Group</a> (ERG) Guide to foster your growth.</li>
<li>Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development.</li>
<li>Work-Life Harmony: Embrace "Bloom for Interns" with access to mental and physical health benefits, paid time off, free lunch, and more!</li>
<li>Impactful Projects: Contribute to projects where you can Make it Matter - your meaningful work will see the light of day.</li>
<li>Exclusive Networking: Attend "Speaker Series" and "Get to Knows" to connect with our executives and departmental leaders.</li>
<li>Vibrant Community: Build connections with fellow interns and join after-work social events, virtual gatherings, and local city activities to create connections and friendships.</li>
<li>Relocation Support: Housing to allow you to comfortably settle into your new location.</li>
<li>Path to Full-Time: A chance to see if MongoDB is where you see yourself long term with the possibility of receiving a full time offer at the end of the summer!</li>
</ul>
<p>MongoDB internships are full-time (40 hours/week) for 10 consecutive weeks lasting from dates in June until August. All interns are considered hybrid employees, designated the "in office" working model and are expected to be in their office location 3-5 days a week.</p>
<p>Due to the high volume of applications our Early Talent Recruitment Team receives, it may take up to six weeks to hear back regarding an update on your application status. Our goal is to get back sooner, but we appreciate your patience as our team carefully reviews each application.<br><br></p>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p><em>Req ID: 3273577066</em></p>

2027 - Summer Software Engineer Intern, Dublin

<p>We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience.&nbsp;</p>
<p>Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their summer pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users.</p>
<p>This is a 12-week internship starting in May or June 2027.</p>
<p><strong>What we are looking for in you (qualifications)</strong></p>
<ul>
<li>In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field.</li>
<li>Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design.</li>
<li>Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language.</li>
<li>Have a minimum of one quarter/semester remaining in university studies after the internship concludes. Graduation date in Fall 2027, Spring 2028, Summer 2028, Fall 2028, Spring 2029 or Summer 2029.</li>
<li>Must be authorized to work in the United States.&nbsp;</li>
</ul>
<p><strong>What you'll find at MongoDB</strong></p>
<ul>
<li>Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation.</li>
<li>Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an<a href="https://www.mongodb.com/careers/diversity-and-inclusion"> Employee Resource Group</a> (ERG) Guide to foster your growth.</li>
<li>Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development.</li>
<li>Work-Life Harmony: Embrace "Bloom for Interns" with access to mental and physical health benefits, paid time off, free lunch, and more!</li>
<li>Impactful Projects: Contribute to projects where you can Make it Matter - your meaningful work will see the light of day.</li>
<li>Exclusive Networking: Attend "Speaker Series" and "Get to Knows" to connect with our executives and departmental leaders.</li>
<li>Vibrant Community: Build connections with fellow interns and join after-work social events, virtual gatherings, and local city activities to create connections and friendships.</li>
<li>Relocation Support: Financial assistance, housing, and a commuting stipend to allow you to comfortably settle into your new location.</li>
<li>Path to Full-Time: A chance to see if MongoDB is where you see yourself long term with the possibility of receiving a full time offer at the end of the summer!</li>
</ul>
<p>MongoDB internships are full-time (40 hours/week) for 12 consecutive weeks beginning in May or June and ending in August or September. All interns are considered hybrid employees, designated the "in office" working model and are expected to be in their office location 3-5 days a week.</p>
<p>Due to the high volume of applications our Early Talent Recruitment Team receives, it may take up to six weeks to hear back regarding an update on your application status. Our goal is to get back sooner, but we appreciate your patience as our team carefully reviews each application.</p>
<p><strong>About MongoDB</strong></p>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>Req ID: 426438</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.</p></div><div class="title">MongoDB’s base salary range for this role in the U.S. is:</div><div class="pay-range"><span>$86,528</span><span class="divider">&mdash;</span><span>$123,552 USD</span></div></div></div>

