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HUD

Live runtime data for AI coding

Marketing & Events Lead

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience in marketing, content, or community roles in startups.
  • A strong track record of growing social accounts or company branding.
  • A portfolio of writing that showcases the ability to write effectively.
  • Ability to understand technical products well enough to explain them simply and accurately.
  • Experience planning and running events.
  • Strong organizational skills and ability to own multiple workstreams.
  • Early-stage startup experience and ability to work independently in fast-paced environments.

Responsibilities

  • Own and execute the overall marketing strategy and content calendar.
  • Lead the social media presence on Twitter/X and LinkedIn to grow audience, engagement, and inbound interest.
  • Ghostwrite high-quality content for founders that tells HUD’s story, communicates product vision and insights, and showcases platform wins.
  • Translate complex technical product concepts into clear, compelling narratives for a technical audience.
  • Develop and refine HUD’s voice, positioning, and storytelling across channels.
  • Experiment with formats such as posts, short-form video, and memes, and increase investment in what works.
  • Identify high-leverage opportunities to participate in events where the target audience is present, such as conferences, hackathons, and technical communities.
  • Plan and run high-quality, memorable events that reinforce the brand and generate pipeline.
  • Support the founders and team with event presence, including talks.

Desired Qualifications

  • Experience marketing AI/ML, developer tools, or technical platforms.
  • A standout portfolio of writing, social content, or campaigns.
  • Experience running events, meetups, or community programs end-to-end.
  • A strong network within RL researcher, RL engineer, and broader startup communities.
  • Familiarity with analytics tools and growth strategies for social and content.
  • A clear point of view on how great technical companies tell stories and build brand.

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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