Product Management Intern

Product Management Intern at MongoDB

We are seeking motivated and talented students to contribute to building the next-generation database platform. As a Product Management Intern on the query team, you will be responsible for engaging with customers, understanding their challenges and requirements, and synthesizing these insights to guide our product decisions. You will be fully integrated into the team, helping to understand and analyze users’ needs and pain points, and advocating on their behalf. This role involves mining various data sources and collaborating with engineers and designers to translate technical constraints into new product requirements and enhanced user experiences. You will also refine and effectively communicate the product strategy to relevant stakeholders.

The Query Team at MongoDB

The Query team is at the heart of MongoDB, building the core engine that powers billions of single-digit millisecond queries for the most demanding workloads. We focus on analyzing and implementing advanced algorithms necessary to efficiently answer a wide range of queries, including those for joining, sorting, indexing, and scanning data. Drawing inspiration from academic domains like databases, algorithms, and systems, combined with our team's creativity, we develop novel solutions to construct a query engine that supports real-world workloads, from burgeoning startups to Fortune 500 companies.

Beyond developing the core engine, we also maintain the MongoDB Query Language and create essential tools that enable customers to understand and debug slow queries.

What we are looking for in you

• Currently pursuing a Bachelor’s or Master's degree in Computer Science, Computer Engineering, Applied Sciences, or a related field.
• Technical skills: While not expected to write production code, you should be comfortable delving into design and code, learning from existing examples, exploring APIs, triaging bugs, analyzing support cases, and articulating any technical aspects of the tools in your portfolio.
• Excellent communication skills, both verbal and written.
• Curious, with a strong desire to learn and adapt; you are a self-starter who thrives in ambiguous environments.
• Must have a minimum of one quarter/semester remaining in university studies after the internship concludes, with a graduation date in Spring 2027 or Summer 2027.
• Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested.

What you'll find at MongoDB

• Authentic Culture: A workplace that encourages you to bring your whole self to work, valuing diversity as a catalyst for innovation and broadened perspectives.
• Personalized Mentorship: You will be paired with a Product Management Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to support your growth.
• Career Coaching Sessions: Access to a tailored training program specifically designed for interns’ personal and professional development.
• Work-Life Harmony: Embrace "Bloom for Interns" with access to mental and physical health benefits, paid time off, free lunch, and more!
• Impactful Projects: Contribute to meaningful projects where your work will see the light of day, allowing you to Make it Matter.
• Exclusive Networking: Opportunities to attend "Speaker Series" and "Get2Knows" to connect with executives and departmental leaders.
• Vibrant Community: Build connections with fellow interns through after-work social events, virtual gatherings, and local city activities.
• Relocation Support: Housing assistance to help you comfortably settle into your new location.
• Path to Full-Time: A chance to explore a long-term career at MongoDB, with the possibility of receiving a full-time offer upon completion of your internship.

MongoDB internships are full-time (40 hours/week) for 10 consecutive weeks, typically running from 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.

About MongoDB

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!

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.

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 is an equal opportunities employer.

Key skills/competency

• Product Management
• Customer Research
• Data Analysis
• Technical Acumen
• Communication Skills
• Problem Solving
• Database Systems
• Algorithm Design
• Query Language (MongoDB)
• Stakeholder Management