Core Engineering

About Us

At

Rox

, we believe in empowering people to do their best work.

Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work.

We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle.

Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition.

Underlying all of this success is an unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality.

The Team

Nothing is possible without the world-class team, assembled to redefine how businesses operate.

Members on our team have:

• Founded and exited successful companies
• Held the highest positions at Google, AWS, Confluent, and New Relic
• Won IMO and IOI gold medals
• Published field-defining papers

We’re backed by the best, including Sequoia, General Catalyst, Google Ventures, Elad Gil, and Chris Ré.

Core Principles

Taste: Craft beautiful experiences.

No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers.

Obsession: Commit unreasonably.

In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day.

Action: Get it done.

Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed.

Your Role

About the Core Engineering Team

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.

The Role

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.

Why This Role Exists

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.

Responsibilities

• 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
• Problems You’ll Work On 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

What Success Looks Like

In your first few weeks

You understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems.

In your first few months

You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance.

Over time

You help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale.

Qualifications

• 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
• Particularly Relevant Backgrounds
• 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.
• Location
• 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.