Rox Data
Foundations Engineer (Deep Infra, SF in office)
5d ago
USASeniordistributed systemsreal-time decision systemsdata platformsolapstreaming compute
Develop core infrastructure for real-time context ingestion, agent execution, and orchestration in an AI-native revenue operating system.
Responsibilities
- 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.
Other
- 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.
- 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.