# Founding Member of Techincal Staff - Agents

**Company:** [Naive](https://zerogtalent.com/ai-companies/naive)
**Location:** Mountain View, CA, US
**Work mode:** On-site
**Seniority:** Senior
**Employment type:** Full Time
**Salary:** USD 190K–225K/yr
**Category:** Software
**Listed:** 2026-09-19

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/naive/founding-member-of-techincal-staff-agents-110963)

## What you'll do

- Build agent orchestration, execution, tool-use infrastructure
- Improve reliability, latency, observability, cost at scale
- Design systems for long-running, stateful, multi-agent workloads
- Deploy production agent systems with customers
- Turn customer requirements into reusable platform capabilities

## What you need

- Strong Python and distributed-systems engineering
- Experience building production LLM agents
- Understanding of orchestration, queues, retries, state, observability
- Debug complex systems across full stack
- Strong customer communication, high agency

## Job description

### 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 a $28.5M Series A from Nexus Venture Partners, Y Combinator, Zetta Venture Partners, Liquid 2 and leading operators.

### The Role

Build Vetta into the best platform for deploying and operating large-scale agent workloads. You’ll work across core infrastructure and customer deployments. Accordingly, you also have the chance to earn significant equity at a fast growing Series A startup.

### What You’ll Do

-   Build agent orchestration, execution and tool-use infrastructure
-   Improve reliability, latency, observability and cost at scale
-   Design systems for long-running, stateful and multi-agent workloads
-   Work directly with customers to deploy production agent systems
-   Turn customer requirements into reusable platform capabilities
-   Own projects from architecture through production

### Must-Haves

-   Strong Python and distributed-systems engineering
-   Experience building production LLM agents
-   Understanding of orchestration, queues, retries, state and observability
-   Ability to debug complex systems across the full stack
-   Strong customer communication and high agency

### Nice-to-Haves

-   Experience with Pi, Hermes, and building your own agent harness
-   Built developer infrastructure, agent runtimes or workflow systems
-   Founder, founding engineer or forward-deployed engineering experience

_P.S. If you’re serious about this role, send Sean a LinkedIn connection request with a note._

* * *

### Interview Process

### **About the interview**

1.  Screening call with Co-founder (CEO or CTO)
2.  Technical Interview (Project-based, no leetcode)
3.  Work trial offer / Full time conversion

## Other open roles at Naive

- [In-House Video Editor](https://zerogtalent.com/ai-jobs/naive/in-house-video-editor-115481) — Remote (US)
- [Growth Engineer Intern](https://zerogtalent.com/ai-jobs/naive/growth-engineer-intern-112022) — Mountain View, CA, US / Remote (US)
- [Founding Member of Technical Staff — RL](https://zerogtalent.com/ai-jobs/naive/founding-member-of-technical-staff-rl-110962) — Mountain View, CA, US
- [Founding Product Engineer](https://zerogtalent.com/ai-jobs/naive/founding-product-engineer-110961) — Mountain View, CA, US
- [Founding Growth Engineer](https://zerogtalent.com/ai-jobs/naive/founding-growth-engineer-110960) — Mountain View, CA, US

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*