2027 - Software Engineering Intern, AMER

<p>The Workload Resilience team is focused on improving the availability of MongoDB through solutions in the data plane. We build out the core server workload management infrastructure so that MongoDB can properly queue, load shed, and make decisions to stabilize performance during situations where system resources are beginning to become constrained. We are the team behind the recent release of <a href="https://www.mongodb.com/docs/atlas/intelligent-workload-management/?interface=atlas-ui">Intelligent Workload Management</a>, a new product feature that introduces dynamic rate limiting and operation prioritizations when the database is overloaded.&nbsp;</p>
<p>We are an agile team looking for an engineer who is excited about shipping incremental improvements quickly and strong obsessions with customer impact and operational excellence.</p>
<p>We are looking to speak to candidates who are based near one of our MongoDB Offices for our hybrid working model.</p>
<h3>Candidate Profile</h3>
<ul>
<li>Minimum 5 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent low-level software systems. Experience in C++ and/or Rust is preferable.</li>
<li>Strong operational excellence fundamentals, with a focus on refining tools, team processes, and culture to deliver high-quality and reliable software consistently</li>
<li>Strong systems fundamentals, including multi-threaded programming and performance profiling</li>
<li>Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns.</li>
<li>Experience with distributed system concepts such as fault tolerance, consistency, and availability</li>
<li>Experience with writing software to observe and mitigate overload scenarios for highly performant and concurrent systems</li>
</ul>
<h3>Position Expectations</h3>
<ul>
<li>Write production-ready database code in C++, Rust, or possibly another low-level language</li>
<li>Write unit tests and integration tests in C++, Rust, Javascript, and Python to demonstrate application correctness</li>
<li>Investigate the availability and performance characteristics of the server and write regression tests</li>
<li>Implement and continuously improve server workload policies to rate limit, prioritize, and make decisions about incoming and in-progress operations to maximize database availability and performance while the system is overloaded</li>
<li>Improve the workload and system observability/diagnostics of the core server.</li>
<li>Diagnose availability, performance and correctness test failures, identify bugs and/or deficiencies in existing code, and fix them</li>
<li>Interview candidates for software engineering positions</li>
<li>Proactively and continuously improve our operational readiness including monitoring and observability, incidence management and rollout processes.</li>
<li>Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives</li>
<li>Mentor new and junior engineers on the team, participating in helping facilitate technical growth in the team</li>
<li>Lead projects through writing scope and technical design documents, and be able to appropriately estimate and plan out execution streams across contributors</li>
</ul>
<h3>Success Measures</h3>
<ul>
<li>In the first month, you will have understood the high level architecture of MongoDB and fixed a few bugs</li>
<li>In three months, you will have contributed to the development of a project slated for the next major release of MongoDB. You will have taken on code review responsibilities and are involved in reviewing the design for new features</li>
<li>In six months, you will be leading the development of a new feature and helping to mentor new engineers on the team</li>
</ul>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>Req ID: 3273575477</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.</p></div><div class="title">MongoDB’s base salary range for this role in the U.S. is:</div><div class="pay-range"><span>$101,000</span><span class="divider">&mdash;</span><span>$273,000 USD</span></div></div></div>

