GTM Engineer
Endorlabs · Remote US
About this role
**GTM Engineer** **About Us** AI coding is one of the biggest enterprise AI use cases today—but the bottleneck has shifted from code generation to security and safety. AI agents can write code faster than teams can review it, and a large share of generated code is insecure. Vulnerabilities are being created and exploited faster than organizations can keep up. **AURI by Endor Labs** helps close that gap by running inside the harness where coding agents work. Controls sit outside the model, every agent action is visible, and a patented code context graph maps code, open source, containers, and infrastructure to show which vulnerabilities are actually reachable and exploitable—then delivers fixes that won’t break the application. Security teams get evidence instead of noise; developers get fixes instead of tickets. Customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood, and Peloton. **About The Role** As an **AI GTM Engineer**, you’ll drive Endor Labs’ internal AI transformation. Working closely with the CEO and E-Staff, you’ll partner across Sales, Marketing, Business Development, BizOps, and G&A to identify high-impact use cases where AI agents and automation can improve productivity, speed, and execution quality. This is hands-on: you’ll build and ship AI-powered workflows—from proof of concept through production deployment. You’ll also own change management: training teams, building internal champions, measuring adoption, and iterating until AI becomes a natural part of how every team operates. --- ## How You’ll Make an Impact ### AI Strategy & Use Case Discovery - 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. - Stay on the frontier of AI tooling and agent frameworks by continuously evaluating new models, platforms, and techniques. ### AI Engineering & Workflow Development - Design, build, and deploy AI agent-based workflows and automations for real business problems (multi-step agentic workflows, RAG 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 feedback. - Integrate AI solutions with existing tools and systems (Salesforce, HubSpot, Slack, Google Workspace, and internal databases) to create end-to-end workflows. ### Change Management & Adoption - 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 tailored to each department. - Identify and cultivate AI champions within each team to accelerate grassroots adoption. - Track adoption metrics, gather feedback, and iterate on tools and training for sustained usage. --- ## What You Bring to the Table - 5+ years of experience across software engineering, data science, AI/ML engineering, or technical operations. - Proven ability to build and ship AI-powered solutions in a business context (production systems used by real teams). - Strong understanding of go-to-market operations (Sales, Marketing, BD, BizOps), including enterprise sales cycles, pipeline mechanics, and where AI can create leverage. - Strong change management instincts—driving adoption an
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