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Runlayer

Zero-trust MCP security platform for enterprises

Deployment Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in a customer-facing technical role such as Deployment Strategist, Technical Account Manager, Customer Success Engineer, Solutions Architect, professional services, or technology consulting.
  • Consulting or operating experience understanding how a company works from executive level down, structuring ambiguous problems, and connecting products to business goals.
  • Proven ownership of multiple enterprise accounts with shared responsibility for renewals and expansion.
  • Ability to explain SSO, SCIM, MCP servers, AI clients, and access policies to engineers, and read logs and API responses to triage issues.
  • Experience running business reviews and enablement sessions with security, IT, and AI leaders, including CISO and CTO stakeholders, and moving between root-cause details and executive-level narratives.
  • Ability to write actionable account plans, handoff notes, and engineering tickets.
  • Passion for AI and experience building and using agents in daily work.

Responsibilities

  • Own customer adoption and growth through deployment and successful release of AI infrastructure, taking customers from an initial production use case to enterprise-wide deployment.
  • Own a book of enterprise accounts and drive satisfaction, adoption, outcomes, and net dollar retention.
  • Coordinate the customer's security, IT, and AI teams, connecting business leaders and technical stakeholders around a deployment plan.
  • Partner with Account Executives on account growth and renewals, and with Forward Deployed Engineers on technical rollouts.
  • Take ownership of each account's success criteria, rollout plan, and open issues, and guide the path from initial deployment to widespread adoption while the Forward Deployed Engineer runs the technical rollout.
  • Run a working cadence with customer security, IT, infrastructure, and AI teams, connecting business leaders with technical owners and advancing adoption toward customer AI goals.
  • Plan and run quarterly business reviews, readouts, and enablement sessions with the Account Executive, translating deployment progress into a business narrative for working teams and senior leaders.
  • Answer product how-to questions, guide customers through new features, and turn AI goals into a concrete plan spanning MCPs, skills, and agents.
  • Review account health consistently, act on risks proactively, triage technical issues, hand issues to support with resolution context, and keep customers informed.
  • Own renewal readiness, prepare renewal plans 90 days ahead, identify expansion opportunities during engagements, and coordinate with Account Executives and Forward Deployed Engineers to pursue them.
  • Share field learnings with Product and Sales and improve deployment processes.

Desired Qualifications

  • An active GitHub profile, software built independently, or AI hobby projects.
  • Experience at an AI or data platform company.
  • Post-sale experience at a security, identity, or developer infrastructure company.
  • Experience supporting a self-hosted product running on AWS, Kubernetes, or Terraform.
  • Experience building customer health scoring or dashboards in SQL.

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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