Senior Software Engineer, Workload Resilience

<p>MongoDB’s Replication Team builds the infrastructure that enables high availability, fault tolerance, automatic failover, and tunable consistency. As a Senior Engineer on the team, you will design and implement distributed-systems features that protect data and keep applications available under demanding operating conditions.</p>
<p>You will work primarily in C++ on core database code, partner with engineers across MongoDB, and shape features central to major MongoDB releases. This is an opportunity to apply distributed-systems fundamentals to problems in data consistency, recovery time, replication performance, and operability.</p>
<p>We are looking to speak to candidates who are based near one of our MongoDB office for our hybrid working model.</p>
<h3>What you will do</h3>
<ul>
<li>Design and implement production features across the replicated data lifecycle</li>
<li>Improve restore and recovery workflows with attention to recovery time objectives</li>
<li>Improve replication lag, throughput, and flow control; measure performance and prevent or resolve regressions</li>
<li>Write production-quality C++ and the unit, integration, and system tests needed to demonstrate its correctness</li>
<li>Use JavaScript and Python where appropriate to extend test coverage and validate end-to-end behavior</li>
<li>Collaborate with partner engineering teams and stakeholders on large, cross-functional initiatives</li>
<li>Investigate distributed-systems issues raised by customers and Technical Support, communicate findings clearly, and deliver durable fixes</li>
<li>Participate in code reviews, design reviews, and technical discussions that improve the quality of the team’s work</li>
<li>Interview candidates and mentor junior engineers and interns</li>
</ul>
<h3>What you bring</h3>
<h3>Required</h3>
<ul>
<li>At least five years of experience programming, debugging, and performance-tuning distributed or highly concurrent software systems</li>
<li>Strong systems fundamentals, including multithreaded programming, concurrency, debugging, and performance profiling</li>
<li>Practical experience with distributed-systems concepts such as replication, data consistency and durability, recovery, fault tolerance, or consensus protocols</li>
<li>Experience working with complex production codebases and diagnosing problems that cross system boundaries</li>
<li>Strong written and verbal technical communication skills</li>
<li>A collaborative approach and the ability to make realistic assessments of project complexity and delivery risk</li>
</ul>
<h3>Preferred</h3>
<ul>
<li>Professional experience developing production software in C++</li>
<li>Familiarity with database internals or core components of data-processing systems</li>
<li>Experience with replication, recovery, data consistency, or Raft/another consensus protocol; direct experience with every area is not expected</li>
<li>Experience writing unit, integration, and end-to-end tests in C++, JavaScript, or Python</li>
<li>Experience responding to customer-impacting production issues in distributed systems</li>
<li>Experience mentoring engineers or interns and contributing to technical hiring</li>
</ul>
<p>Candidates with additional relevant experience may be considered for more senior roles.</p>
<h3>What success looks like</h3>
<h3>In your first month</h3>
<ul>
<li>Build a working understanding of MongoDB’s replication architecture, development workflow, and testing strategy</li>
<li>Begin resolving scoped bugs and contributing effectively to code reviews</li>
</ul>
<h3>In your first three months</h3>
<ul>
<li>Contribute production C++ code to a project targeted for an upcoming MongoDB release</li>
<li>Diagnose and resolve issues identified by testing, customers, or partner teams</li>
</ul>
<h3>In your first six months</h3>
<ul>
<li>Take regular ownership of code reviews and participate meaningfully in feature design reviews</li>
<li>Independently drive scoped technical work from investigation through implementation and validation</li>
</ul>
<h3>In your first twelve months</h3>
<ul>
<li>Lead the development of a new feature or substantial improvement from design through delivery</li>
<li>Help mentor new engineers and contribute to the team’s technical direction</li>
</ul>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>Req ID: 3273575391</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.</p></div><div class="title">MongoDB’s base salary range for this role in the U.S. is:</div><div class="pay-range"><span>$101,000</span><span class="divider">&mdash;</span><span>$273,000 USD</span></div></div></div>

Senior Software Engineer, Replication

<p>The MongoDB Query Testing Tools Team is hiring Software Engineers who want to join us in building a state-of-the-art distributed query system. Our Team builds tooling that allows us to ship Query Engine features with high confidence in both correctness and performance, making it a great fit if you like seeing your work protect real customers at scale. The team develops advanced testing frameworks (end-to-end testing, fuzzing, property-based testing) as well as performance measurement tools, including high-volume workload generation tools.</p>
<p>The team is part of the Query organization which is responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection; our engineers work on maintaining and improving our optimization and execution frameworks and building new query language features to help power our customers' critical workloads. Throughout all our work, our highest priority is always ensuring that customer queries are answered correctly. The successful applicant will be responsible for helping us to maintain the highest standards of quality through rigorous development, testing and automation strategies.</p>
<p>This role can be based out of our Dublin/Cork office, or remotely in Ireland.</p>
<h3>Candidate Profile</h3>
<ul>
<li>5+ years of experience in software development and/or performance engineering</li>
<li>Fluency in Python, Javascript or Typescript</li>
<li>Enjoys chasing down difficult problems in a distributed environment</li>
<li>Able to make complex concepts easy to grasp in written and spoken English</li>
<li>Able to decompose and solve complex problems and can rapidly iterate by validating new hypotheses and rethinking current assumptions</li>
<li>Demonstrating hands-on experience working with relational or NoSQL databases is a plus</li>
<li>B.Sc. in Computer Science or related field, or equivalent practical experience. Advanced degrees of experience in database query engines is a plus</li>
<li>Experience in developing automation test frameworks is a plus</li>
<li>Experience in query processing engine testing is a strong plus</li>
<li>Experience in developing performance test plans and monitoring frameworks is a strong plus</li>
<li>Background in database query engines or compilers is a strong plus</li>
</ul>
<h3>Position Expectations</h3>
<ul>
<li>Design, develop, and maintain automated testing frameworks, Performance automated tests and internal tooling for the MongoDB query engine</li>
<li>Collaborate closely with peers to understand new features and functionalities, ensuring testability, test frameworks, tooling and coverage for automating tests of both happy-path and edge-case scenarios</li>
<li>Provide feedback in code reviews, focusing on the robustness and reliability of code changes</li>
</ul>
<h3>Success Measures</h3>
<ul>
<li>Within three months, you have gained an understanding of MongoDB's MQL syntax and its semantics, as well as the behavior of our unique query engine. You have contributed to several code bases on Mongodb engine internal tooling</li>
<li>By six months, you have established yourself as a key owner of automated test frameworks, and demonstrated improvements in test efficiency and coverage</li>
<li>After twelve months, you are instrumental in ensuring quality of major new features, setting an example for new team members in best practices for correctness and performance test automation and internal tooling</li>
</ul>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB is an equal opportunities employer.</p>
<p><em>Req ID: 3273588903</em></p>

