## About Naive
Naive is building autonomous companies: agent systems capable of operating real businesses end to end.
We release autonomous company templates and benchmarks, alongside 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 from Nexus Venture Partners, Y Combinator, Zetta Venture Partners, Liquid 2 and leading operators.
## The Role
Build real-world agent environments, benchmarks and autonomous company blueprints—and make Vetta the best-performing agent within them. Accordingly, as a founding MTS member, you have the chance to earn significant equity in a fast growing Series A company.
## What You’ll Do
* 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
## Must-Haves
* 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
## Nice-to-Haves
* RL or post-training experience
* Browser, coding or computer-use agent experience
* Experience publishing benchmarks or technical research
* Familiarity with distributed agent infrastructure
_P.S. If you’ve made it to the bottom of this listing and are serious about every point on this role, send Sean a LinkedIn connect with a note._
Visa sponsorship is not available for this role.
