BlackLine

HQ
Los Angeles, California, USA
Total Offices: 4
1,810 Total Employees
Year Founded: 2001
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Offices at BlackLine

BlackLine is headquartered in Los Angeles, California, USA and has 4 office locations.

Hybrid Workplace

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

BlackLine recognizes that the ways we work and the workplace itself has shifted. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week.

Typical time on-site: 2 days a week

U.S. Office Locations

HQ Los Angeles, California, USA New York, New York, USA Pleasanton, California, USA Westport, Connecticut, USA
HQ
Los Angeles, California, USA
Woodland Hills

BlackLine’s headquarters feature open work stations, informal lounge areas, a game room, a music room, quiet pods, training areas, and more.

New York, New York, USA

250 West 34th Street, New York, NY, United States, 10119

Pleasanton, California, USA

4301 Hacienda Drive, Pleasanton, CA, United States, 94588

Westport, Connecticut, USA

One Morningside Drive North, Westport, CT, United States, 06880

Recently posted jobs

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BlackLine

DevOps Engineer

4 Days AgoSaved
Remote or Hybrid
New York, NY, USA
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Responsible for building, securing, and operating systems for WiseLayer's production environment, including CI/CD pipelines, cloud services, and security hardening initiatives.
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Senior Director of Customer Adoption Marketing will lead strategies for customer adoption, advocacy, and expansion, collaborating across functions to drive value realization and organizational growth.
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BlackLine

Staff Software Engineer, AI

9 Days AgoSaved
Remote or Hybrid
New York, NY, USA
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
As an AI Staff Engineer at BlackLine, you'll develop and refine AI features, collaborate on integrating solutions, and enhance AI capabilities for financial applications, requiring extensive experience with LLMs and production systems.
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