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HUD

Live runtime data for AI coding

GTM Lead – Commercial Partnerships

Account ExecutiveConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrated ability to build and run a go-to-market motion with measurable results.
  • A strong track record of closing deals.
  • A computer science or engineering background, or extensive side-project coding using AI tools.
  • Deep familiarity with go-to-market tooling.
  • Strong written communication that resonates with technical audiences.
  • Early-stage startup experience and the ability to work independently in fast-paced environments.

Responsibilities

  • Own the outbound pipeline end-to-end, including targeting, enrichment, outreach, follow-up, and meeting booking.
  • Build and maintain go-to-market workflows, including outbound email sequencing, customer relationship management automation, lead scoring, custom tooling, and inbound lead qualification.
  • Use AI tools to increase output, including coding scrapers, automating workflows, and building internal tools.
  • Develop and iterate on messaging for technical buyers, including machine learning engineers, AI researchers, and engineering leaders.
  • Learn prospective customers’ businesses and industries and understand their pain points, workflows, and reasons HUD’s product is relevant.
  • Track pipeline metrics and optimize conversion at every stage.
  • Work closely with founders to develop and refine the go-to-market playbook as the company scales.

Desired Qualifications

  • Experience selling developer tools, infrastructure, or machine learning/artificial intelligence products.
  • Experience building outbound systems using tools such as Clay, Apollo, or custom automation.
  • Familiarity with reinforcement learning, including environments, evaluations, and benchmarks.
  • Evidence of creative, high-leverage approaches to pipeline generation.

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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