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
- Screening call with Co-founder (CEO or CTO)
- Technical Interview (Project-based, no leetcode)
- Work trial offer / Full time conversion
Source: Y Combinator. Confirm availability with the employer.
Apply through the original posting.
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