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.
Why You'll Thrive HereImpact: Directly influence the technical direction and capabilities of our core platform, enabling transformative outcomes for our users and customers.
Excellence: Collaborate with top engineers and visionary leaders at the intersection of AI, infrastructure, and product development.
Ownership: Take end-to-end responsibility for key projects, from idea to deployment, iterating quickly to deliver tangible value.
Architect and implement robust, scalable systems that underpin our platform and customer solutions.
Tackle unique integration, data transformation, and workflow challenges using a combination of traditional coding and AI technologies.
Work directly with stakeholders—including enterprise customers—to gather requirements and translate business needs into technical solutions.
Rapidly prototype, validate, and iterate on new features and product ideas based on feedback and real-world usage.
Mentor and collaborate with other engineers, setting exemplary standards for code quality, technical design, and problem-solving.
Contribute to the evolution of engineering best practices and core platform capabilities.
Extensive software engineering experience (typically 7+ years), including system architecture, design, and hands-on development with modern languages
Demonstrated ability to deliver solutions in customer-facing, high-impact environments.
Deep experience building, integrating, and deploying APIs, as well as familiarity with databases and enterprise systems.
Proven track record working with or building systems involving AI/ML technologies.
Excellent collaboration and communication skills—you can connect technical and business domains seamlessly.
Ability to thrive in a fast-paced, iterative environment, balancing rapid delivery with technical excellence.
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.
Similar Jobs
What We Do
Runlayer securely connects AI to the enterprise stack with custom threat detection, fine-grained permissions, and complete observability for AI deployments.

%20(1).png)






