Founding MTS: Autonomous Agent Systems (Equity)

Socket.dev; Mountain View (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Job summary

Naive is building autonomous companies: agent systems capable of operating real businesses end to end. We release autonomous templates and benchmarks, backed by a studio—where users can deploy and operate these systems. Our infrastructure platform, Vetta, powers long‑running, high‑volume agent workloads.

We’ve raised $28.5M and are growing fast. As a founding MTS member in Mountain View, you will shape real-world agent environments, evaluate benchmarks and publish results, with substantial

Qualifications

• Strong Python and research-engineering ability.
• Experience building agents, evals or RL environments.
• Deep understanding of tool use, long-horizon tasks and LLM failure modes.
• Ability to design rigorous experiments and ship production systems.
• High agency and comfort working on ambiguous 0→1 problems.

Responsibilities

• Turn complex business workflows into reproducible agent environments.
• Design tasks, rewards, evals and benchmarks that measure real outcomes.
• Build production-ready autonomous company blueprints.
• Run experiments, analyze failures and improve agent performance.
• Develop training data and optimization loops from agent trajectories.
• Publish credible benchmarks, technical reports and demos.

Skills

Python

Research engineering

Agent environments

LLM failure modes

Experiment design

Tools

Benchmarks

RL environments

Job description

Naive is building autonomous companies: agent systems capable of operating real businesses end to end. We release autonomous templates and benchmarks, backed by a studio—where users can deploy and operate these systems. Our infrastructure platform, Vetta, powers long‑running, high‑volume agent workloads.

We’ve raised $28.5M and are growing fast. As a founding MTS member in Mountain View, you will shape real-world agent environments, evaluate benchmarks and publish results, with substantial