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Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!

MongoDB

Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!

internshipPosted: Feb 6, 2026

Job Description

Role Overview

Join MongoDB as a Product Management Intern in 2026 and dive into the heart of the modern developer data platform. Based in New York City, New York or San Francisco, California, you'll work with world-class product managers, UX designers, and engineers to build the next-generation MongoDB Atlas platform. This internship offers hands-on experience across specialized teams like Atlas PM, Query PM, and Search & AI PM, focusing on NoSQL innovation, query optimization, vector search, and AI-native applications.

MongoDB powers millions of applications worldwide with its flexible document model, scalable cloud services, and cutting-edge AI capabilities. As an intern, you'll analyze user needs, tackle pain points, and ship features that ensure data reliability, performance, and resilience. Perfect for Computer Science students graduating in Fall 2026 or Spring 2027, this role demands technical curiosity, communication skills, and a passion for thriving in ambiguity.

Key Responsibilities at MongoDB

  • Analyze user needs: Dive deep into customer feedback, support cases, and usage data to identify pain points and opportunities for MongoDB Atlas improvements.
  • Collaborate cross-functionally: Partner with product managers, engineers, and designers to explore technical feasibility for query engines, auto-scaling, and vector search features.
  • Draw data insights: Leverage analytics to inform product decisions on performance tuning, auto-healing, and data durability guarantees.
  • Define product requirements: Translate complex learnings into clear specs, user stories, and roadmaps for Atlas data plane, query optimizer, or AI retrieval pipelines.
  • Shape product strategy: Communicate visions and priorities to stakeholders, advocating for customer-centric NoSQL solutions.
  • Triase bugs and APIs: Explore MongoDB APIs, debug issues, and contribute to full-text search powered by Lucene or semantic similarity matching.
  • Build AI features: Support RAG-based chatbots, recommendation engines, and multimodal search on the MongoDB platform.
  • Optimize queries: Assist in query planner development, indexing strategies, and runtime execution for scalable data access.
  • Ensure resilience: Contribute to hardware/software rollouts, recovery systems, and intelligent workload management.

Qualifications & Requirements

To succeed as a Product Management Intern at MongoDB, you need:

  • Pursuing a Bachelor’s or Master’s in Computer Science, Computer Engineering, Applied Sciences, or related field.
  • Technical comfort: Dive into code logic, APIs, bug triaging, and support analysis without writing production code.
  • Excellent communication: Verbal and written skills to articulate ideas and strategies.
  • Self-starter mindset: Thrive in ambiguity, learn quickly, and adapt to fast-paced environments.
  • Academic timeline: At least one quarter/semester left post-internship; graduation Fall 2026/Spring 2027.
  • U.S. work authorization required; sponsorship may be available for eligible roles.

Salary & Benefits

Earn a competitive intern salary ranging from $7,000 to $11,000 monthly, based on location and experience in high-demand tech hubs like New York City and San Francisco. MongoDB offers unparalleled perks:

  • Competitive Equity: Ownership in the company driving the NoSQL revolution.
  • Wellness Programs: Mental and physical health benefits via 'Bloom for Interns'.
  • MongoDB University: Free access to world-class training on Atlas, queries, and AI.
  • Global Family Leave: Comprehensive support for life’s big moments.
  • Mentorship Trio: Mentor, Program Advisor, and ERG Guide for growth.
  • Career Coaching: Tailored sessions for interns.
  • Free Lunch & PTO: Work-life harmony essentials.
  • Networking: Speaker Series with executives and roundtables.
  • Impactful Work: Ship real features to production.

Why Join MongoDB?

MongoDB isn't just a database—it's the modern developer data platform powering Netflix, Adobe, and Forbes. Our authentic culture embraces differences for innovation. Interns get meaningful projects across Atlas PM (reliability & auto-scaling), Query PM (execution engines & indexing), and Search & AI PM (Vector Search, Lucene, RAG). Build resilience for data durability, optimize queries at scale, or enable AI apps with unified pipelines. Locations in New York City and San Francisco put you at the epicenter of tech. With 1200+ words of opportunity, this is your chance to make it matter at MongoDB.

Thrive in a vibrant community, connect via ERGs, and accelerate your career. MongoDB's flexible document model, cloud-native Atlas, and AI integrations set us apart in NoSQL. Join teams ensuring safe rollouts, intelligent systems, and semantic search mastery.

How to Apply

Ready to shape the future of databases? Apply now for the 2026 Product Management Intern role at MongoDB. Submit your resume, transcript, and a note on why MongoDB excites you. U.S. authorization required. Don't miss this—spots fill fast for Summer 2026 in NYC or SF!

