Senior Product Security Architect for AI & Cloud

100 Salesforce, Inc.

Bellevue (WA)

On-site

USD 173,000 - 314,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)
Employee stock purchase program
Parental leave

Job summary

Salesforce is seeking a Principal Engineer, Product Security to lead security strategy for several high-growth cloud units. You will review architecture, model threats, and advise leadership on risk while rolling out scalable security programs.

This hands-on role covers multi-tenant SaaS, GovCloud, and regulated deployments, requiring deep expertise in Application, Cloud, and Data Security to protect AI features and data assets across the platform.

Qualifications

  • 7-10+ years of hands-on experience in a Product Security, Application Security, or Security Architecture role.
  • Demonstrated experience across Application Security, Cloud Security, and Data Security, including how these domains interact in practice.
  • A track record of building and scaling a security program from the ground up, documented through specific projects you led.
  • Experience reviewing source code and complex data architectures as part of a security assessment.

Responsibilities

  • Define and execute end-to-end product security strategy for assigned business units.
  • Conduct architecture reviews and threat models for cloud environments and data platforms.
  • Review code and data flows to identify vulnerabilities and design flaws.
  • Advise engineering leadership on security risk and GA readiness.

Skills

Product Security
Application Security
Security Architecture
Cloud Security
Data Security
Threat modeling

Job description

Salesforce is seeking a Principal Engineer, Product Security to lead security strategy for several high-growth cloud units. You will review architecture, model threats, and advise leadership on risk while rolling out scalable security programs.

This hands-on role covers multi-tenant SaaS, GovCloud, and regulated deployments, requiring deep expertise in Application, Cloud, and Data Security to protect AI features and data assets across the platform.

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