Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Rox is building the AI-native revenue operating system, designed for agents operating systems rather than humans operating dashboards. We are developing infrastructure that combines distributed systems, real-time decisioning, agent execution frameworks, semantic retrieval systems, low-latency streaming infrastructure, and knowledge graph architectures. Backed by top investors, we have rapidly grown and are shipping our platform years ahead of market expectations, serving Global 2000 customers. We are focused on building for the future of enterprise AI systems.

Responsibilities

Design and run research programs directly tied to production agent problems
Build evaluation frameworks that measure what actually matters in live systems
Work on agent memory, retrieval, and context systems alongside the Core and Platform Eng teams
Translate research findings into infrastructure improvements with measurable production impact
Help define Rox's long-term research agenda as we scale
Collaborate closely with engineering leads who have built at the frontier

Requirements

Experience thinking about how agents fail in practice, not just how they perform on benchmarks
Experience building evaluation systems and understanding where standard approaches break down
Ability to write code to implement ideas and run experiments, with a track record of shipping production code
Ability to move fast in a rapidly changing research environment with continuous shipping
Interest in solving impactful problems over easily publishable ones
A PhD is not required; strong research instincts and the ability to ship are valued

Skills

Agent evaluation
Behavioral benchmarking
Retrieval-augmented generation
Semantic search
Knowledge graph systems
Reinforcement learning applied to real-world agent behavior
Production ML systems (latency, reliability, observability)
Data pipeline infrastructure
Agent orchestration infrastructure
Post-training
Fine-tuning
Model adaptation for production use cases

Location

San Francisco

Work Type

Onsite

Experience Level

Not specified

Education Level

Not specified

About the Company

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.
We are building infrastructure that combines: 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 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.