Senior Product Security Engineer — AI/LLM & Production Security

United States Digital Space LLC

United States

Remote

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

United States Digital Space LLC is seeking a Senior Product Security Engineer to partner with product and engineering teams to make what we ship safe by default. You will split time between building production security services and reviewing designs before code exists, ensuring security is baked in from design to deployment.

You’ll own the product security outcomes for one or more business units, tackling AI/LLM security, threat modeling, and hands-on validation across TS, Node.js, .NET, and

Qualifications

  • Ship production code with strong backend engineering in at least one modern language.

Responsibilities

  • Adversarially test AI/LLM-backed features and turn findings into criteria.
  • Build and operate production security services (APIs, streaming, CLI/Chat).
  • Automate manual tasks and reduce repetitive work.
  • Review PR vulnerability findings and triage high-risk changes.
  • Threat model from product designs and data flows before code exists.
  • Manual testing of web apps and APIs and retest fixes.
  • Maintain AppSec tooling estate and secure CI/CD.
  • Secure infrastructure with IAM, secrets, and IaC practices.
  • Enable engineers with security training and docs.
  • Evaluate security tools and define AI security bar.
  • Support investigations, threat hunting, and incident response.

Skills

Backend engineering
TypeScript
Node.js
.NET
Python
Adversarial testing
LLM security
Threat modeling
Manual testing
AWS
Infrastructure as code

Tools

SAST tooling
SCA tooling
CI/CD tooling

Job description

United States Digital Space LLC is seeking a Senior Product Security Engineer to partner with product and engineering teams to make what we ship safe by default. You will split time between building production security services and reviewing designs before code exists, ensuring security is baked in from design to deployment.

You’ll own the product security outcomes for one or more business units, tackling AI/LLM security, threat modeling, and hands-on validation across TS, Node.js, .NET, and

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