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Naïve

Founding Member of Techincal Staff - Agents

Mountain View, CA, US · Not specified

Annual base salary
$190k – $225k USD
Equity
Not disclosed
Commitment
Full Time
Company stage
Not disclosed

Compensation as listed

$190K - $225K  •  2.00% - 4.00%

About Naïve

Naïve is an autonomous company runtime.

You describe what your business does, and Naïve deploys AI employees that actually execute — building your app, closing deals, running campaigns, serving customers.

It works for new companies being built from zero and existing companies looking to automate entire functions by one-click connecting to your entire stack.

Deployed @ 500+ companies like Airwallex, Hackerrank, and more.

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.

Technology

Python, Typescript, Docker, FastAPI, PostgreSQL, AWS, OpenAI

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

Source: Y Combinator. Confirm availability with the employer.

Apply through the original posting.

View listing