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HUD

Live runtime data for AI coding

Outbound Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeSingaporeSGD60k - SGD100k /yr

About the Job

Requirements

  • Clear spoken and written English, with confidence starting conversations by phone.
  • Persistence through unanswered calls and rejection, while staying professional and respectful.
  • Reliable follow-through across many conversations, with organised notes and next steps.
  • Comfort using everyday sales tools, taking feedback and improving your approach.

Responsibilities

  • Work through prospect lists, find the right contacts, and make cold calls and send relevant emails and LinkedIn messages every day.
  • Explain how listing on HUD works and why it may be valuable to the provider, answer common questions and handle objections.
  • Follow up consistently and guide interested providers through sign-up and listing submission.
  • Collect the information needed for a complete listing and help providers when they get stuck.
  • Keep contact records and next steps current, and meet agreed daily outreach targets and weekly targets for complete listings that match buyer needs.

Desired Qualifications

  • Telesales, call-centre, appointment-setting, customer support or recruitment experience is useful.
  • AI, data and coding experience are optional.

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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