Senior Software Engineer, Query

<h3>About the Job</h3>
<p>MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis &amp; Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB.</p>
<p>We are looking for a Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys.</p>
<p>We are looking to speak to candidates who are based in Sydney for our hybrid working model.</p>
<h3>The Ideal Candidate Will Have</h3>
<ul>
<li>3-5+ years (Mid-Level) or 5+ years (Senior) of commercial software development experience with strong proficiency in Python and/or Java</li>
<li>Experience(or extensive experience for senior candidates) designing and building scalable, high-performance APIs and backend services</li>
<li>Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation</li>
<li>Good understanding of algorithms, data structures, and their time and space complexity</li>
<li>Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack</li>
<li>Degree in Computer Science or a similar field, or equivalent practical experience</li>
<li>Curiosity, a positive attitude, and a drive to continue learning</li>
<li>Excellent verbal and written communication skills</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows</li>
<li>Experience with code analysis, static analysis tooling, or building tools that traverse and interpret code structures programmatically</li>
<li>Familiarity with MongoDB</li>
<li>Experience with cloud-native distributed systems (e.g., Kubernetes or similar)</li>
<li>Contributions to open-source projects</li>
</ul>
<h3>Position Expectations</h3>
<ul>
<li>Contribute high-quality, well-tested code to the App Analysis &amp; Modelling team’s backend and frontend services</li>
<li>Design and build scalable APIs and data pipelines that power code analysis and schema recommendation features</li>
<li>Drive technical design and architecture for complex features (for senior candidates), or deliver robust implementations following established designs (for mid-level candidates)</li>
<li>Collaborate effectively with Product Management, other engineers, and designers to build and deliver on the product roadmap</li>
<li>Participate actively in code reviews to enforce best practices and maintain a high bar for code quality</li>
<li>Give and solicit feedback on technical design documents and pull requests</li>
<li>Help troubleshoot and resolve complex technical issues across the stack</li>
<li>Perform tasks related to engineering process such as CI/CD, quality, and testing</li>
<li>Mentor and guide team members while elevating engineering best practices (for senior candidates)</li>
</ul>
<h3>Success Measures</h3>
<p>Within the first three months, you will have:</p>
<ul>
<li>Familiarised yourself with the MongoDB database and aggregation language</li>
<li>Familiarised yourself with the backend tech stack including Python, Java, and our API infrastructure</li>
<li>Set up your software development environment and begin contributing to the codebase</li>
<li>Started collaborating with your peers and contributed to code reviews and design discussions</li>
</ul>
<p>Within six months, you will have:</p>
<ul>
<li>Familiarised yourself with the full stack including the React/TypeScript frontend</li>
<li>Worked on and delivered a large-scale feature in the product</li>
<li>Contributed to and helped deliver multiple product releases</li>
<li>Reviewed and contributed to scope and technical design documents</li>
</ul>
<p>Within twelve months, you will have:</p>
<ul>
<li>Become a core technical leader (for senior candidates) or an independent owner of complex features (for mid-level candidates)</li>
<li>Delivered at least one large-scale feature that spans the entire tech stack</li>
<li>Helped recruit and interview new members of the team</li>
<li>Collaborated effectively with other teams at MongoDB on cross-functional projects</li>
<li>Help recruit, mentor, and interview new members of the team (emphasized for senior candidates)</li>
</ul>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB is an equal opportunities employer.</p>
<p><em>Requisition ID : 426487</em></p>

