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Sr Security Architecture Manager

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Doist
Full Time position
Listed on 2026-08-10
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why

join Coupa?
  • Pioneering Technology:
    At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
  • Collaborative Culture:
    We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
  • Global Impact:
    Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of a Sr Security Architecture Manager at Coupa:

We are seeking a highly skilled and visionary Security Architect to lead the design and implementation of robust security frameworks, with a dedicated focus on protecting our Artificial Intelligence (AI) and Machine Learning (ML) ecosystems.

The ideal candidate will bridge the gap between traditional security architecture and the evolving landscape of AI-driven innovation, ensuring that business requirements are translated into secure, resilient, and ethical architectural designs.

This role requires a sophisticated analytical mind and the ability to advocate for security-by-design across data science and engineering teams.

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