H

HUD

AI agent evaluation platform and benchmarks

Business Development Lead

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 real, measurable results.
  • A strong track record of closing deals.
  • A computer science or engineering background, or extensive personal use of vibe-coding.
  • Deep familiarity with go-to-market tooling.
  • Strong written communication that technical people respond to.
  • Early-stage startup experience and the ability to work independently in fast-paced environments.

Responsibilities

  • Own HUD's 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 creating scrapers, automating workflows, and building internal tools.
  • Develop and iterate on messaging that resonates with technical buyers, including machine learning engineers, AI researchers, and engineering leaders.
  • Quickly learn prospect businesses and industries and understand their pain points, workflows, and why HUD matters to them.
  • 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.
  • History of 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

AI agent evaluation platform and benchmarks

HUD provides an evaluation platform for AI agents that perform computer-use tasks. It offers an interface that connects to HUD evaluation environments, allowing users to run benchmarks across hundreds of environments and thousands of tasks. Users can integrate their agents using various adapters, and interact with the system through an asynchronous API for efficient experiments. The platform then collects telemetry and benchmarking results to inform agent improvements. HUD differentiates itself by concentrating on evaluating and improving knowledge-work agents across a wide range of tasks and environments, rather than just building models, and by enabling scalable, tool-enabled testing via adapters and an asynchronous workflow. The company’s goal is to help organizations and developers assess, compare, and enhance their AI agents so they perform better in real-world knowledge-work scenarios.

Company size
11-50
Company stage
Seed
Total funding
$130K
Headquarters
San Francisco, CA
Founded
2025

Recently Posted Jobs

Explore more opportunities at HUD

See more jobs