About The Position
AI is transforming how every company operates, but most enterprises are stuck. They want to move fast with AI agents, tools, and workflows, but they can't do it safely. We're fixing that. Our team built AI Actions for OpenAI, shipped Zapier Agents to millions of users, and launched the first remote MCP server with Anthropic. The co-creator of MCP is on our cap table. We helped establish the protocol, and now we're building the platform enterprises need to actually use it. Runlayer is one platform for MCPs, Skills, and Agents. Purpose-built security, fine-grained governance, and complete observability so organizations can push AI forward across the entire company without the risk. We raised $11M from Khosla Ventures and Felicis, and customers include Gusto, Instacart, and Opendoor. We're a team of 25, mostly engineers, shipping fast. If you want to work at the center of how AI gets things done, this is the moment. As our second Security Engineer, you'll build the security scanning and detection products that protect enterprise AI. You own the Runlayer Watch products (static and dynamic scanning), shadow detection of unregistered agents and servers, and AppSec for the platform itself. Why You'll Thrive Here Impact: Build the security layer for the AI agent infrastructure category, directly shaping how enterprises adopt AI safely Excellence: Work alongside founders from Zapier's AI team and a team of senior engineers from top cyber backgrounds Ownership: Own detection products end-to-end, from threat modeling through shipped features
Requirements
- 8+ years in security engineering with deep experience in application security, security tooling development, or endpoint detection
- Builder, not operator. You've created scanning or detection systems: parsers, rule engines, analysis pipelines.
- Experience with shadow IT detection, asset discovery, or endpoint monitoring in enterprise environments
- Strong Python skills (our scanning pipeline and platform backend are Python/FastAPI)
- Understanding of API and gateway attack patterns: SSRF, token theft, injection, supply-chain attacks
- Awareness of emerging AI/LLM security threats: prompt injection, tool poisoning, jailbreaking, indirect prompt injection through tool responses
Nice To Haves
- Experience with MCP, AI agents, or LLM security specifically
- Background in building commercial security products (not just internal tooling)
- Network in enterprise security (SVCI, Israeli security community, etc.)
Responsibilities
- Build and improve Watch products: static and dynamic scanning for MCP servers, skills, plugins, and agent behavior detection on endpoints
- Develop shadow detection: identify unregistered MCP servers, skills, plugins, and agents running outside governance across the enterprise
- Own AppSec for the platform: penetration testing, vulnerability management, dependency scanning, and security hardening of the control plane
- Build automated version scanning: CI/CD-integrated security checks that run on each new MCP server version, skill update, or plugin release
- Extend detection coverage to CLI agents (Codex, OpenCode) and browser-based agents
Benefits
- Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.
- Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave.
- Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
- Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.
- Health benefits — comprehensive health, dental, and vision coverage.
- Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
