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MongoDB

Product Management Intern

Posted Yesterday
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Hybrid
Gurugram, Haryana
Internship
Easy Apply
Hybrid
Gurugram, Haryana
Internship
The Product Management Intern will optimize SaaS applications, develop strategic roadmaps, and enhance internal product management efficiency and security.
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MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

We’re seeking a Product Management Intern to help shape the future of internal technology at MongoDB. In this role, you'll play a key part in optimizing the value of SaaS applications, eliminating redundancies, and developing strategic roadmaps for internal product management to drive greater efficiency and security across our global workforce.

What we are looking for in you

  • In the process of receiving a Bachelor’s or Master's degree in Computer Science, Engineering, Management Information Systems, or an equivalent field.  
  • Strong analytical and organizational skills, with the ability to assess and optimize technology stacks and internal processes.
  • Interest in internal product management and internal technology, particularly in evaluating SaaS applications to improve efficiency, cost-effectiveness, and scalability.
  • Demonstrated ability to lead projects or initiatives, whether through coursework, internships, clubs, or similar experiences.
  • A collaborative mindset with the ability to gather stakeholder input, translate feedback into actionable insights, and drive process improvements.
  • Passion for technology, innovation, and internal product strategy, with a proactive approach to problem-solving and process optimization.
  • Leverage data and analytics to track system performance, measure success, and make informed decisions on product changes or enhancements.
  • Strong written and verbal communication skills, with the ability to effectively engage technical and non-technical stakeholders.
  • Have a minimum of one quarter/semester remaining in university studies after the internship concludes.

What you'll find at MongoDB

  • 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.
  • Personalized Mentorship: Pair up with a PM Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to foster your growth.
  • Career Coaching Sessions: Access to "MonGROWDB", a tailored training program designed uniquely for interns’ personal and professional development.
  • Work-Life Harmony: Embrace "Bloom for Interns" with access to mental health benefits, paid time off (2 vacation days and 2 company holidays), free lunch, and more!
  • Impactful Projects: Contribute to projects where you can Make it Matter - your meaningful work will see the light of day.
  • Exclusive Networking: Attend "Speaker Series" and "Roundtables" to connect with our executives and departmental leaders.
  • Vibrant Community: Build connections with fellow interns and join after-work social events, virtual gatherings, and local city activities to create connections and friendships.

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.


Req ID: 4263289644

Top Skills

Data Analytics
Saas Applications

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