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Endor Labs

Function-level vulnerability analysis and risk scoring

AI GTM Engineer

AI Application EngineeringUpdated on Nov 13
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • At least 5 years of experience in a combination of software engineering, data science, AI/ML engineering, or technical operations.
  • Ability to build and ship production AI-powered solutions used by teams in a business context.
  • Deep understanding of go-to-market operations, including Sales, Marketing, Business Development, and BizOps workflows, enterprise sales cycles, and pipeline mechanics.
  • Strong change management instincts, including the ability to drive adoption, build trust, and shift behaviors.
  • A builder mindset suited to ambiguity, fast iteration, and shipping solutions.

Responsibilities

  • Assess workflows across functions to identify automation and AI augmentation opportunities.
  • Build and maintain an AI opportunity roadmap, prioritizing use cases by return on investment, feasibility, and strategic value with department heads and the CEO.
  • Evaluate new AI models, platforms, tools, agent frameworks, and techniques.
  • Design, build, and deploy AI agent-based workflows and automations, including multi-step agentic workflows, retrieval-augmented generation knowledge systems, automated content pipelines, and intelligent customer relationship management enrichment.
  • Own AI workflow lifecycles from rapid prototyping to production deployment, including monitoring, error handling, and iteration based on user feedback.
  • Integrate AI solutions with Salesforce, HubSpot, Slack, Google Workspace, and internal databases.
  • Design and execute a change management strategy to drive AI adoption across the organization.
  • Develop and deliver department-specific training programs, workshops, and hands-on enablement sessions.
  • Identify and cultivate AI champions within each team.
  • Track adoption metrics, gather feedback, and iterate on tools and training to support sustained usage.

About the Company

Endor Labs

Function-level vulnerability analysis and risk scoring

Endor Labs analyzes software using reachability-based dependency analysis to identify vulnerabilities. It provides a risk score for software packages that combines security, quality, popularity, and activity by examining software behavior at the function level through program analysis. The company offers a flexible policy engine to tailor risk rules and tools to manage SBOM and VEX data, plus ongoing vulnerability monitoring. With a PhD-led team and focus on reducing alert noise, Endor Labs aims to help organizations improve security and software quality while lowering technical debt and supply chain risk through actionable insights and policy-driven controls.

Company size
201-500
Company stage
Series B
Total funding
$188M
Headquarters
Palo Alto, CA
Founded
2021

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