About the role
Design and operate sandbox lifecycle systems for agent code execution, browser work, document processing, and tool use. Improve sandbox startup time, density, scheduling, warm pools, caching, and resource utilization. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
Echelon is building the AI platform for Business Operations. Our goal is to automate the knowledge work of BizOps so one exceptional operator can deliver the leverage of an entire team, as Ramp and Rippling have done for Finance and HR.
Our platform combines passive process mining with a living ontology that maps how work happens across people, systems, documents, decisions, and outcomes. It connects structured and unstructured data trapped in fragmented, duplicative, and legacy enterprise systems, then turns that context into automated workflows and AI agents.
We are an early-stage company tackling a difficult technical problem at high speed. Engineers work directly with founders and customers, make decisions with incomplete information, ship production systems, and own the results. The pace, rate of change, and standards are high.
The mandate
Build the secure execution substrate for Echelon's agents. You will scale ephemeral sandboxes, optimize filesystem and startup performance, and make long-running agent work durable under load without weakening tenant isolation or operational control.
Design and operate sandbox lifecycle systems for agent code execution, browser work,...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area