Foundations Engineer (Deep Infra, SF in office)

ABOUT ROX

• 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.

ABOUT THE FOUNDATIONS TEAM

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.

THE ROLE

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.

WHAT YOU’LL DO

• 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.

WHAT YOU’LL BRING

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.