GTM Engineer

Endor Labs is hiring an AI GTM Engineer to lead its internal AI transformation across non-engineering functions. The role identifies high-impact use cases, builds and deploys AI-powered workflows, integrates them with business systems, and drives adoption through training and change management.

Responsibilities:

• In close coordination with the CEO & E-Staff, you will work across every non-engineering function – Sales, Marketing, Business Development, BizOps, and G&A – to identify high-impact use cases where AI agents and automation can dramatically improve productivity, speed, and quality of execution
• This is not a strategy-only role; you will get your hands dirty building and shipping AI-powered workflows, from proof of concept through production deployment
• You will partner closely with department heads to deeply understand their workflows, pain points, and operational bottlenecks
• From there, you’ll design, build, and deploy AI agent-based solutions – leveraging platforms like Claude, Gemini, and custom integrations – that automate repetitive work, enhance decision-making, and unlock capacity across the organization
• Equally important, you’ll own the change management process: training teams, building internal champions, measuring adoption, and iterating until AI becomes a natural part of how every team operates
• 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, from executive alignment to individual contributor enablement
• Develop and deliver training programs, workshops, and hands-on enablement sessions tailored to each department’s specific AI use cases and skill levels
• Identify and cultivate AI champions within each team to accelerate grassroots adoption and create a culture of AI-first thinking
• Track adoption metrics, gather feedback, and iterate on both the tools and the training to ensure sustained, meaningful usage

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 – not just research or prototypes, but production systems that real teams use daily
• Deep understanding of go-to-market operations, including Sales, Marketing, BD, and BizOps workflows. You know what an enterprise sales cycle looks like, understand pipeline mechanics, and can identify where AI can have the highest leverage
• Strong change management instincts – you understand that deploying AI tools is only half the battle; driving adoption, building trust, and shifting behaviors is where the real impact comes from
• A “builder” mindset with startup DNA – you're energized by ambiguity, move fast, and prefer shipping imperfect solutions and iterating over waiting for perfection