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
At Rox, agents continuously:
retrieve context
reason across changing state
trigger actions
update workflows
coordinate across systems
Core Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic.
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 systems
graph retrieval systems
semantic search infrastructure
streaming compute systems
large-scale platform engineering
AI infrastructure and orchestration systems
Open source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here.
You understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems.
You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance.
You help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale.
Enterprise AI systems are moving toward autonomous execution.
The hard problem is not generating outputs — it’s building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints.
We believe this requires a new category of infrastructure engineering.
That is the problem space this team exists to solve.
This role is based onsite in San Francisco.
We strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox.
If you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Rox Data Corp is a company that believes in empowering people to do their best work. Their platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. They are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context.