
11 - 50 employees
Founded 2025
π Cybersecurity
π€ Artificial Intelligence
π’ Enterprise
Cybersecurity β’ Artificial Intelligence β’ Enterprise
Origin is an endpoint observability and security platform for agentic AI. It gives operational intelligence about AI agents and local MCP servers across a fleet, discovering sanctioned and unsanctioned installs, attributing every action (prompts, tool calls, file changes, network calls) to the user and agent, and reconstructing end-to-end traces. Origin surfaces security risks, audit-ready logs, and AI spend analytics so CISOs, CIOs, and developers can govern AI adoption across enterprises. It runs at the endpoint layer and emphasizes continuous visibility, attribution, and cost/usage clustering.
π₯ 4 minutes ago
πΊπΈ United States β Remote
π΅ $170k - $360k / year
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
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11 - 50 employees
Founded 2025
π Cybersecurity
π€ Artificial Intelligence
π’ Enterprise
Cybersecurity β’ Artificial Intelligence β’ Enterprise
Origin is an endpoint observability and security platform for agentic AI. It gives operational intelligence about AI agents and local MCP servers across a fleet, discovering sanctioned and unsanctioned installs, attributing every action (prompts, tool calls, file changes, network calls) to the user and agent, and reconstructing end-to-end traces. Origin surfaces security risks, audit-ready logs, and AI spend analytics so CISOs, CIOs, and developers can govern AI adoption across enterprises. It runs at the endpoint layer and emphasizes continuous visibility, attribution, and cost/usage clustering.
β’ Obsess over customer problems and ship for velocity and impact β’ Ship across the stack - agent, backend, infrastructure, and frontend β’ Build internal agents that automate repeatable parts of engineering β’ Define how AI-native engineering works at Origin β’ Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka β’ Drive technical decisions on storage schemas and API contracts β’ Work alongside research and systems-internals engineers to turn their work into reliable production software
β’ AI-native engineering practice β’ Track record of building data-intensive systems at scale β’ Deep understanding of distributed systems principles β’ Performance engineering mindset β’ Modern systems programming experience, Rust preferred β’ Strong working fluency in Python β’ Production experience with cloud infrastructure (AWS preferred) β’ Comfortable working in React frontend β’ High agency with a track record of identifying important work
β’ generous healthcare β’ flexible PTO β’ home-office support
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