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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
Platform tooling and developer infrastructure
We’re backed by Sequoia, GV, and General Catalyst and building a small team of engineers who want to work on hard technical systems problems with real-world impact.
The Foundations team builds the platform and infrastructure powering Rox agents.
We own the systems responsible for:
Real-time context ingestion
Agent execution and orchestration
Reliability for long-horizon AI tasks
Developer infrastructure and platform tooling
Observability and operational excellence
Low-latency decisioning across distributed systems
If you’ve worked on systems like:
Internal developer platforms
Cloud infrastructure and platform tooling
Streaming compute platforms
Distributed query engines
Real-time data systems
Scalable backend infrastructure
many of the problems here will feel familiar — but applied to a new category of AI-native software.
At Rox, agents are constantly:
Retrieving context
Making decisions
Triggering actions
Updating state
The Foundations team builds the infrastructure and platform capabilities that make those loops reliable, observable, scalable, and easy for product teams to build on.
We are hiring a Platform Engineer to help design, build, and operate the infrastructure and internal platform behind Rox’s agent runtime.
This role sits at the intersection of:
Platform engineering
Cloud infrastructure
Distributed systems
Real-time data infrastructure
Agent orchestration
Developer productivity
You will work across both foundational infrastructure and the developer platform experience — helping teams ship quickly while ensuring systems remain reliable, scalable, and observable in production.
This is a strong fit for engineers who enjoy owning systems end-to-end: from infrastructure primitives and runtime reliability to deployment workflows, tooling, and operational excellence.
Design and build core infrastructure powering Rox agents.
Improve the reliability, scalability, and observability of distributed systems.
Build and maintain cloud infrastructure, deployment systems, and platform tooling.
Develop systems for real-time context ingestion and low-latency retrieval.
Support execution frameworks for long-running agent workflows.
Improve developer experience through automation, tooling, and self-service infrastructure.
Partner closely with product engineers and forward deployed engineers to enable rapid iteration in production environments.
Help establish engineering standards around monitoring, incident response, performance, and operational maturity.
Ship production systems quickly and evolve them based on real-world usage.
Experience building and operating production infrastructure and backend systems.
Strong experience in cloud infrastructure, platform engineering, or distributed backend systems.
Familiarity with areas such as:
Kubernetes and container orchestration
Cloud infrastructure (AWS/GCP)
CI/CD and developer platforms
Distributed systems and event-driven architectures
Observability and reliability engineering
Real-time data or streaming systems
Strong intuition for reliability, scalability, latency, and operational tradeoffs.
Comfort debugging production systems and solving problems across infrastructure and application layers.
A bias toward shipping, learning from production, and continuously improving systems.
Ability to work across both platform and infrastructure domains depending on company priorities.
Rox is building a new category of software where AI agents continuously reason, decide, and act in production environments.
That requires infrastructure and platform systems that look different from traditional SaaS architectures.
You’ll help build the foundation that enables engineers — and eventually agents themselves — to operate reliably at scale.