Locations

  • New York City, New York, United States
  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

7,350 - 12,100 USD / monthly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Product Managementintermediate
  • MongoDB Atlasintermediate
  • NoSQL Databasesintermediate
  • Query Optimizationintermediate
  • Vector Searchintermediate
  • AI-Native Applicationsintermediate
  • User Experience Designintermediate
  • Data Analysisintermediate
  • Technical Documentationintermediate
  • Stakeholder Communicationintermediate
  • Agile Methodologiesintermediate
  • Customer Researchintermediate
  • API Explorationintermediate
  • Performance Tuningintermediate
  • RAG Pipelinesintermediate

Required Qualifications

  • Pursuing Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Applied Sciences, or related field (experience)
  • Comfortable analyzing design and code logic, exploring APIs, triaging bugs, and discussing technical aspects (experience)
  • Strong verbal and written communication skills (experience)
  • Curious self-starter who thrives in ambiguous environments with desire to learn and adapt (experience)
  • Minimum one quarter/semester remaining after internship (graduation Fall 2026 or Spring 2027) (experience)
  • Authorized to work in the United States (experience)

Responsibilities

  • Analyze user needs and identify pain points for customer-centric solutions
  • Draw insights from data to inform product decisions
  • Collaborate with engineers and designers to explore technical possibilities
  • Translate learnings into clear product requirements and user experiences
  • Shape and communicate product strategy to organizational stakeholders
  • Contribute to Atlas data plane lifecycle, reliability, and performance features
  • Assist in building query execution engines, planners, and optimizers
  • Support development of Atlas Vector Search and AI retrieval infrastructure
  • Work on full-text search, indexing, and unified query pipelines for AI apps

Benefits

  • general: Competitive Equity and compensation package
  • general: Personalized Mentorship with dedicated Program Advisor
  • general: Career Coaching Sessions and tailored training programs
  • general: MongoDB University access for professional development
  • general: Work-Life Harmony with mental and physical health benefits
  • general: Paid time off and free lunch programs
  • general: Global Family Leave and wellness programs
  • general: Exclusive Speaker Series and executive networking roundtables
  • general: Employee Resource Groups for diversity and inclusion
  • general: Impactful projects that ship to production

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MongoDBProduct ManagementInternshipNoSQLAtlasAIQueryVector SearchNew York CitySan FranciscoMongoDB Product Management Intern 2026Product Manager Internship New York CityMongoDB Atlas PM Intern San FranciscoNoSQL Product Management CareersQuery Optimization Intern MongoDBAtlas Vector Search InternshipAI Native Database Product InternMongoDB Internships Computer ScienceProduct Management NoSQL New YorkDatabase Platform Intern San FranciscoRAG Pipeline Product InternMongoDB Query Engine InternshipSummer 2026 Tech Internships NYCMongoDB Careers Product ManagementVector Search Product InternFull Text Search Lucene InternIntern

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MongoDB logo

Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!

MongoDB

Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!

internshipPosted: Feb 6, 2026

Job Description

Role Overview

Join MongoDB as a Product Management Intern in 2026 and dive into the heart of the modern developer data platform. Based in New York City, New York or San Francisco, California, you'll work with world-class product managers, UX designers, and engineers to build the next-generation MongoDB Atlas platform. This internship offers hands-on experience across specialized teams like Atlas PM, Query PM, and Search & AI PM, focusing on NoSQL innovation, query optimization, vector search, and AI-native applications.

MongoDB powers millions of applications worldwide with its flexible document model, scalable cloud services, and cutting-edge AI capabilities. As an intern, you'll analyze user needs, tackle pain points, and ship features that ensure data reliability, performance, and resilience. Perfect for Computer Science students graduating in Fall 2026 or Spring 2027, this role demands technical curiosity, communication skills, and a passion for thriving in ambiguity.

Key Responsibilities at MongoDB

  • Analyze user needs: Dive deep into customer feedback, support cases, and usage data to identify pain points and opportunities for MongoDB Atlas improvements.
  • Collaborate cross-functionally: Partner with product managers, engineers, and designers to explore technical feasibility for query engines, auto-scaling, and vector search features.
  • Draw data insights: Leverage analytics to inform product decisions on performance tuning, auto-healing, and data durability guarantees.
  • Define product requirements: Translate complex learnings into clear specs, user stories, and roadmaps for Atlas data plane, query optimizer, or AI retrieval pipelines.
  • Shape product strategy: Communicate visions and priorities to stakeholders, advocating for customer-centric NoSQL solutions.
  • Triase bugs and APIs: Explore MongoDB APIs, debug issues, and contribute to full-text search powered by Lucene or semantic similarity matching.
  • Build AI features: Support RAG-based chatbots, recommendation engines, and multimodal search on the MongoDB platform.
  • Optimize queries: Assist in query planner development, indexing strategies, and runtime execution for scalable data access.
  • Ensure resilience: Contribute to hardware/software rollouts, recovery systems, and intelligent workload management.

Qualifications & Requirements

To succeed as a Product Management Intern at MongoDB, you need:

  • Pursuing a Bachelor’s or Master’s in Computer Science, Computer Engineering, Applied Sciences, or related field.
  • Technical comfort: Dive into code logic, APIs, bug triaging, and support analysis without writing production code.
  • Excellent communication: Verbal and written skills to articulate ideas and strategies.
  • Self-starter mindset: Thrive in ambiguity, learn quickly, and adapt to fast-paced environments.
  • Academic timeline: At least one quarter/semester left post-internship; graduation Fall 2026/Spring 2027.
  • U.S. work authorization required; sponsorship may be available for eligible roles.

