Product Engineer Nunchux AI San Francisco, CA Job Details Full-time $170,000 - $240,000 a year 7 hours ago Benefits Health insurance 401(k) Qualifications AI models Dashboard development Launching new IT products Content creation for technical audiences Software product demonstrations Startup experience Product discovery Mid-level Schema design Production systems Collaboration with product development teams Machine learning Model deployment Applied research Next.js SDKs Software documentation Developing and maintaining backend systems Open source contribution API integrations Technical writing experience within technology 4 years TypeScript Developer tools Python Debugging User-facing feature development Full Job Description About Nunchux AI Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, Zhekai Zhang, and CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Built on nearly a decade of research from MIT and CMU, our work includes nunchaku, whose models have surpassed 4 million downloads. We're backed by top VCs and building for enterprises and millions of developers. The Role Nunchux Modelverse is a live model hub and API platform for multimodal generative AI. We are adding models, features, and developer workflows. As a Product Engineer, you will turn Nunchux's model roadmap into product experiences across Modelverse, Playground, the developer dashboard, API, SDK, and documentation. You will work with founders, designers, and engineers to take a new model or feature from product direction to a reliable release. You will also use product data and developer feedback to find friction and improve what is already live. What You'll Do Build and launch: Turn new models and features into production-ready experiences across the model catalog, Playground, dashboard, API, SDK, documentation, frontend, backend, database, and deployment.

Improve the experience:

Use product data, developer feedback, and technical constraints to identify improvements to model discovery, onboarding, and core generation workflows. Work with founders and designers to scope and ship them.

Learn from launches:

Instrument key flows, see where developers run into errors or drop off, and iterate after launch.

Stay close to developers:

Work with founders and customer-facing teammates to understand recurring developer questions and friction points. Help users get to their first API call, and write the technical explainers or demos that accompany major releases.

Move quickly:

Build small demo apps, client libraries, comparison tools, or landing pages to test an idea before committing to a larger build.

What You Bring Full-stack experience:

4+ years building and shipping production web products. You have made product decisions on a small team, not only implemented someone else's specification.

Technical range:

Strong in TypeScript/JavaScript and Python. Comfortable owning a Next.js frontend and the API and database layer behind it, including Postgres and schema design.

Product judgment:

Able to look at usage data, support threads, and customer feedback, then identify a problem and recommend a practical way to improve it.

Developer empathy and writing:

Comfortable debugging a developer's first experience and writing clear docs, specs, or technical posts.

Working style:

Comfortable with ambiguity and able to move from a live demo or customer conversation to a production pull request without a large process around you. Bonus Points Background in ML, systems, or applied research. You understand what model optimization means in practice. Experience at a developer-tools, API platform, or product-led-growth startup. A track record of launching a 0-to-1 product feature or product at an early-stage company. Open-source projects, technical writing, or side projects that show you can both build and explain.

Why Join Ownership:

Turn Nunchux's model roadmap into the product surfaces developers use, and help make each launch feel complete and coherent.

A live platform:

Work on real users, new model launches, and core developer workflows.

Proven traction:

Build on open-source work with more than 4 million model downloads and growing industry partnerships.

The team:

Work alongside MIT, Berkeley, and CMU researchers and veterans from NVIDIA, AMD, Snowflake, and Adobe.

Compensation:

$170,000 to $240,000 USD base salary, plus meaningful equity and comprehensive benefits, including health insurance and 401K. Actual compensation will depend on relevant experience, skills, and qualifications.

Location:

San Francisco, CA. 4 days in office, 1 day remote.

Start date:

As soon as available

Visa:

We sponsor H-1B and other work visas for exceptional candidates.

Learn more:

nunchux.ai

Apply:

Please apply through our Ashby careers page. Nunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Compensation Range:

$170K - $240K