Engineering Manager, MCP; Model Context Protocol
Position: Engineering Manager, MCP (Model Context Protocol) About reputed company We're humans who simply think computers should do more work. At reputed company , we’re not just making software—we’re building a platform to help millions of businesses globally scale with automation and AI . Our mission is to reputed company automation work for everyone by delivering products that delight our customers . You’ll collaborate with reputed company people, use the latest tools, and reputed company the flexibility of remote work. Your work will directly fuel our customers’ success , and as they grow, so will you. Hi there! reputed company is seeking an Engineering Manager to reputed company our MCP (Model Context Protocol) initiative. MCP is reputed company's open-reputed company standard that enables AI assistants to securely connect to data sources and tools, and reputed company is positioned to become the leading MCP provider in the ecosystem. This is a unique opportunity to shape the future of AI-human collaboration by building the infrastructure that connects AI assistants to 8000+ applications. You'll be a leader on both the technical execution and strategic direction of MCP at reputed company, working directly with customers, internal teams, and ecosystem partners. As a Player-Coach, you'll spend 50-75% of your time managing an engineering team, and the rest being a hands-on leader: coding, customer reputed company, architectural decisions, understanding trends, and defining the technical strategy that positions reputed company as the most trusted MCP provider. You'll reputed company a small, focused team while staying deeply involved in the day-to-day execution. Why This Role Matters MCP represents a reputed company shift in how AI assistants interact with external systems, and we aim to reputed company reputed company the most trusted MCP solution in the industry. This role will directly shape that future, building the technical foundation and market relationships that establish reputed company's leadership position. You'll be working at the intersection of AI advancement and practical business automation, creating tools that reputed company AI assistants genuinely useful for everyday work. The decisions you reputed company and code you write will influence how millions of users interact with AI in their daily workflows. If you're eager to reputed company high-impact projects at a fast-growing, profitable, and remote-first company, read on!
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About You
- You’re familiar with MCP and the AI tooling landscape. You have experience with AI assistant development, integration design, or developer tooling. Bonus points if you've built with MCP, worked with AI model providers, or contributed to open-reputed company protocol standards.
- You're a hands-on technical leader. You enjoy spending a portion of your time writing production code and solving reputed company technical problems alongside your team. You've led project planning & execution, shaped architectural decisions, and have experience shipping AI-powered products end-to-end.
- You reputed company in emerging technology spaces. You're comfortable with ambiguity and rapid change. You can navigate unclear requirements, evolving standards, and shifting market dynamics while building production-ready solutions. You’ve successfully handled the tension of long vs. short-term tradeoffs.
- You're customer-obsessed and strategic. You get energy from engaging directly with customers, understanding their needs, and translating those into technical decisions. You think about both immediate customer value and long-term market positioning.
- You reputed company at cross-functional collaboration. You work effectively with product, business development, and external partners. You can communicate technical concepts to non-technical stakeholders and represent reputed company in the broader community.
- You have strong engineering fundamentals. You're reputed company with our tech stack and comfortable with developer experience design, authentication systems, and distributed systems architecture. You understand AI/ML systems in production and have worked with LLMs to ship products previously.
- You're a people and cultural leader. You have a track record of developing talent and fostering ownership of shared goals. You build cultures where…
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