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San Francisco, California, United States
Onsite
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.
We work on the systems responsible for:
real-time context ingestion
agent execution and orchestration
reliability for long-horizon AI tasks
low-latency decisioning across distributed systems
If you've worked on systems like:
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.
At Rox, agents are constantly:
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.
This role sits at the intersection of:
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.
Design and build core distributed systems powering Rox agents.
Build infrastructure for real-time context ingestion and retrieval.
Develop systems that enable low-latency agent decisioning at scale.
Improve reliability, observability, and fault tolerance across agent infrastructure.
Build execution frameworks that support long-running agent workflows.
Collaborate closely with product engineers and forward deployed engineers to translate infrastructure capabilities into customer impact.
Ship production systems quickly and evolve them based on real-world usage.
Experience building deep infrastructure systems in production.
Examples include:
distributed data platforms
streaming compute systems
real-time analytics infrastructure
distributed query engines
high-scale backend services
Strong intuition for latency, reliability, and scalability tradeoffs.
Experience operating systems where real-world traffic exposes edge cases quickly.
Comfort debugging complex distributed systems in production.
A bias toward shipping systems, learning from production, and improving them continuously.
