AI GTM Engineer

Endor Labs is redefining application security for the era of AI-driven software development. As AI coding agents transform how software is built, the $3 trillion software development stack is undergoing its biggest shift in decades, and security has never been more critical. Endor Labs is at the center of this transformation, generating a complete call graph of the software ecosystem to give teams the clarity to identify, prioritize, and remediate critical risks with speed and confidence.

Endor Labs has raised $163M from world-class investors, including DFJ Growth, Lightspeed Venture Partners, Coatue, Salesforce Ventures, Dell Technologies Capital, Section 32, and Citi Ventures. Our platform protects over 5 million applications and runs more than a million scans per week for customers including OpenAI, Cursor, Rubrik, Robinhood, Dropbox, and Snowflake. 

As an AI GTM Engineer, you will be the driving force behind Endor Labs’ internal AI transformation. 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.

If you’re energized by the intersection of cutting-edge AI and real business impact, thrive in fast-paced startup environments, and love turning ambiguity into shipped solutions, this role is for you.

• 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.

• 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.