MongoDB Offices

MongoDB is headquartered in New York and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible

U.S. Office Locations

HQ

New York

1633 Broadway, 38th Floor, New York, NY, United States, 10019

Austin

3711 S MoPac Expy, Austin, TX, United States, 78735

Palo Alto

499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301

San Francisco

88 Kearny Street, San Francisco, CA, United States, 94108

Recently posted jobs

6 Days AgoSaved
Easy Apply
Remote or Hybrid
13 Locations
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Big Data • Cloud • Software • Database
Build AI-powered applications for enterprise customers using Generative AI, LLMs, MongoDB, and modern software architectures. Responsibilities include refactoring applications, migrating legacy databases, optimizing performance, developing microservices and intelligent automation, supporting AI adoption, and influencing product strategy. The role collaborates with engineering, product, and customer teams to deliver scalable solutions and requires substantial enterprise software engineering experience.
12 Days AgoSaved
Easy Apply
Remote or Hybrid
3 Locations
Easy Apply
Big Data • Cloud • Software • Database
Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.
16 Days AgoSaved
Easy Apply
Remote or Hybrid
3 Locations
Easy Apply
Big Data • Cloud • Software • Database
Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.