MongoDB Careers logo

MongoDB Careers

A developer data platform company providing cloud and self-managed database products.

mongodb.com

About the company

Legal name

MongoDB, Inc.

Incorporated

November 2007 as 10Gen, Inc.

Renamed

MongoDB, Inc. in August 2013

Headquarters

New York City, United States

Industry

Database software and cloud services

Listed on

Nasdaq: MDB

Revenue (FY2026)

$2.4638 billion

Employees (FY2026)

5,636

Customers (FY2026)

Over 65,200

MongoDB, Inc. is a developer data platform company headquartered in New York City. It was incorporated as 10Gen, Inc. in November 2007 and changed its name to MongoDB, Inc. in August 2013.

Its platform is built around a general-purpose document database. Organizations can deploy MongoDB in the cloud, on premises or in hybrid environments, while MongoDB Atlas provides the company's managed cloud offering.

MongoDB reported $2.4638 billion in revenue for the fiscal year ended January 31, 2026. It had 5,636 employees and more than 65,200 customers at that date.

Key People

Chirantan "CJ" Desai

President and Chief Executive Officer

Mike Berry

Chief Financial Officer

Jim Scharf

Chief Technology Officer

Andrew Stephens

Chief Legal Officer

Interview process at MongoDB

(18 AmbitionBox interview experiences)

Interview experience

2.89 out of 5

Interview difficulty

Mostly moderate (81.8%)

Interview process length

Most often 2 to 4 weeks (63.6%)

Overall experience

PoorExcellent

Prep for your MongoDB interview with AI

Practise database design, troubleshooting and customer-facing explanations.

MongoDB Interview Questions & Answers

Q: Design your own distributed database.

A: Begin with requirements and consistency goals, then cover partitioning, replication, consensus, transactions, failure recovery and observability.

Answer by AI
  • State scale and consistency assumptions.
  • Explain data placement and replication.
  • Walk through node and network failures.

Q: Design the database schema for a movie-booking application.

A: Model cinemas, screens, shows, seats, holds, bookings and payments, with constraints that prevent double booking under concurrency.

Answer by AI
  • Identify entities and access patterns.
  • Protect seat inventory atomically.
  • Plan indexes and expiry for holds.

Q: How would you scale a database across India?

A: Discuss regional topology, latency, data locality, replication, sharding, disaster recovery and how consistency requirements affect placement.

Answer by AI
  • Quantify latency and availability goals.
  • Choose shard keys from access patterns.
  • Address residency and failover.

Q: What is the difference between sharding and partitioning?

A: Partitioning divides data into logical pieces, while sharding commonly refers to distributing those pieces across separate database nodes or clusters.

Answer by AI
  • Define both terms first.
  • Use one concrete example.
  • Discuss routing and rebalancing.

Prep for your MongoDB interview with AI

Practise database design, troubleshooting and customer-facing explanations.

MongoDB Salaries in India (Updated 2026)

Technical Service Engineer

5 to 10 years

₹27.4L to ₹30.3L per year

41 Salaries submitted

Senior Data Analyst

3 to 9 years

₹20.2L to ₹25.1L per year

40 Salaries submitted

TSE

9 to 10 years

₹29.6L to ₹32.7L per year

35 Salaries submitted

Consultant Engineer

5 to 10 years

₹34.0L to ₹40.4L per year

34 Salaries submitted

Data Analyst

5 to 6 years

₹17.1L to ₹23.4L per year

30 Salaries submitted

Solution Architect

6 to 10 years

₹35.8L to ₹40.2L per year

20 Salaries submitted

Know your worth at MongoDB

Compare role scope, experience, location and total compensation before you decide.

Build a standout resume with AI

Connect your database, customer or product work to the role's stated outcomes.

Benefits

Office cab/shuttle
Cafeteria
Free meal
Child care facility
Office gym
Job/Soft skill training
International/On-site exposure
Professional degree assistance
Health insurance
Annual leaves
Relocation bonus

Latest News & Updates

June 30, 2026

MongoDB expands accurate AI retrieval across deployment models

New Voyage AI capabilities and search for private cloud and on-premises environments target accurate, compliant enterprise AI applications.

#AI #Search

View post

May 28, 2026

MongoDB reports first-quarter fiscal 2027 results

Revenue reached $687.6 million, up 25% year over year, while the company raised its full-year fiscal 2027 guidance.

#Earnings #Growth

View post

May 7, 2026

MongoDB makes enterprise AI production ready

The company announced native embeddings generation, persistent agent memory and real-time operational data capabilities at MongoDB.local London.

#EnterpriseAI #Atlas

View post

April 23, 2026

MongoDB announces Ireland expansion and new Cork office

MongoDB announced a €74 million investment intended to add 200 jobs and expand engineering and AI development in Ireland.

#Ireland #Jobs

View post

April 22, 2026

MongoDB expands product leadership

Pablo Stern joined as Chief Product Officer for AI and Emerging Products, while Ben Cefalo became Chief Product Officer for Core Products.

#Leadership #Product

View post

MongoDB FAQ

MongoDB, Inc. is a developer data platform company whose products are built around a document database.