MintMCP
AI agents are everywhere in the enterprise. Nobody knows what they're doing.
When Claude, Cursor, or a custom agent touches Slack, Snowflake, or GitHub, who can see what happened? Right now: almost no one. There's no identity layer for agents, no permissions framework, no audit trail that works across all your AI systems at once.
MintMCP gives every user and every AI agent its own identity and permissions, so companies can see exactly which agent did what, enforce guardrails in real time, and govern every AI-to-data connection from a single control plane, regardless of which model or agentic framework is doing the work.
The Model Context Protocol (MCP) is the emerging standard for how agents connect to tools and data: Anthropic built it, and OpenAI, Microsoft, and Google all adopted it. MintMCP's bet is that the governance layer sitting on top of MCP will be the most critical piece of enterprise AI infrastructure built in the next five years, and they're building it now.
Week-over-week revenue growth, almost entirely inbound.
Since launching in February, MintMCP has signed dozens of enterprise customers and is growing without a single outbound sales hire. Customers are finding us.
Fewer than 10 people, 25+ agents already on the team.
Those agents run real work across sales, revenue operations, and engineering, and the plan is to keep agentifying as much of the company as possible. If you want to build agents and use them every day as the core of how you work, you'll find few other roles like this.
Two engineers who've built things that ended up running under most of the world's AI.
- Stanford CS, researched under Andrew Ng in the deep learning lab
- Co-created Stanford's first online ML course, before Coursera was Coursera
- Founding team at Coursera, scaled from zero to millions of learners globally
- Senior Staff Engineer at Google Brain. ML systems at planetary scale
- Built agentic harnesses, sandboxes, and custom tool-call infrastructure years before MCPs existed
- PhD, Carnegie Mellon University
- Co-created TensorFlow at Google Brain, the framework running under most of the world's AI today
- Built AutoML and neural architecture search infrastructure at Google scale
- Contributed to Waymo's perception and planning systems
- 10+ years shipping production AI infrastructure from research to real-world deployment
The people who built the AI layer most software runs on, betting on the next one.
The control plane doesn't exist yet. The telemetry pipeline, the identity layer, the governance engine: none of it is built. You're joining to make the foundational decisions that will still be running when this is a very large company, working directly with Jiquan and Vijay across product, customers, and the internal agent stack that runs MintMCP itself.
- Own the architecture of MintMCP's core infrastructure, identity, permissions, telemetry, governance
- Build the MCP control and deployment plane that works across all AI systems simultaneously
- Design and ship the security layer for enterprise-grade agent governance
- Work directly with customers, understand what they need and go build it
- Contribute to the internal agent stack, 25+ agents running the business, and growing
- Define engineering culture and patterns from day one
- 5+ years in backend or infrastructure engineering
- Deep fluency in distributed systems, you've owned things at scale, not just used them
- Experience with data pipelines, telemetry, or security infrastructure
- Track record of shipping production systems that others depend on
- Genuine excitement about AI agents, you want to build them, not just read about them
- Startup DNA: strong opinions, bias to action, no need for a complete spec
MintMCP is generating $$$ in new revenue week over week, almost entirely inbound, without a single commercial hire. The demand is there, the product is working, and nobody has built the commercial motion yet, so you're the person who figures out how to scale it. You'll talk to CTOs and platform engineering leads about a problem they feel viscerally, which means you need the technical fluency to earn that conversation.
- Build MintMCP's commercial motion from zero. ICP, outbound, enterprise sales, PLG
- Own the full funnel: first conversation to signed contract
- Define how MintMCP goes to market, strategy and execution, not just one or the other
- Talk to CTOs and platform engineering leads, earn the technical conversation
- Work directly with founders; your deals have first-class support from day one
- Build the foundation for a GTM team as the company scales
- 5+ years selling developer tools, infrastructure, or technical B2B SaaS
- Experience selling to engineering buyers, you can read an API doc and hold your own
- Track record of building pipeline from scratch, not inheriting it
- Early-stage company experience, you know what "figure it out" looks like in practice
- Genuine technical curiosity, you want to understand the product deeply, not just pitch it
- Energized by greenfield: an empty CRM is an opportunity, not a red flag