Senior Software Engineer, App Modernization

<p>The database market is massive and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.</p>
<p>The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.</p>
<p>The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper.&nbsp; This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript)&nbsp; that customers use to manage their backups.&nbsp; Common project themes are performance, scaling, and ease of use.&nbsp;</p>
<p>We are looking to speak to candidates who are based in New York City for our hybrid working model.</p>
<h3>We're looking for someone who is</h3>
<ul>
<li>Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)</li>
<li>Fond of chasing down tough problems in a distributed systems environment</li>
<li>Cool under pressure - has wrangled production crises, and secretly finds this a little fun</li>
<li>Experienced with Linux, and able to correlate application performance problems with underlying hardware limits</li>
<li>Comfortable working across the stack of a modern web application</li>
<li>Always striving to expand their knowledge</li>
<li>Curious, collaborative and intellectually honest&nbsp;</li>
</ul>
<h3>Responsibilities</h3>
<ul>
<li>Work closely with product teams, considering the user’s perspective while helping the team achieve success</li>
<li>Collaborate with team members over best practices and core concepts</li>
<li>Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research &amp; development</li>
<li>Own<a href="https://www.mongodb.com/company"> our core values</a> and adhere to them in your work, and</li>
<li>Stay up to date with best practices in web engineering&nbsp;</li>
</ul>
<h3>Success Measures</h3>
<p>A Software Engineer will be successful in this role when they</p>
<ul>
<li>Are open, honest and willing to contribute and collaborate with others</li>
<li>Develop confidence in finding their way across the platform</li>
<li>Can take responsibility for the planning and execution of a major feature, representing Engineering when working with Product and Design</li>
<li>Are willing to learn and contribute to all parts of the stack</li>
<li>Are resolute in their approach to problem solving, balancing the needs of their team with the willingness to get to the bottom of issues</li>
</ul>
<h3>About MongoDB</h3>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>Req. ID: 3273588951</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.</p></div><div class="title">MongoDB’s base salary range for this role in the U.S. is:</div><div class="pay-range"><span>$0.01</span><span class="divider">&mdash;</span><span>$0.01 USD</span></div></div></div>

