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Rox Data Corp
San Francisco, California, United States
Source: Rox Data Corp careers · View original posting
From Rox Data Corp's posting. “We” and “our” refer to the employer.
Rox is building the AI-native revenue operating system.
Most enterprise software was built for humans operating dashboards. Rox is built for agents operating systems.
Instead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise.
Agents analyze signals, reason about them, and take action — automatically.
To make that possible, we are building infrastructure that combines elements of:
distributed data platforms real-time decision systems agent execution frameworks low-latency context retrieval
We’re backed by Sequoia, GV, and General Catalyst and building a small team of engineers who want to work on deep technical systems problems with real-world impact.
The Foundations team builds the core infrastructure behind Rox agents.
real-time context ingestion agent execution and orchestration reliability for long-horizon AI tasks low-latency decisioning across distributed systems
streaming compute platforms distributed query engines real-time OLAP systems matching engines large-scale data infrastructure many of the problems here will feel familiar — but applied to a new category of software.
retrieving context making decisions triggering actions updating state
The Foundations team builds the infrastructure that makes those loops reliable, fast, and observable.
We are hiring a Foundations Engineer (Deep Infra) to design and operate the systems that power Rox’s agent runtime.
distributed systems real-time data infrastructure agent orchestration decisioning systems
You will work on infrastructure similar to what powers large-scale data platforms — but optimized for continuous AI decision loops rather than batch analytics.
Many of the systems we are building resemble components from:
streaming compute systems distributed query engines large-scale event processing pipelines matching and routing infrastructure
But with a new constraint: AI agents must operate continuously and reliably in production environments.
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