AI GTM Engineer
Endor Labs
full-remoteseniorpermanentproduct-managementother Full remote - New York, US 2 days ago via WTTJ
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AI AgentsGTM OperationsSalesMarketing AutomationBusiness Process AutomationChange ManagementAI/MLProduction AI SystemsEnterprise Sales CycleBizOps
About the role
Role overview
You will join Endor Labs as an AI GTM Engineer and lead the company’s internal AI transformation. Working closely with the CEO and executive leadership, you’ll identify high-impact AI agent and automation opportunities across non-engineering functions, then build, deploy, and drive adoption of AI-powered workflows.
Key missions
- Identify high-impact AI agent and automation use cases across non-engineering teams.
- Design, build, and deploy AI agent-based workflows and automations that solve business problems.
- Lead change management to drive AI adoption, build trust, and shift team behaviors.
Responsibilities
- Partner with leadership to define where AI can create leverage in business operations.
- Execute a comprehensive adoption strategy so AI tools are successfully used in day-to-day work.
- Build production-ready systems (not just prototypes) for real teams.
Requirements
- Deep understanding of Go-to-Market operations, including:
- Sales, Marketing, BD, and BizOps workflows
- Enterprise sales cycle dynamics, pipeline mechanics, and where AI adds the most value
- Builder mindset with startup DNA: comfortable with ambiguity, moving fast, and iterating.
- Proven ability to build and ship AI-powered solutions in a business context (production systems).
- Strong instincts for change management and driving adoption beyond deployment.
- 5+ years experience across software engineering, data science, AI/ML engineering, or technical operations.
Nice to have
- Experience working across multiple business functions and translating business needs into AI workflows.
About Endor Labs
Endor Labs is a company focused on applying AI to drive real business outcomes. The role centers on transforming internal operations by identifying high-impact AI agent use cases and deploying production AI workflows across the organization.
Scraped 5/15/2026