Core Engineering

About Rox

Rox is building the AI-native revenue operating system.

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 systems
• real-time decisioning
• agent execution frameworks
• semantic retrieval systems
• low-latency streaming infrastructure
• knowledge graph architectures

We’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI. We are building for what enterprise AI systems will require two years from now — not just what exists today.

Core Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale.

This team sits at the center of Rox’s long-term technical strategy and owns foundational infrastructure across:

• agent reliability and orchestration
• distributed execution systems
• graph-based retrieval infrastructure
• streaming and real-time context systems
• observability for autonomous workflows
• low-latency data and inference pipelines

The problems here look less like traditional SaaS application engineering and more like:

• real-time OLAP systems
• streaming compute platforms
• distributed databases
• semantic retrieval systems
• deterministic execution infrastructure
• high-scale platform engineering

• retrieve context
• reason across changing state
• trigger actions
• update workflows
• coordinate across systems

We are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox’s autonomous agent platform. This role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability.

You might be a fit if you’ve spent time building:

• distributed infrastructure
• streaming systems
• semantic search infrastructure
• graph-based retrieval systems
• execution runtimes
• reliability infrastructure
• low-latency backend platforms

Or if you’ve historically been “the person” inside your company for difficult infrastructure problems.

We care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints.

• Build infrastructure for reliable autonomous agent execution
• Design systems for deterministic, auditable agent behavior at enterprise SLAs
• Develop low-latency retrieval and context systems powering AI workflows
• Build and scale graph-based infrastructure and semantic retrieval systems
• Improve observability, debugging, and reliability across distributed agent systems
• Work on real-time data ingestion and streaming architectures
• Collaborate closely with platform, AI, and product engineering teams
• Help shape the long-term architecture behind Rox’s agent runtime

• Reliability for long-horizon AI workflows
• Agent orchestration across distributed systems
• Deterministic execution for autonomous systems
• Streaming context ingestion and retrieval
  
  Knowledge graph infrastructure
• Real-time state synchronization
• Low-latency execution pipelines
• Enterprise-grade observability for agent systems

• Strong background in distributed systems or platform engineering
• Experience building and operating high-scale backend infrastructure
• Strong systems fundamentals across networking, concurrency, storage, and reliability
• Experience with streaming systems, distributed databases, or real-time infrastructure
• Ability to independently design and ship complex technical systems
• Strong product and engineering judgment

We’d especially love to speak with engineers who have experience in areas like:

• Apache Flink
• distributed query engines
• real-time OLAP…