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California, United States
Hybrid
MintMCP helps companies put agents to work safely. We exist to help companies do more of their work with agents, and we build the infrastructure that makes a company's own work runnable by them. That has to start from trust. Our first product is an MCP gateway that gives those agents governed access to company data and tools.
Before agents can touch Slack, GitHub, Jira, Snowflake, internal databases, or production systems, you need to know what they can reach, what they did, and why they were allowed to do it. Most people carry far more permissions than any single task needs. If an agent uses your token directly, it inherits all of them. MintMCP scopes that access down to exactly what an agent needs to do its job and captures the data flows and audit logs security teams need. From there we are building the rest of the agent stack: connectors, monitoring, sandboxing, long-running agents, and memory, with the goal of becoming the system a company's work runs on.
We work in person in the San Francisco Bay Area. The structure is flat and the market moves fast, so you have a lot of latitude over what you work on and how.
We are AI-native. Everyone uses Claude and Codex every day, and we have more agents than employees. They run in Slack alongside the team and handle sales, marketing, deal ops, and engineering on the same gateway we sell to customers, and we are building an entire company operating system around them.
Since launching in February 2026, we have grown to 50+ paying customers, with strong inbound demand. Customers include Coursera, Arlo, and Braze. We are backed by Cowboy Ventures and Coatue, with angels including Frederic Kerrest (Okta), Michael Grinich (WorkOS), Andrej Karpathy, Jeff Dean, and Scott Belsky. Our founders are machine learning experts from Stanford, Berkeley, and CMU, with applied research at Google Brain and Waymo, and one co-founded Coursera.
You own how candidates and new hires experience MintMCP. From day one you do both the recruiting coordination (scheduling interviews fast, keeping candidates moving, making the process clean end to end) and the people ops around it (onboarding that makes new hires day-one ready, the HR operations that keep the team running, and the documented processes that replace tribal memory). You may not have done all of it before, and that is fine: we will teach you the parts you are missing. Process is the job here, so you should like building it.
We are an AI-native company. With our help, you'll build agentic workflows in our own product to streamline your work, so you're able to make better judgment calls. The role is hybrid in the Bay Area.
Likely 2 to 4 yrs as a recruiting coordinator, ready to take on recruiting ops and people ops from day one.
You have owned a process, not just worked tickets and schedules. You can point to something you built or fixed.
You love optimizing and automating. This is the builder seat, so that matters most here.
You have high attention to detail. You genuinely care about candidate experience, and you are organized enough that nothing slips.
You are a fast learner who is AI-native, or will get there fast.
You have a strong desire to grow, and you are excited to pick up the people ops side (onboarding, HR ops, and compliance) as we teach it.
You have built or directed AI agents or agentic workflows, not just used AI tools.
You have touched HR ops, onboarding, or compliance.
You have used an ATS like Ashby or Greenhouse.
You have built or improved a recruiting or onboarding workflow.
Competitive compensation and meaningful equity.
The chance to build recruiting and people ops at an AI-native company from the ground up, with room to grow.
Direct access to the founders and to how the company hires and runs.
Health benefits, on a team that puts family and health first.
Prefer to have your agent apply? Point it at https://www.mintmcp.com/hiring/mcp
