MongoDB

<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>

Staff Analyst

<p>The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer 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>MongoDB is seeking a Senior Analyst to support data-driven, people-focused decision making for the company.  Partnering with our People team, you will transform HR and organizational data into actionable insights to help us hire the right talent, manage our overall workforce, and improve workforce effectiveness, leading to better outcomes for our people and the company.</p>
<p>This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.</p>
<p>This role can be based out of our NYC office or remotely in the US region.</p>
<h3>Responsibilities</h3>
<ul>
<li>Partner with People teams (business partners, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendations</li>
<li>Help develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term success</li>
<li>Leverage understanding of statistics to conduct analyses that help People teams make quicker, more informed decisions</li>
<li>Write and maintain complex queries to conduct deep-dive analyses on the impact that People initiatives have on employee engagement, productivity and retention</li>
<li>Liaise with Data Engineering and HRIS teams to create and manage a curated central repository for people data</li>
<li>Design and build automated dashboards to empower stakeholders to self-serve their data and analytical needs</li>
<li>Prioritize and triage analytical and reporting asks from across the People team</li>
<li>Develop and support ongoing data governance and data quality processes</li>
<li>Effectively communicate analytical findings to non-technical audiences</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>3+ years of hands-on analytics experience (focus on people/HR analytics preferred)</li>
<li>Advanced SQL skills, comfortable manipulating very large datasets </li>
<li>Proficient in Python or R with a strong focus on data wrangling and data analysis</li>
<li>Extensive experience with Tableau or another leading visualization tool is required</li>
<li>Experience analyzing complex people data (e.g. headcount, attrition, recruiting metrics, compensation data) strongly preferred but not required</li>
<li>Experience in survey design and analysis preferred</li>
<li>Familiarity with data architecture fundamentals and data warehousing</li>
<li>Proficiency with data modeling and data quality best practices</li>
<li>Demonstrated ability to effectively communicate and set priorities with key stakeholders at all levels of the organization</li>
<li>Highly collaborative and organized, with a strong attention to detail </li>
<li>Comfort with ambiguity and ability to work in a self-guided manner</li>
<li>Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment</li>
<li>Exposure to Modern Cloud Data Warehouses preferred</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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.</p>
<p>With offices worldwide and over 60,000 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, 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: 1273383451</p><div><div><div><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>MongoDB’s base salary range for this role in the U.S. is:</div><div><span>$83,000</span><span>—</span><span>$162,000 USD</span></div></div></div>

Senior Data Analyst

<h3>About Voyage AI Team at MongoDB</h3>
<p>Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.</p>
<p>We are looking to speak to candidates who are based in Palo Alto for our hybrid working model.</p>
<h3>Position Overview</h3>
<p>We are seeking a Staff Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks.</p>
<p>This role can be based out of our Palo Alto office, or remotely in the United States.</p>
<h3>Responsibilities</h3>
<ul>
<li>Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers</li>
<li>Innovate in next-generation information retrieval and LLM agent paradigm</li>
<li>Collaborate closely with other research scientists and research engineers as well as peers across the organization</li>
</ul>
<h3>Qualifications</h3>
<ul>
<li>PhD degree in Computer Science or related field</li>
<li>A track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications in top venues</li>
<li>Strong background in machine learning, deep learning, and natural language processing</li>
<li>Experience building complex neural networks for language and visual understanding</li>
<li>Capable of conducting rigorous empirical studies to validate theoretical results</li>
<li>Excellent leadership, problem-solving, and communication skills</li>
</ul>
<h3>What We Offer</h3>
<ul>
<li>Opportunity to work on real-world problems at the cutting edge of AI research</li>
<li>Opportunity to utilize research vision to innovate the entire company and make real-world impact</li>
<li>Exposure to the full lifecycle of AI model development, from research to production</li>
<li>Our compensation (base + equity) for this position is competitive with frontier AI labs</li>
</ul>
<h3><strong>About MongoDB</strong></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" target="_blank" rel="noopener noreferrer ugc">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, 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: 2273454547</p><div><div><div><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>MongoDB’s base salary range for this role in the U.S. is:</div><div><span>$151,000</span><span>—</span><span>$297,000 USD</span></div></div></div>

Staff Research Scientist

<p>The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity.</p>
<p>We are looking for a <span>Staff Engineer</span> with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test.</p>
<p>This role will be based remotely in North America.</p>
<h3>A strong candidate for this position will have</h3>
<ul>
<li>Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments</li>
<li>Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL</li>
<li>Experience with tools and methodologies for code analysis, refactoring, and automated testing</li>
<li>Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance</li>
<li>Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI</li>
<li>Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions</li>
<li>Experience in leading the design and development of complex workflow for AI model integration and output processing.</li>
<li>Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity</li>
<li>Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset</li>
</ul>
<h3>Position Expectations</h3>
<ul>
<li>Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation</li>
<li>Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow</li>
<li>Engineering Excellence &amp; Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team</li>
<li>Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP</li>
</ul>
<h3>Success Measures</h3>
<p>Within the first three months, you will have</p>
<ul>
<li>Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications</li>
<li>Established yourself as the technical leader within the team, actively driving technical decisions</li>
<li>Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables</li>
</ul>
<p>Within six months, you will have</p>
<ul>
<li>Successfully led the team to deliver a prototype or initial release of a major feature for code transformation</li>
<li>Contributed to and helped define and scope roadmaps for code gen deliverables</li>
<li>Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs</li>
</ul>
<p>Within 12 months, you will have</p>
<ul>
<li>Become recognized as the go-to technical expert for code gen domain</li>
<li>Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams</li>
<li>Played a crucial role in helping recruit, interview and mentor new team members</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, 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: 425546</p><div><div><div><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>MongoDB’s base salary range for this role in the U.S. is:</div><div><span>$137,000</span><span>—</span><span>$270,000 USD</span></div></div></div>

Staff Engineer, Code Generation

<p></p>
<p>The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity.</p>
<p>We are looking for a <span>Staff Engineer</span> with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test.</p>
<p>This role will be based remotely in North America.</p>
<h3>A strong candidate for this position will have</h3>
<ul>
<li>Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments</li>
<li>Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL</li>
<li>Experience with tools and methodologies for code analysis, refactoring, and automated testing</li>
<li>Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance</li>
<li>Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI</li>
<li>Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions</li>
<li>Experience in leading the design and development of complex workflow for AI model integration and output processing.</li>
<li>Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity</li>
<li>Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset</li>
</ul>
<h3>Position Expectations</h3>
<ul>
<li>Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation</li>
<li>Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow</li>
<li>Engineering Excellence &amp; Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team</li>
<li>Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP</li>
</ul>
<h3>Success Measures</h3>
<p>Within the first three months, you will have</p>
<ul>
<li>Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications</li>
<li>Established yourself as the technical leader within the team, actively driving technical decisions</li>
<li>Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables</li>
</ul>
<p>Within six months, you will have</p>
<ul>
<li>Successfully led the team to deliver a prototype or initial release of a major feature for code transformation</li>
<li>Contributed to and helped define and scope roadmaps for code gen deliverables</li>
<li>Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs</li>
</ul>
<p>Within 12 months, you will have</p>
<ul>
<li>Become recognized as the go-to technical expert for code gen domain</li>
<li>Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams</li>
<li>Played a crucial role in helping recruit, interview and mentor new team members</li>
</ul>
<p></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>Req ID: 425546</p><div><div><div><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>MongoDB’s base salary range for this role in Canada is:</div><div><span>$159,000</span><span>—</span><span>$221,000 CAD</span></div></div></div>

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