Runlayer Seed

Forward Deployed Engineer

Remote Remote Mid (3-5 yrs) Added Jun 16

About the role

ABOUT RUNLAYER 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. We helped establish the protocol, and now we're building the platform enterprises need to actually put MCP to work. Runlayer is one platform for MCPs, Skills, and Agents: purpose-built security, fine-grained governance, and complete observability so organizations can go all-in on AI across the entire company without the risk. We just raised a $30M Series A led by Felicis, with participation from Khosla Ventures, bringing our total raised to $42M. Already trusted by Gusto, Instacart, Opendoor, dbt Labs, Cursor, and Decagon. We're a team of 35, mostly engineers, shipping fast. Agent operators on Runlayer grew 5x in four weeks while human operators stayed flat. The shift to agentic work is already showing up in our own usage. ABOUT THE ROLE As our Forward-Deployed Engineer, you'll own the technical side of customer GTM at Runlayer. You'll run POCs, troubleshoot integrations, and work closely with enterprise customers to get them live. WHY YOU'LL THRIVE HERE - Impact: if a POC ships, you made it happen. You're directly responsible for turning prospects into customers. - Excellence: work alongside experienced engineers at the intersection of enterprise sales and deep technical work. - Ownership: own customer outcomes end-to-end, from first technical deep dive through full deployment. WHAT YOU'LL DO - Own POC outcomes for enterprise customers. - Run pre-sales technical deep dives, demos, and architecture discussions. - Troubleshoot integrations across customer environments (identity, security, networking). - Build custom configurations and one-off solutions when the standard path doesn't fit.

Industry

AI / MCP Security

Top skills for this role

  • AI agent building
  • enterprise POC ownership
  • identity/auth/security depth

Languages

not specified

Frameworks & tools

MCP (Model Context Protocol)agent frameworksidentity/auth platformsobservability tooling

AI / ML skills

AI agent architecturememory designtool designAI-native workflowhands-on LLM agent building

Customer skills

executive presence, pre-sales technical deep dives, demos, architecture discussions, technical onboarding workshops, POC ownership, enterprise customer integration

Domain knowledge

identity/auth, security, networking, deployment, observability

Travel: not specified
Equity: yes

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