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We’re seeking motivated and talented students to help us build the next-generation database platform. As a Product Management Intern at MongoDB, you will work closely with our product managers, user experience designers, and software engineers to bring impactful ideas to life. You will be fully integrated into the team, analyzing user needs, identifying pain points, and advocating for customer-centric solutions. You will draw insights from data, explore technical possibilities with engineers and designers, and translate those learnings into clear product requirements and engaging user experiences. Along the way, you will help shape and communicate product strategy to stakeholders across the organization.
We’re excited to offer Product Management internship opportunities across a few teams at MongoDB. Each team focuses on a different part of our product, giving interns the chance to contribute to meaningful projects and learn from experienced product managers.
Learn more about the teams below:
Atlas PM: The team ensures the lifecycle, reliability, and performance of the Atlas data plane. We build the machinery that orchestrates safe hardware and software rollouts, enabling rapid feature delivery while maintaining stability. Simultaneously, we develop intelligent systems to detect and manage customer workloads through auto-scaling, performance tuning, and auto-healing. Underpinning all operations is our commitment to resilience and recovery, ensuring we can respond to health issues, restore availability, and strictly guarantee data durability.
Query PM: The Query Team at MongoDB is responsible for designing, building, and optimizing the core query execution engine and related systems that power data retrieval and manipulation across MongoDB's database platform. This includes developing the query planner and optimizer that translates user queries into efficient execution plans, implementing the runtime execution engine that processes queries against various storage engines, and creating sophisticated indexing strategies and data structures that enable fast data access at scale.
Search and AI PM: The Search and AI Team at MongoDB is responsible for designing, building, and scaling the retrieval infrastructure that powers AI-native applications on the MongoDB platform. This includes developing Atlas Vector Search—the semantic search engine that enables similarity matching over high-dimensional embeddings—building full-text search capabilities powered by Lucene, and creating the indexing and query semantics that let developers combine vector, keyword, and structured filters into unified retrieval pipelines. The team sits at the intersection of traditional database systems and modern AI workflows, enabling use cases from RAG-based chatbots to recommendation engines to multimodal search.
What we are looking for in you
What you'll find at MongoDB
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.
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.
About Us
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.
With offices worldwide and nearly 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.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
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 Early Talent Recruiter.
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.
Req ID: 426002
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.
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MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world's most sophisticated organizations, from cutting-edge startups to the largest companies, use MongoDB to create applications never before possible at a fraction of the cost of legacy databases. MongoDB is the fastest-growing database ecosystem, with over 30 million downloads, thousands of customers, and over 1,000 technology and service partners. Learn more at www.mongodb.com.
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