Senior Software Engineer

<p></p>
<p>The Staff Product Manager is an Individual Contributor (IC) product leader responsible for a broad platform surface for Atlas Infinite at MongoDB. Atlas Infinite is the largest architectural innovation in MongoDB Atlas ever, purpose-built to handle today's speed and scale of development and demand.&nbsp;</p>
<p>In this position, you will own and solve end-to-end problems around the user experience and database experience of Atlas Infinite, including but limited to feature discovery, activation, monetization, and retention. You will see patterns, opportunities, and risks across areas, own cross-team product and architectural trade-offs, establish reusable standards for PM craft, and align senior stakeholders around multi-year bets. You have deep knowledge of cloud database platforms, distributed data systems, and enterprise product development.</p>
<p>You will partner closely with cross-functional engineering leaders, product peers, and executive stakeholders to drive outcomes across organizational boundaries, guiding a portfolio spanning Atlas Infinite's disaggregated compute and storage architecture, production workload readiness, migration and Atlas interoperability, and the new customer experiences this architecture may make possible. You will not inherit a closed list of future features: part of your mandate is to discover opportunities we have not yet articulated and challenge assumptions about which problems matter most. With AWS public preview now live, you will help turn real workload evidence into a credible path to GA and subsequent releases, in close partnership with the existing team.</p>
<p>This role can be based out of a MongoDB office or remotely in Canada.</p>
<h3>Responsibilities</h3>
<ul>
<li>Interlinked Vision &amp; Multi-Year Bets: Set and champion a product vision across Atlas Infinite's capabilities, while actively discovering opportunities that are not on today's roadmap or fit any single team's remit. Explore what decoupled compute and storage could make possible for developers, enterprises, and emerging AI workloads; use hypotheses, customer evidence, prototypes, and market signals to uncover needs we have not yet named. Branching, on-demand compute, and instant recovery are examples of possible bets. Make the case for investment and prioritization, including build-vs-buy considerations, and distinguish exploratory vision from release commitments</li>
<li>Cross-Team Execution: Along with program management, own execution health across workstreams, negotiating sequencing, scope, and resource trade-offs with engineering leaders and peer PMs where you have no direct authority. Ensure preview-to-GA readiness, roadmaps, and dependencies across database, storage, Atlas platform, migration, backup, security, and cloud infrastructure teams are aligned and connect to company objectives</li>
<li>Execution &amp; Research Standards: Establish lightweight operating practices and shared customer/market research frameworks that make workload qualification, customer-representative testing, win/loss analysis, launch readiness, and post-launch learning consistent across the portfolio. Use data to drive decisions without overburdening delivery teams</li>
<li>Product Health: Resolve complex post-launch escalations when the root cause spans architecture, performance, migration, observability, supportability, or unclear ownership. Turn customer and operational signals into systemic product fixes rather than one-off workarounds</li>
<li>Customer Discovery: Identify needs and competitive dynamics that cut across product areas. Look beyond requests from today's customers to discover emerging jobs-to-be-done, surprising uses of the architecture, and reasons customers do not choose MongoDB at all. Combine interviews, workload and pricing evidence, product analytics, field feedback, and experiments to test known hypotheses and uncover unknowns; reorient the roadmap when the evidence warrants it</li>
<li>Outbound &amp; GTM: Partner with product marketing, pricing, sales, solutions architecture, customer success, documentation, and support on high-stakes customer engagements, product positioning, and omni-channel marketing. Establish ideal customer profile; ensure claims and migration guidance match demonstrated capabilities; translate successful adoption and enablement approaches into shared playbooks</li>
<li>Executive Alignment: Synthesize customer experience, technical readiness, adoption, and commercial impact into clear, confident product stories for senior leadership. Surface cross-area risks and progress early, including trade-offs between new-workload growth, customer savings, and changes to existing Atlas usage</li>
<li>Mentorship: Mentor PMs across the area, sharing frameworks for cross-team alignment, customer evidence, technical trade-offs, multi-year bets, and leadership communication</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>8+ years of product management or equivalent product leadership experience, with a track record personally shaping strategy and outcomes for complex technical platforms across multiple teams, rather than only coordinating delivery</li>
<li>Strong technical fluency in cloud databases, distributed data systems, storage infrastructure, developer experiences, or an adjacent developer platform. Able to reason with engineers about architecture, performance, availability, data movement, and trade-offs without needing to be the system designer</li>
<li>A demonstrated ability to discover opportunities beyond the current roadmap: connect technical possibilities to unmet customer needs, formulate and test hypotheses, notice surprising patterns, and change direction when evidence challenges the original thesis</li>
<li>Experience taking a complex product from early adoption toward dependable, broader use while protecting space for longer-term innovation; able to make explicit trade-offs among customer trust, technical readiness, speed, and investment</li>
<li>Proven ability to influence without authority, negotiating sequencing and resource trade-offs across partner teams with competing priorities</li>
<li>Commercial and analytical judgment: able to assess workload-level value, adoption and usage evidence, competitive alternatives, pricing and unit economics, and the impact of a new product on an existing portfolio. Comfortable with build-vs-buy questions where relevant</li>
<li>Ability to raise the quality of customer discovery and product decision-making across teams through useful shared methods and mentorship, without mistaking more process for better outcomes</li>
<li>Exceptional communication skills: able to explain a technical and commercial thesis, its uncertainties, and the evidence that would change your mind to engineers, customers, executives, and go-to-market partners</li>
</ul>
<h3>Success Measures</h3>
<ul>
<li>In 3 months you will have built a shared picture of which workloads Atlas Infinite serves well today, where customers struggle, what must be true for broader adoption, and what remains unknown. You will have clarified ownership with peer PMs and engineering, established baseline measures, and identified the highest-value questions to investigate</li>
<li>In 6 months you will have influenced consequential roadmap and GA-readiness decisions with customer-representative evidence; articulated a compelling, revisable view of where Infinite can create distinctive customer value beyond GA; and built a learning agenda with clear tests and decision points for both known bets and newly emerging opportunities</li>
<li>In 12 months the portfolio will show measurable progress against its established baselines for qualified adoption, customer experience, and readiness for broader workloads. Important bets will have advanced, changed, or been stopped for explicit reasons; cross-team investments will have produced customer value; and the team will be better equipped to recognize and act on opportunities that were not visible at the start of the year</li>
</ul>
<p>About MongoDB</p>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB is an equal opportunities employer.</p>
<p>Req ID: 3273579821</p>
<p></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.</em></p>
<p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.</p></div><div class="title">MongoDB’s base salary range for this role in Canada is:</div><div class="pay-range"><span>$155,000</span><span class="divider">&mdash;</span><span>$215,000 CAD</span></div></div></div>

