Senior Integrations Engineer

MCP is how AI connects to tools and data — the standard created by Anthropic and adopted by OpenAI, Google, Microsoft. We know because we helped establish it.

Our team built AI Actions for OpenAI, shipped Zapier Agents to millions of users, and launched the first remote MCP server with Anthropic. We're now building what enterprises need to adopt MCP safely.

Runlayer is the control plane for enterprise MCP — security, observability, and management that lets organizations connect AI to their systems without the risk. We raised $11M from Khosla Ventures and Felicis, and the creator of MCP is on our cap table.

We're a team of 15, mostly engineers, shipping fast and signing customers. If you want to work at the center of how AI gets things done — this is the moment.

We're hiring a Senior Integrations Engineer to build the connective tissue between AI and the world's enterprise software—creating and maintaining MCP servers that power how AI agents interact with critical business tools.

• Impact. Your integrations will be the hands and eyes of AI agents across thousands of workflows. Every MCP server you build unlocks new possibilities for our customers.

• Excellence. You'll work alongside engineers who obsess over API design, reliability, and developer experience—building integrations that just work.

• Ownership. You'll own the full lifecycle of integrations from design to deployment, with real autonomy over technical decisions.

• Build and maintain MCP servers. Create robust, well-documented connectors to enterprise platforms like Salesforce, HubSpot, and Jira.

• Design for reliability. Handle auth flows, rate limits, pagination, webhooks, and edge cases so AI agents can operate seamlessly.

• Ship custom enterprise integrations. Work with the team to build bespoke MCP servers for high-value customer use cases.

• Improve our integration infrastructure. Contribute to shared tooling, testing frameworks, and patterns that make building new integrations faster.

• Stay current with APIs. Monitor third-party API changes and proactively update integrations to prevent breakages.

• Document thoroughly. Write clear documentation so both AI agents and humans understand how to use your integrations effectively.

• Strong TypeScript and Python skills. You write clean, maintainable code and understand async patterns deeply.

• Enterprise API experience. You've integrated with complex APIs—OAuth2 flows, SOAP endpoints, rate limiting, pagination.

• AI/LLM fluency. You've built with AI, understand how LLMs consume tools, and ideally have hands-on MCP experience.

• Systems thinking. You understand how integrations fit into larger architectures and can design for scale and maintainability.

• Self-directed. You can take a target API and figure out the best way to expose it as an MCP server without hand-holding.

• MCP contributor. You've built or contributed to MCP servers before.

• Enterprise software background. You've worked at or built integrations for Salesforce, Workday, ServiceNow, or similar platforms.

• DevTools experience. You've built SDKs, CLIs, or developer-facing infrastructure.

We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.

• 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.

Not quite the right fit? Reach out to [email protected] with details about your experience and interests.