Naïve
Founding Product Engineer
Mountain View, CA, US · Not specified
- Annual base salary
- $150k – $200k USD
- Equity
- Not disclosed
- Commitment
- Full Time
- Company stage
- Not disclosed
Compensation as listed
$150K - $200K • 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 Naive Studio: the interface where users deploy and operate autonomous companies. You’ll own features from product concept and UX through engineering, launch and growth.
What You’ll Do
- Build full-stack with Next.js, TypeScript, Python and FastAPI
- Design polished, intuitive interfaces for complex agent systems
- Own features from customer research and prototyping through launch
- Create demos, launch content and campaigns for what you ship
- Turn usage data and customer feedback into product decisions
- Establish a high bar for design, performance and shipping velocity
Must-Haves
- Strong full-stack engineering and UI/UX ability
- Exceptional product taste and attention to detail
- Experience shipping a 0→1 product
- Real experience building with LLMs and agentic systems
- Strong written communication and product-marketing instincts
- High agency—you independently identify and solve problems
Nice-to-Haves
- Ex-founder or early startup engineer
- Experience with developer tools or AI-native products
- Familiarity with agent orchestration, MCP or SDK design
- Experience producing demos, launch videos or technical content
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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