H

HUD

Live runtime data for AI coding

Technical Writer

Technical WritingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Provide a portfolio demonstrating technical depth, clear explanations, and storytelling, including at least one piece of technical writing; include a portfolio link with the application.
  • Have enough technical fluency to engage with AI engineers, researchers, technical customers, and partners.
  • Have strong research and interviewing skills to turn technical conversations and research materials into useful stories.
  • Exercise editorial judgment about reader needs, argument structure, and when diagrams, examples, or demos would communicate effectively.
  • Move from an ambiguous brief to a polished draft, incorporate technical feedback, and manage multiple pieces of content concurrently.

Responsibilities

  • Write technically accurate content across formats, including customer and partner case studies, technical articles, product explainers, launch materials, and posts for X and LinkedIn.
  • Work with customers, partners, and internal experts to learn what they built, how it works, and what changed, turning interviews, demos, and results into evidence-based stories.
  • Learn HUD’s platform and marketplace to explain its products, research, and real customer workflows.
  • Help founders and the team communicate product vision, technical insights, and platform wins in HUD’s voice.
  • Propose topics and formats, manage drafts and feedback through publication, and use reader engagement and GTM team input to improve published content.

Desired Qualifications

  • Familiarity with reinforcement learning, environments, evaluations, benchmarks, or post-training data.
  • Published case studies or technical content for AI/ML products, developer tools, or infrastructure companies.
  • A track record of writing social content or ghostwriting for technical founders that earns attention from relevant audiences.
  • Hands-on work with technical products, code, or demos, and thoughtful use of AI tools for research and writing.

About the Company

HUD

Live runtime data for AI coding

HUD builds a Runtime Code Sensor that links live production software with AI-powered coding assistants. Developers add a lightweight SDK to their apps to stream real-time information about how code behaves—such as errors, latency, performance, and how functions are used—directly to AI tools like GitHub Copilot and other code generators. The product works by feeding ongoing, context-rich data from a running system into AI models so generated code can be aware of real-world conditions rather than just static code. This makes AI-generated code safer and more reliable in production. HUD differentiates itself by enabling production-aware development, providing continuous feedback from live environments rather than relying on static analysis or old logs. The company’s goal is to help software teams build higher-quality software faster with fewer bugs and better performance by bridging the gap between AI-generated code and real-world usage.

Company size
51-200
Company stage
Early VC
Total funding
$21.2M
Headquarters
San Francisco, CA
Founded
2025

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