Staff Product Manager, Atlas Infinite

<p>The Staff Product Manager is an Individual Contributor (IC) product leader responsible for a broad platform surface for Atlas Infinite at MongoDB. Atlas Infinite is the largest architectural innovation in MongoDB Atlas ever, purpose-built to handle today's speed and scale of development and demand.&nbsp;</p>
<p>In this position, you will own and solve end-to-end problems around the user experience and database experience of Atlas Infinite, including but limited to feature discovery, activation, monetization, and retention. You will see patterns, opportunities, and risks across areas, own cross-team product and architectural trade-offs, establish reusable standards for PM craft, and align senior stakeholders around multi-year bets. You have deep knowledge of cloud database platforms, distributed data systems, and enterprise product development.</p>
<p>You will partner closely with cross-functional engineering leaders, product peers, and executive stakeholders to drive outcomes across organizational boundaries, guiding a portfolio spanning Atlas Infinite's disaggregated compute and storage architecture, production workload readiness, migration and Atlas interoperability, and the new customer experiences this architecture may make possible. You will not inherit a closed list of future features: part of your mandate is to discover opportunities we have not yet articulated and challenge assumptions about which problems matter most. With AWS public preview now live, you will help turn real workload evidence into a credible path to GA and subsequent releases, in close partnership with the existing team.</p>
<p>This role can be based out of a MongoDB office or remotely in the United States.</p>
<h3>Responsibilities</h3>
<ul>
<li>Interlinked Vision &amp; Multi-Year Bets: Set and champion a product vision across Atlas Infinite's capabilities, while actively discovering opportunities that are not on today's roadmap or fit any single team's remit. Explore what decoupled compute and storage could make possible for developers, enterprises, and emerging AI workloads; use hypotheses, customer evidence, prototypes, and market signals to uncover needs we have not yet named. Branching, on-demand compute, and instant recovery are examples of possible bets. Make the case for investment and prioritization, including build-vs-buy considerations, and distinguish exploratory vision from release commitments</li>
<li>Cross-Team Execution: Along with program management, own execution health across workstreams, negotiating sequencing, scope, and resource trade-offs with engineering leaders and peer PMs where you have no direct authority. Ensure preview-to-GA readiness, roadmaps, and dependencies across database, storage, Atlas platform, migration, backup, security, and cloud infrastructure teams are aligned and connect to company objectives</li>
<li>Execution &amp; Research Standards: Establish lightweight operating practices and shared customer/market research frameworks that make workload qualification, customer-representative testing, win/loss analysis, launch readiness, and post-launch learning consistent across the portfolio. Use data to drive decisions without overburdening delivery teams</li>
<li>Product Health: Resolve complex post-launch escalations when the root cause spans architecture, performance, migration, observability, supportability, or unclear ownership. Turn customer and operational signals into systemic product fixes rather than one-off workarounds</li>
<li>Customer Discovery: Identify needs and competitive dynamics that cut across product areas. Look beyond requests from today's customers to discover emerging jobs-to-be-done, surprising uses of the architecture, and reasons customers do not choose MongoDB at all. Combine interviews, workload and pricing evidence, product analytics, field feedback, and experiments to test known hypotheses and uncover unknowns; reorient the roadmap when the evidence warrants it</li>
<li>Outbound &amp; GTM: Partner with product marketing, pricing, sales, solutions architecture, customer success, documentation, and support on high-stakes customer engagements, product positioning, and omni-channel marketing. Establish ideal customer profile; ensure claims and migration guidance match demonstrated capabilities; translate successful adoption and enablement approaches into shared playbooks</li>
<li>Executive Alignment: Synthesize customer experience, technical readiness, adoption, and commercial impact into clear, confident product stories for senior leadership. Surface cross-area risks and progress early, including trade-offs between new-workload growth, customer savings, and changes to existing Atlas usage</li>
