AI GTM Engineer

E
Endor LabsApplication security
Remote USFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years of experience
Required Skills
Artificial IntelligenceSalesforceData scienceSoftware EngineeringHubSpotGoogle WorkspaceSlack

Requirements

  • 5+ years of experience in a combination of software engineering, data science, AI/ML engineering, or technical operations.
  • Proven ability to build and ship AI-powered solutions in a business context.
  • Deep understanding of go-to-market operations, including Sales, Marketing, BD, and BizOps workflows.
  • Understanding of enterprise sales cycle and pipeline mechanics.
  • Strong change management instincts.
  • A “builder” mindset with startup DNA.

Responsibilities

  • Conduct deep-dive assessments of workflows across functions to identify automation and AI augmentation opportunities.
  • Build and maintain an AI opportunity roadmap, prioritizing use cases by ROI, feasibility, and strategic value, in close partnership with department heads and the CEO.
  • Stay at the frontier of AI tooling and agent frameworks, continuously evaluating new models, platforms, and techniques to keep Endor Labs ahead of the curve.
  • Design, build, and deploy AI agent-based workflows and automations that solve real business problems – including multi-step agentic workflows, RAG-based knowledge systems, automated content pipelines, intelligent CRM enrichment, and more.
  • Own the full lifecycle from rapid prototyping to production-grade deployment, including monitoring, error handling, and iteration based on user feedback.
  • Integrate AI solutions with existing tools and systems (Salesforce, HubSpot, Slack, Google Workspace, internal databases) to create seamless, end-to-end workflows.
  • Design and execute a comprehensive change management strategy to drive AI adoption across the organization.
  • Develop and deliver training programs, workshops, and hands-on enablement sessions.
  • Identify and cultivate AI champions within each team.
  • Track adoption metrics, gather feedback, and iterate on both the tools and the training.
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