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Runlayer

Zero-trust MCP security platform for enterprises

Forward Deployed Engineer

Pre-Sales Solution Engineering +1Updated on Nov 11
Full-time

About the Job

Requirements

  • At least 5 years of Forward-Deployed Engineer, Solutions Architect, or Sales Engineer experience, with a computer science background.
  • Background in solutions engineering, pre-sales, or consulting with substantial technical depth, including the ability to independently write and debug production code.
  • Hands-on experience building AI agents and the ability to discuss agent architecture, memory, and tool design.
  • Depth in at least one relevant area: identity and authentication, MCP, agent frameworks, security, deployment, networking, or observability.
  • Use AI in workflows to build, not only to prompt.
  • Ability to engage in technical discussions with senior technical executives.
  • High ownership and drive to ensure solutions are delivered.

Responsibilities

  • Own proof-of-concept outcomes for enterprise customers.
  • Run pre-sales technical deep dives, demonstrations, and architecture discussions.
  • Troubleshoot integrations across customer environments, including identity, security, and networking.
  • Build custom configurations and one-off solutions when the standard path does not fit.
  • Run technical onboarding sessions and adoption workshops.
  • Serve as the technical expert during sales cycles and answer questions from senior engineers.

Desired Qualifications

  • Prior solutions, pre-sales, or forward-deployed experience at a high-growth B2B startup.
  • Open-source contributions or content in agent, identity, or policy spaces.

About the Company

Runlayer

Zero-trust MCP security platform for enterprises

Runlayer provides an all-in-one security platform that makes the Model Context Protocol (MCP) enterprise-ready, offering a gateway, threat detection, observability, and enterprise development tools to secure MCP-based AI integrations. It acts as a command-and-control plane with a centralized registry to host and approve MCP servers, enforcing zero-trust security, fine-grained access control with IAM integrations (Okta/Entra), and audit trails for compliance. The company differs from other AI security solutions by focusing specifically on MCP governance, backed by deep MCP and security expertise and guidance from the original MCP creator at Anthropic. Its goal is to help enterprises scale AI safely and compliantly by providing governance, control, and visibility over MCP-based AI agents.

Company size
51-200
Company stage
Series A
Total funding
$41M
Headquarters
New York City, New York
Founded
2025

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