<li>Mentorship: Mentor PMs across the area, sharing frameworks for cross-team alignment, customer evidence, technical trade-offs, multi-year bets, and leadership communication</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>8+ years of product management or equivalent product leadership experience, with a track record personally shaping strategy and outcomes for complex technical platforms across multiple teams, rather than only coordinating delivery</li>
<li>Strong technical fluency in cloud databases, distributed data systems, storage infrastructure, developer experiences, or an adjacent developer platform. Able to reason with engineers about architecture, performance, availability, data movement, and trade-offs without needing to be the system designer</li>
<li>A demonstrated ability to discover opportunities beyond the current roadmap: connect technical possibilities to unmet customer needs, formulate and test hypotheses, notice surprising patterns, and change direction when evidence challenges the original thesis</li>
<li>Experience taking a complex product from early adoption toward dependable, broader use while protecting space for longer-term innovation; able to make explicit trade-offs among customer trust, technical readiness, speed, and investment</li>
<li>Proven ability to influence without authority, negotiating sequencing and resource trade-offs across partner teams with competing priorities</li>
<li>Commercial and analytical judgment: able to assess workload-level value, adoption and usage evidence, competitive alternatives, pricing and unit economics, and the impact of a new product on an existing portfolio. Comfortable with build-vs-buy questions where relevant</li>
<li>Ability to raise the quality of customer discovery and product decision-making across teams through useful shared methods and mentorship, without mistaking more process for better outcomes</li>
<li>Exceptional communication skills: able to explain a technical and commercial thesis, its uncertainties, and the evidence that would change your mind to engineers, customers, executives, and go-to-market partners</li>
</ul>
<h3>Success Measures</h3>
<ul>
<li>In 3 months you will have built a shared picture of which workloads Atlas Infinite serves well today, where customers struggle, what must be true for broader adoption, and what remains unknown. You will have clarified ownership with peer PMs and engineering, established baseline measures, and identified the highest-value questions to investigate</li>
<li>In 6 months you will have influenced consequential roadmap and GA-readiness decisions with customer-representative evidence; articulated a compelling, revisable view of where Infinite can create distinctive customer value beyond GA; and built a learning agenda with clear tests and decision points for both known bets and newly emerging opportunities</li>
<li>In 12 months the portfolio will show measurable progress against its established baselines for qualified adoption, customer experience, and readiness for broader workloads. Important bets will have advanced, changed, or been stopped for explicit reasons; cross-team investments will have produced customer value; and the team will be better equipped to recognize and act on opportunities that were not visible at the start of the year</li>
</ul>
<p>About MongoDB</p>
<p>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.</p>
<p>Our compass at MongoDB is our <a href="https://www.mongodb.com/company">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.&nbsp;</p>
<p>To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. <a href="https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb">From employee affinity groups, to fertility assistance and a generous parental leave policy</a>, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.<a href="https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB</a>, and help us make an impact on the world!</p>
<p>MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.</p>
<p>MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p>
<p>Req ID: 3273579821</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.</p></div><div class="title">MongoDB’s base salary range for this role in the U.S. is:</div><div class="pay-range"><span>$151,000</span><span class="divider">&mdash;</span><span>$297,000 USD</span></div></div></div>

Get a job referral to MongoDB

Description

Jobs· 10 open

About

Financials

Referrals