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AI GTM Engineer

ID: 9310

Type: Full-time

Category: Others

Company Name: Endor Labs

Location: United States

Education Level: Senior (5-10 years)

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Job Description

About Endor Labs

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. 

The Role

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.

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, 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.

AI Engineering & Workflow Development

  • 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.

Change Management & Adoption

  • 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.

What You Bring to the Table

  • 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. 

What We Offer You

  • Competitive salary and comprehensive benefits package including Health, Dental, Vision and Mental Health plans. 
  • 401(k) plan to support your longterm financial goals.
  • Flexible PTO to maintain a healthy work-life balance (we want you here for the long-haul!)
  • Opportunities for co-working and team meetups to foster collaboration.
  • A dog-friendly office environment for those who love to bring their fur babies along.

Endor Labs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if you don't fit every requirement above, we believe in the power of diverse perspectives and experiences, so we encourage all talented individuals to apply—there's no one-size-fits-all here.

Company Information

Company Name: Endor Labs

Company Website: https://endorlabs.io

Company Address: Endor Labs, 658 High St, Palo Alto, CA 94301, United States

Endor Labs is a technology company that develops developer-focused security tools aimed at preventing insecure software from being built and deployed in cloud-native environments. The company’s offering is positioned as a platform that integrates with modern software development lifecycles to surface and block security and compliance issues as early as possible — typically inside source control and continuous integration (CI) pipelines — so that engineering teams can fix problems before they reach production. Endor Labs emphasizes automation, developer ergonomics, and policy enforcement so that security becomes part of the development workflow rather than an afterthought handled only by central security teams. Core business activities Endor Labs builds and operates a security platform that performs automated analysis of application artifacts, infrastructure-as-code (IaC), container images, and related build outputs to identify vulnerabilities, misconfigurations, insecure libraries, secrets, and other risks introduced during development. The company focuses on embedding security checks into the CI/CD pipeline and source code management processes so that problems are detected and remediated earlier (shift-left security). Typical activities include producing security and compliance reports, generating actionable findings and remediation guidance for developers, enforcing policy gates to block CI builds or deployments that violate defined rules, and integrating findings into issue trackers and developer workflows. Main products and services Endor Labs’ core product is a platform that combines static analysis, software composition analysis, configuration validation, and policy enforcement across the software delivery lifecycle. The platform examines code changes, build artifacts (for example container images and artifacts created by CI), and deployment manifests to identify insecure patterns and known vulnerabilities. It produces structured outputs — including dashboards, alerts, and policy violation records — and can automatically open tickets or create pull requests with fixes depending on configuration. Key capabilities commonly provided by the platform include: - Pre-deployment scanning: analysis of commits, pull requests, and CI build outputs to detect vulnerabilities, insecure configurations, exposed secrets, and policy violations before code is merged or deployed. - Image and artifact analysis: inspection of container images and other build artifacts for known CVEs, outdated or vulnerable dependencies, and risky packages. - Infrastructure-as-code validation: scanning of Kubernetes manifests, Helm charts, Terraform, and other IaC templates for misconfigurations that could lead to privilege escalation, data exposure, or deployment failures. - Policy-as-code enforcement: the ability to codify organizational policies (for example deny-lists, required security controls, or CVE thresholds) and enforce them in CI/CD or deployment workflows so non-compliant changes are blocked automatically. - Developer-oriented workflows: integrations with source control platforms (such as git-based host providers), CI systems, and issue trackers so that findings appear where developers already work and remediation guidance is actionable and prioritized. - Reporting and auditability: dashboards and logs that provide security and compliance teams with visibility into the state of the software supply chain, historical evidence of policy enforcement, and traces suitable for audits. Delivery models and integrations The platform is typically offered as a cloud-hosted service and/or as a self-hosted deployment that enterprises can run inside their own networks, enabling teams with high compliance requirements to keep analysis on premises. Endor Labs emphasizes integration with popular developer tools and CI/CD systems so that checks can be inserted with minimal friction: common integration points include source code repositories, CI systems, container registries, and deployment pipelines. The platform’s outputs are designed to be consumed by both automated gating logic (to block builds or deployments) and by human workflows (to notify developers, populate tickets, or suggest fixes). Target customers and use cases Endor Labs primarily addresses engineering and DevSecOps teams at organizations building cloud-native applications and microservices. Typical use cases include preventing vulnerable or misconfigured images from being pushed to production, enforcing organizational policies across many microservices, reducing the time to remediate vulnerabilities by surfacing them in pull requests, and providing traceable evidence that security checks were executed as part of the software delivery process. The product set is suitable for organizations that want to operationalize security checks across many teams while keeping developer productivity high. Approach and value proposition The company takes a developer-first approach to security: rather than producing findings that are only visible to central security teams, the platform aims to put clear, prioritized, and actionable guidance directly into the developer workflow so security issues are addressed when they are cheapest to fix. By combining automated analysis with policy enforcement, Endor Labs helps organizations reduce the risk of insecure artifacts being released, reduce manual triage overhead for security teams, and shorten mean time to remediation for vulnerabilities and configuration issues. Limitations and observability As with any tool operating in CI/CD and code repositories, successful adoption depends on integration choices, tuning to avoid excessive false positives, and appropriate governance for policy rules. The platform provides audit logs and reporting to help security and compliance teams understand enforcement outcomes and to support continuous improvement of rules and developer training. Note: This description focuses on the company’s product and activity areas — namely automated, developer-integrated security checks for cloud-native software delivery — and is based on publicly stated product positioning and feature categories commonly associated with Endor Labs’ platform offerings.
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