MongoDB

<p>This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business.</p>
<p>You will work closely with partner teams in Analytics, FP&amp;A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics.</p>
<p>Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. </p>
<p>We are looking to speak to candidates who are based in Gurugram for our hybrid working model.</p>
<h3>Responsibilities</h3>
<ul>
<li>Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level</li>
<li>Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days</li>
<li>Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders</li>
<li>Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies</li>
<li>Document metric definitions, report logic, and data lineage</li>
</ul>
<h3>Skills &amp; Attributes</h3>
<ul>
<li>The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement</li>
<li>4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting</li>
<li>Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar)</li>
<li>Working proficiency in Python for data transformation, automation, or analysis</li>
<li>Hands-on Tableau or similar BI tool experience</li>
<li>Experience with agent-driven development practices </li>
<li>Experience working with consumption-based or usage-based revenue data (subscription, metered billing, or usage analytics a strong plus)</li>
<li>Nice-to-have: exposure to analytics engineering practices (dbt, data modeling, testing frameworks)</li>
<li>And most importantly, passionate about using data to help guide strategic decision making</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" rel="noopener noreferrer ugc" target="_blank">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. </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" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank"> 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: 3273559476</em></p>

Senior Data Analyst

<p>MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.</p>
<p>We are looking to speak to candidates who are based in Gurugram for our hybrid working model.</p>
<h3>Our ideal candidate:</h3>
<ul>
<li>Has 2-5 years of professional software engineering experience</li>
<li>Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.)</li>
<li>Strong technical judgment and the ability to independently solve complex engineering problems</li>
<li>Excellent communication skills and comfort collaborating across teams and disciplines</li>
<li>Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet</li>
<li>Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks)</li>
<li>Has the ability to iterate fast, specially in the case where requirements are not clear</li>
<li>Keeps up with emerging AI tooling and models, not just what's already mainstream</li>
<li>Collaborative, detail-oriented, and passionate about developing usable software</li>
</ul>
<h3>Bonus Round:</h3>
<ul>
<li>Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines</li>
<li>Experience designing systems or services used by other engineers or teams</li>
<li>Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React</li>
<li>Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph)</li>
<li>Familiarity with transformer architecture and model internals</li>
<li>Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines</li>
</ul>
<h3>Position Expectations:</h3>
<ul>
<li>Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those experiments and document them so that the knowledge can be used across the org.</li>
<li>Build lightweight prototypes to validate or kill ideas quickly</li>
<li>Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points</li>
<li>Partner with product, platform, and internal engineering teams to hand off validated capabilities once they're ready to move from experiment to production</li>
<li>Maintain technical rigor and clear documentation of findings, even for work that doesn't ship</li>
<li>Identify and communicate risks, unknowns, and open questions clearly to stakeholders</li>
</ul>
<h3>Success Measures:</h3>
<ul>
<li>In three months, have run and documented at least one AI capability experiment, with a clear recommendation on whether and how to pursue it further</li>
<li>In three months, demonstrate the ability to move quickly from idea to working prototype</li>
<li>In six months, have influenced the org's roadmap or tooling direction by surfacing a capability two to three steps ahead of current need, backed by evidence from your experimentation</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" rel="noopener noreferrer ugc" target="_blank">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. </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" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank"> 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 - 3273558097</em></p>

Software Engineer 3 - Enterprise Architecture

<p>We are looking to speak to candidates who are based in Gurugram for our hybrid working model.</p>
<h3>Team Description</h3>
<p>MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities.</p>
<h3>Our ideal candidate:</h3>
<p>- Has 6+ years of professional software engineering experience</p>
<p>- Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.)</p>
<p>- Strong technical judgment and the ability to independently solve complex engineering problems</p>
<p>- Excellent communication skills and comfort collaborating across teams and disciplines</p>
<p>- Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet</p>
<p>- Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks)</p>
<p>- Has the ability to iterate fast, specially in the case where requirements are not clear</p>
<p>- Keeps up with emerging AI tooling and models, not just what's already mainstream</p>
<p>- Collaborative, detail-oriented, and passionate about building reliable, usable software</p>
<h4>Bonus Round:</h4>
<p>- Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines</p>
<p>- Experience designing systems or services used by other engineers or teams</p>
<p>- Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React</p>
<p>- Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph)</p>
<p>- Familiarity with transformer architecture and model internals</p>
<p>- Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines</p>
<h3>Position Expectations:</h3>
<p>- Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those experiments and document them so that the knowledge can be used across the org.</p>
<p>- Build lightweight prototypes to validate or kill ideas quickly</p>
<p>- Stay current on new AI tooling and models, and turn relevant developments into concrete internal proof points</p>
<p>- Partner with product, platform, and internal engineering teams to hand off validated capabilities once they're ready to move from experiment to production</p>
<p>- Maintain technical rigor and clear documentation of findings, even for work that doesn't ship</p>
<p>- Identify and communicate risks, unknowns, and open questions clearly to stakeholders</p>
<h4>Success Measures:</h4>
<p>- In three months, have run and documented at least one AI capability experiment, with a clear recommendation on whether and how to pursue it further</p>
<p>- In three months, demonstrate the ability to move quickly from idea to working prototype</p>
<p>- In six months, have influenced the org's roadmap or tooling direction by surfacing a capability two to three steps ahead of current need, backed by evidence from your experimentation</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" rel="noopener noreferrer ugc" target="_blank">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. </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" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank"> 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>
<table>
<tbody>
<tr>
<td>Requisition ID</td>
<td>3273558098</td>
</tr>
</tbody>
</table>

