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

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Big Data • Cloud • Software • Database
Design, build, and maintain scalable Salesforce CRM solutions including custom development, automation, integrations, CI/CD, and production support. Partner with stakeholders to translate requirements, drive engineering best practices, troubleshoot complex issues, mentor junior staff, and improve platform governance, performance, and long-term scalability.
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Remote or Hybrid
United States
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Big Data • Cloud • Software • Database
Leads MongoDB’s global brand strategy, visual identity, creative expression, and integrated marketing campaigns. Oversees multidisciplinary creative teams, develops brand systems and narrative-driven experiences, partners with executive and cross-functional stakeholders, and manages budgets, timelines, vendors, and performance metrics. The role drives brand differentiation, customer engagement, and business outcomes across digital, video, events, product experiences, social, paid media, and print while fostering creative excellence and innovation.
YesterdaySaved
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Remote or Hybrid
United States
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Big Data • Cloud • Software • Database
Own and enhance MongoDB’s Pigment financial planning platform in partnership with IT. Build and maintain models for forecasting, workforce planning, consolidation, and allocations; manage roadmap prioritization, governance, integrations, vendors, documentation, and stakeholder enablement. Improve model performance and usability, evaluate AI and automation opportunities, and translate finance requirements into scalable systems. The role requires strong FP&A expertise, hands-on Pigment administration, project management, and cross-functional communication.