Companies Coupa

Coupa

Foster City

Total Offices: 4

3,000 Total Employees

Year Founded: 2006

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AI & Machine Learning 4 Engineering 4 Sales 2 Consulting 1 Product Management 1

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Coupa Offices

Coupa is headquartered in Foster City and has 4 office locations.

Hybrid Workplace

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

Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend

Typical time on-site: Flexible

U.S. Office Locations

HQ Foster City Ann Arbor Boston Chicago

950 Tower Ln, Foster City, California, United States, 94404 2121

200 S 1st. , Ann Arbor, Michigan, United States, 48103

53 State Street Suite 1205, Boston, MA, United States, 02109

350 N. Orleans St, Chicago, IL, United States, 60654

Recently posted jobs

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Coupa

Sr. Director, Data Science - 11572

3 Days AgoSaved

Hybrid

Foster City, CA, USA

Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI

Lead the development and governance of AI systems at Coupa, driving excellence in model performance and MLOps while mentoring a team of data scientists and ML engineers.

Coupa

Principal Engineer, AI/ML Architecture - 11310

5 Days AgoSaved

Hybrid

Foster City, CA, USA

Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI

The Principal Engineer, AI/ML Architecture will define the technical direction for Coupa's AI platform, focusing on model training, evaluation, safety standards, and mentoring a team of ML and data engineers.

Coupa

Sr Director, AI Platform Engineering - 11309

5 Days AgoSaved

Hybrid

Foster City, CA, USA

Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI

Lead strategy and delivery for Coupa's AI platform, expanding model training, serving, and data infrastructure. Build and manage distributed ML, data engineering, and platform teams across the US and India, manage vendor partnerships and budgets, ensure data safety and responsible AI, and present results to executive stakeholders.

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