Staff Security Engineer, AI (Enterprise Marketing Platform)
ScrumAID
Seattle, WA · Posted November 1, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about security jobs
- Best cities for security jobs #1 San Francisco (316 openings)
- Best cities for security pay after cost of living #1 San Mateo ($241k)
- Most requested AI skills in security jobs #1 AI tools in daily work (10.8%)
- Employers with the most security jobs #1 Amazon (318 roles)
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
A startup building an AI-native work platform for enterprise marketing teams wants its first security engineer. The hire reports to the engineering VP and takes charge of security for both the product and the platform, start to finish. The job is engineering work with a security emphasis rather than a monitoring or operations function.
What you’ll own
Secure the cloud environment, Kubernetes clusters and identity and access management for a platform of AI agents used by very large brands
Establish a secure software development lifecycle and build the tooling to support it
Write the code and infrastructure for security work yourself instead of delegating it
Anticipate AI-specific threats, including prompt injection in agent-based systems
Influence engineering decisions across teams and explain tradeoffs to non-technical colleagues
About you
Five to sixteen years as a software or security engineer, at senior or staff level, having owned security for complex production systems in the cloud
Application security depth plus Terraform or other infrastructure as code, with Kubernetes and IAM expertise
Proof that you personally built and shipped the security work you describe
Working knowledge of LLMs and their risks
Comfort being a hands-on individual contributor with no existing security team
Not a fit: backgrounds purely in SOC, SIEM, endpoint or compliance work without software engineering
On-site in Seattle. Unable to sponsor or transfer visas, so existing US work authorization is required.