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Nunchux AI

Full-stack infrastructure for generative media

Founding Marketer

Growth Marketing +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 3 years of experience in developer marketing, developer relations, or growth at a developer tools, API, or AI infrastructure company, with evidence of increasing active or paying users.
  • Ability to read code samples and discuss models, latency, and pricing with engineers.
  • Ability to write clear, accurate technical content for engineers.
  • Ability to set up tracking, analyze funnel data, and use it to make decisions.

Responsibilities

  • Track developer progression from sign-up to first API call to payment, and work with engineers to improve onboarding and the self-serve flow.
  • Plan and announce new Modelverse model launches on their release day across X, Reddit, Hacker News, and Discord.
  • Turn public benchmark results into comparison pages, posts, and landing pages.
  • Write for the Nunchux blog and run the developer newsletter; write customer stories and work with engineers to publish technical posts, demos, and benchmarks.
  • Build Nunchux's presence in open-source model and AI developer communities, including Discord, GitHub, and Hugging Face pages.
  • Create programs that help startups and developers get started on Modelverse, and lead co-marketing with partners.
  • Create case studies, one-pagers, and pitch material to support the go-to-market team in winning large accounts.
  • Build the marketing function and shape how developers see Nunchux.

Desired Qualifications

  • Active participation in AI developer or open-source communities.
  • Experience with generative image or video models, or ComfyUI.
  • An audience on X, YouTube, or a technical blog.
  • Experience with product-led growth at an early-stage startup.
  • Ability to build simple demos or landing pages.

About the Company

Nunchux AI

Full-stack infrastructure for generative media

What Nunchux AI does: It builds full-stack infrastructure that lets developers and enterprises run image, video, and world models much faster and cheaper while keeping the same level of fidelity. How its product works: The platform provides an end-to-end stack for deploying and running generative media models, including optimized runtimes, deployment tooling, and resource management, to squeeze more performance from hardware so workloads run up to 100× faster at the same quality. How it differs from competitors: It emphasizes large, concrete speed and cost improvements and offers a complete, full-stack solution for image, video, and world models rather than narrow tools, targeting both developers and enterprises. What its goal is: To push generative media beyond today’s hardware limits by making advanced models practical and affordable at scale.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2026

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