Senior Engineer - Enterprise Architecture

<p>As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering.</p>
<p>We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model.</p>
<h3>What You'll Do</h3>
<ul>
<li>Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine</li>
<li>Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology</li>
<li>Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly</li>
<li>Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity</li>
</ul>
<h3>Measures of Success</h3>
<ul>
<li>In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio</li>
<li>In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice</li>
<li>In 12 months, you've established a track record of shipping ML-driven improvements to fleet stability, efficiency, or operational automation; deepened working relationships with two or more partner engineering teams; and become a go-to resource for statistical or engineering rigor across the team</li>
</ul>
<h3>Skills &amp; Attributes</h3>
<ul>
<li>5+ years of hands-on machine learning model development, working directly with technical stakeholders</li>
<li>Expertise and track of record working autonomously across the entire machine learning development lifecycle, including prototyping, simulation, tuning and iterating on products in deployment environments with and without dedicated engineering help</li>
<li>Embraces an object-oriented approach to designing scalable and readable Python codebase, and has experience working with engineers on architecture design of machine learning systems</li>
<li>Our codebase is primarily in Python and we use AI for developer productivity - but we expect all ICs to review, understand, and be able to redesign any code that ships regardless of whether a human or an AI wrote the first draft</li>
<li>Takes ownership of team culture: models psychological safety, and - in whatever way suits their style, whether that's a quiet word or a vocal challenge - encourages others to speak up and calls out when the environment isn't living up to it</li>
<li>Effective at communicating technical ML concepts to non-ML-experts audiences; e.g. able to translate efficacy measurements of ML models and products into tangible business impact metrics</li>
<li>Master's degree or equivalent experience in a quantitative/computational discipline (computer science, applied mathematics, statistics, physics, operations research, etc.)</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 75% of the Fortune 100 and AI-native startups, 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" rel="noopener noreferrer ugc" target="_blank">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. </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" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank"> 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: 3273521781</em></p>

