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Dome Systems

Enterprise AI agent governance platform

Product Engineer - Security

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA

About the Job

Requirements

  • You have built authentication or authorization systems in production, ideally for enterprise customers with complex requirements.
  • You understand identity protocols including OAuth, OIDC, and SAML, and can reason about their trade-offs.
  • You have experience with policy engines or access control models such as RBAC, ABAC, or OPA/Cedar.
  • You write Go fluently and can design secure systems that are also maintainable.
  • You have internalized an AI-native development workflow and can demonstrate the productivity gains it enables.
  • You use AI tools to specify, build, and validate, not as occasional assistants but as core to how you deliver.
  • You have opinions on how software should be built and can defend them while remaining open to being wrong.
  • You communicate clearly and work effectively with customers, founders, and other engineers.

Responsibilities

  • Work across the stack to build software that solves real problems for customers, making architectural decisions, shipping code, and iterating based on what you learn.
  • Build the policy and identity systems that make the platform enterprise-ready.
  • Design authentication flows that integrate with customer identity providers.
  • Design authorization models that express complex access requirements simply.
  • Build policy engines that enforce rules consistently across distributed environments.
  • Own credential management and secrets handling, ensuring agents operate with least privilege and full auditability.
  • Work directly with customers to understand their security and compliance requirements and translate them into product capabilities.

About the Company

Dome Systems

Enterprise AI agent governance platform

Dome Systems builds agent-native infrastructure to give enterprises a consistent system of control over AI agents. It creates a unified governance layer that works across clouds, data systems, and SaaS tools so AI agents can be deployed securely and reliably at scale. The platform treats every agent as three parts—code (runtime and orchestration), a model (reasoning engine), and tools (external interactions)—and connects to all systems to identify agents, checks every action against policy before it runs, and records every governed decision for auditing. Unlike tools that only manage who can access agents, Dome Systems focuses on governing the decisions agents make in real time. The goal is to manage the growing “agentic estate” so businesses can innovate quickly while staying secure and compliant.

Company size
11-50
Company stage
Seed
Total funding
$14M
Headquarters
Menlo Park, CA
Founded
2026

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