Salary & Benefits

Earn a competitive intern salary ranging from $7,000 to $11,000 monthly, based on location and experience in high-demand tech hubs like New York City and San Francisco. MongoDB offers unparalleled perks:

  • Competitive Equity: Ownership in the company driving the NoSQL revolution.
  • Wellness Programs: Mental and physical health benefits via 'Bloom for Interns'.
  • MongoDB University: Free access to world-class training on Atlas, queries, and AI.
  • Global Family Leave: Comprehensive support for life’s big moments.
  • Mentorship Trio: Mentor, Program Advisor, and ERG Guide for growth.
  • Career Coaching: Tailored sessions for interns.
  • Free Lunch & PTO: Work-life harmony essentials.
  • Networking: Speaker Series with executives and roundtables.
  • Impactful Work: Ship real features to production.

Why Join MongoDB?

MongoDB isn't just a database—it's the modern developer data platform powering Netflix, Adobe, and Forbes. Our authentic culture embraces differences for innovation. Interns get meaningful projects across Atlas PM (reliability & auto-scaling), Query PM (execution engines & indexing), and Search & AI PM (Vector Search, Lucene, RAG). Build resilience for data durability, optimize queries at scale, or enable AI apps with unified pipelines. Locations in New York City and San Francisco put you at the epicenter of tech. With 1200+ words of opportunity, this is your chance to make it matter at MongoDB.

Thrive in a vibrant community, connect via ERGs, and accelerate your career. MongoDB's flexible document model, cloud-native Atlas, and AI integrations set us apart in NoSQL. Join teams ensuring safe rollouts, intelligent systems, and semantic search mastery.

How to Apply

Ready to shape the future of databases? Apply now for the 2026 Product Management Intern role at MongoDB. Submit your resume, transcript, and a note on why MongoDB excites you. U.S. authorization required. Don't miss this—spots fill fast for Summer 2026 in NYC or SF!

Locations

  • New York City, New York, United States
  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

7,350 - 12,100 USD / monthly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Product Managementintermediate
  • MongoDB Atlasintermediate
  • NoSQL Databasesintermediate
  • Query Optimizationintermediate
  • Vector Searchintermediate
  • AI-Native Applicationsintermediate
  • User Experience Designintermediate
  • Data Analysisintermediate
  • Technical Documentationintermediate
  • Stakeholder Communicationintermediate
  • Agile Methodologiesintermediate
  • Customer Researchintermediate
  • API Explorationintermediate
  • Performance Tuningintermediate
  • RAG Pipelinesintermediate

Required Qualifications

  • Pursuing Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Applied Sciences, or related field (experience)
  • Comfortable analyzing design and code logic, exploring APIs, triaging bugs, and discussing technical aspects (experience)
  • Strong verbal and written communication skills (experience)
  • Curious self-starter who thrives in ambiguous environments with desire to learn and adapt (experience)
  • Minimum one quarter/semester remaining after internship (graduation Fall 2026 or Spring 2027) (experience)
  • Authorized to work in the United States (experience)

Responsibilities

  • Analyze user needs and identify pain points for customer-centric solutions
  • Draw insights from data to inform product decisions
  • Collaborate with engineers and designers to explore technical possibilities
  • Translate learnings into clear product requirements and user experiences
  • Shape and communicate product strategy to organizational stakeholders
  • Contribute to Atlas data plane lifecycle, reliability, and performance features
  • Assist in building query execution engines, planners, and optimizers
  • Support development of Atlas Vector Search and AI retrieval infrastructure
  • Work on full-text search, indexing, and unified query pipelines for AI apps

Benefits

  • general: Competitive Equity and compensation package
  • general: Personalized Mentorship with dedicated Program Advisor
  • general: Career Coaching Sessions and tailored training programs
  • general: MongoDB University access for professional development
  • general: Work-Life Harmony with mental and physical health benefits
  • general: Paid time off and free lunch programs
  • general: Global Family Leave and wellness programs
  • general: Exclusive Speaker Series and executive networking roundtables
  • general: Employee Resource Groups for diversity and inclusion
  • general: Impactful projects that ship to production

Target Your Resume for "Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!" , MongoDB

Get personalized recommendations to optimize your resume specifically for Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Product Management Intern Careers at MongoDB - New York City, New York | Apply Now!" , MongoDB

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MongoDBProduct ManagementInternshipNoSQLAtlasAIQueryVector SearchNew York CitySan FranciscoMongoDB Product Management Intern 2026Product Manager Internship New York CityMongoDB Atlas PM Intern San FranciscoNoSQL Product Management CareersQuery Optimization Intern MongoDBAtlas Vector Search InternshipAI Native Database Product InternMongoDB Internships Computer ScienceProduct Management NoSQL New YorkDatabase Platform Intern San FranciscoRAG Pipeline Product InternMongoDB Query Engine InternshipSummer 2026 Tech Internships NYCMongoDB Careers Product ManagementVector Search Product InternFull Text Search Lucene InternIntern

Answer 10 quick questions to check your fit for Product Management Intern Careers at MongoDB - New York City, New York | Apply Now! @ MongoDB.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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