Senior Data Scientist

<p>The Central Sales Analytics team at MongoDB sits at the center of how we understand and improve the performance of our revenue engine. While this role is rooted in Sales Analytics, its scope is broader and spans key parts of the GTM organization. This team partners closely with Sales, Sales Operations, Strategy &amp; Planning, FP&amp;A, Compensation, GTM Tech, and other cross-functional stakeholders to drive data-informed decisions across pipeline, productivity, forecasting, product adoption, and overall business performance.</p>
<p>We are looking for a Sr/Staff Analyst who can operate as both a strategic thought partner and a hands-on builder. This person will lead high-impact analytics work, translate ambiguous business questions into clear analytical plans, and develop scalable data products that help leaders make better decisions faster. The right candidate combines strong business judgment with deep technical fluency in SQL and Python, and is comfortable influencing senior stakeholders while independently driving complex work from scoping through execution.</p>
<p>This role also sits at an important intersection of GTM, Product, and Technology. In select cases, this person will work with Product and Technical teams to connect GTM insights with product signals and customer behavior, especially across GTM Tech, Atlas Core, and Emerging Products. There is also a strong expectation that this person brings an AI-forward mindset, using leading AI technologies and platforms to accelerate analysis, improve workflows, and build scalable insight-generation capabilities.</p>
<p>We are looking to speak to candidates who are based in Gurugram for our hybrid working model.</p>
<h3>What you'll do</h3>
<ul>
<li>Partner with Sales, Sales Operations, Strategy &amp; Planning, FP&amp;A, Compensation, GTM Tech, and broader GTM stakeholders to identify high-value analytical opportunities and turn them into actionable insights</li>
<li>Lead deep-dive analyses across pipeline health, funnel conversion, seller productivity, quota attainment, coverage and territory effectiveness, forecasting, and broader GTM performance trends</li>
<li>Translate ambiguous business questions into structured analyses, clear recommendations, and scalable data solutions</li>
<li>Connect GTM outcomes with product and customer signals to identify growth opportunities, improve prioritization, and deepen understanding of the customer journey</li>
<li>Partner selectively with Product and Technical teams to inform decisions that sit at the intersection of commercial strategy, product behavior, and operational execution</li>
<li>Collaborate with GTM Tech, Atlas Core, and Emerging Products to combine business context with technical and product signals in ways that improve insight generation and strategic alignment</li>
<li>Build scalable dashboards, datasets, reporting layers, analytical frameworks, and self-service tools that raise the quality and speed of decision-making</li>
<li>Use SQL and Python as core tools for data extraction, transformation, analysis, automation, modeling, and repeatable insight generation</li>
<li>Apply leading AI technologies and platforms to improve analytical workflows, accelerate discovery, and develop scalable data and insight products that can be reused across teams</li>
<li>Present findings to stakeholders across levels, including senior leaders, with a strong focus on clarity, business impact, and actionability</li>
<li>Partner with Data Engineering, Data Architecture, IT, and adjacent analytics teams to improve the quality, usability, and scalability of sales and GTM data assets</li>
<li>Strengthen data governance, metric consistency, and reporting reliability by identifying root causes of data issues and driving durable improvements</li>
<li>Raise the analytical bar for the team by improving processes, sharing best practices, and mentoring other analysts where appropriate</li>
</ul>
<h3>What we're looking for</h3>
<ul>
<li>6+ years of experience in Sales Analytics, GTM Analytics, Revenue Analytics, Business Analytics, or a closely related field</li>
<li>Strong fluency in both SQL and Python; both are core requirements for success in this role</li>
<li>Proven ability to work with large, messy datasets and translate complex analyses into clear business insights and recommendations</li>
<li>Strong background supporting go-to-market, sales, revenue, customer, or commercial organizations in a SaaS or high-growth technology environment</li>
<li>Demonstrated ability to work across business and technical teams and influence decisions through data, structured thinking, and clear communication</li>
<li>Experience building scalable analytics assets such as data models, dashboards, automated workflows, decision frameworks, or reusable insight products</li>
<li>Ability to connect business questions to product usage, customer behavior, and operational signals in a way that drives action</li>
<li>Strong foundation in data modeling, metric design, data quality, and data governance principles</li>
<li>Ability to independently lead ambiguous, cross-functional projects from problem framing through delivery and stakeholder adoption</li>
<li>Excellent communication and stakeholder management skills, including the ability to influence senior audiences with data</li>
<li>Hands-on experience using modern AI technologies or platforms to enhance analysis, improve productivity, or build scalable analytical capabilities</li>
<li>Strong ownership mindset with the judgment to know when to go deep, when to simplify, and how to drive impact across functions</li>
</ul>
<h3>Nice to have</h3>
<ul>
<li>Experience working across both GTM analytics and product analytics contexts</li>
<li>Familiarity with product telemetry, customer health signals, usage trends, or product-led growth motions</li>
<li>Experience partnering with Product, Engineering, Data Engineering, or GTM Systems / GTM Tech teams</li>
<li>Experience supporting Atlas Core, Emerging Products, or similarly technical product portfolios</li>
<li>Track record of building internal analytical tools, automation, or data products that scale beyond a single stakeholder group</li>
<li>Experience applying experimentation, forecasting, machine learning, or advanced statistical methods in business settings</li>
<li>Experience with Tableau or similar BI tools</li>
<li>Familiarity with Salesforce and other core GTM systems</li>
</ul>
<h3>Why this role matters</h3>
<p>This role will help shape how MongoDB uses data to make better decisions across the revenue engine. The person in this seat will influence how we measure performance, identify growth opportunities, improve operational execution, and connect GTM outcomes more tightly to customer behavior, product adoption, and emerging opportunities across the business.</p>
<p>By combining strong business judgment, deep technical analytics capability, and an AI-forward approach, this analyst will help MongoDB move faster, make better decisions, and build scalable insight capabilities that benefit teams well beyond Sales Analytics.</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 75% of the Fortune 100 and AI-native startups, 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" rel="noopener noreferrer ugc" target="_blank">Leadership Commitment,</a> guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. </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" rel="noopener noreferrer ugc" target="_blank">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" rel="noopener noreferrer ugc" target="_blank"> 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- 2273499492</em></p>

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