---
title: 'Account Executive at MintMCP'
canonical: 'https://feeny.ai/job/account-executive-mintmcp-san-francisco-rxf50f6xkx60'
type: 'job'
last_seen: '2026-09-10'
---

# Account Executive at MintMCP

- **Company:** MintMCP
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/mintmcp/59ba0b65-522d-4a82-980b-f237aa20e8a7

## Job description

## About Us

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.

AI-Native Startup 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.

Traction 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.

The Job You will carry a full book: handle high inbound volume, prospect and build your own pipeline, run discovery and POCs, navigate security review and procurement, close, and expand the account. You sell to senior technical buyers, often the CTO, CISO, or Head of AI. At the same time, you help build the early sales motion around you: qualification, forecasting, deal reviews, and the operating rhythm a small team needs to sell with rigor. You report to the CEO, help decide who we hire next, and turn what is working into a teachable playbook. As the company moves upmarket, you can grow into larger, CISO-level enterprise deals and into broader sales leadership. The role is in person, with travel to meet customers.

## About You

- You have owned full-cycle sales for technical infrastructure or security products, selling to AI, security, or engineering buyers. You have closed deals in the mid-six figures and up, and consistently beaten your targets.
- You build pipeline from zero, not just work inbound, and you can show how you sourced and created opportunities.
- You have built an early sales motion before: playbook, qualification, forecasting, and deal inspection, without much infrastructure around you.
- You are trained in a sales methodology, MEDDIC preferred, and run it with real rigor, not just the vocabulary.
- You have sold in enterprise or regulated environments, where security review, procurement, legal, and multi-threading are part of the deal.
- Strong sellers want to work with you, and you raise the bar for the people around you.
- You are senior and still want to sell. You do not need a big title to do meaningful work.
- You are AI-native, or will get there fast, and can speak credibly about AI infrastructure, MCP, and agents.
- You move fast without a lot of process, and you would rather build the playbook than inherit one.

Nice to have:

- Security, dev-tools, or infrastructure background.
- Founding GTM or first-sales-hire experience that grew into a team.
- Comfort representing the company in the field: conferences, dinners, and in-person meetings with CISOs and AI leaders.
- Social selling on LinkedIn, or using intent signals to build prospecting lists.

What we offer:

- Competitive base, commission, and significant equity.
- Full ownership of your deals, with room to build the motion and grow into leadership.
- Direct access to the CEO, customers, and product decisions.
- 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

## About MintMCP

## Company Overview
- **One-liner**: MintMCP provides an enterprise governance platform that secures and manages AI agents and Model Context Protocol (MCP) servers, giving every agent its own identity and permissions.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco Bay Area, California, United States
- **Founded**: 2023
- **Founders**: Jiquan Ngiam, Vijay Vasudevan, Bozhi See

## Core Business
- Primary industry/industries: Enterprise AI Infrastructure, Agent Governance, Security & Compliance
- Target customers: Engineering and security teams at enterprises deploying AI coding agents (Claude, Cursor, Copilot) who need to connect them securely to data sources (Slack, Jira, Snowflake, GitHub).
- Mission or purpose statement: Make it safe for enterprises to let AI agents interact with company data by providing a governance layer that tracks and controls every tool call.

## Products & Services
- **[MCP Gateway]**: A hosted gateway connecting 100+ enterprise MCP servers (Slack, Google Drive, Jira, Snowflake, GitHub, Salesforce, etc.) to AI agents with centralized credential management, SSO, and RBAC. Type: SaaS / Infrastructure.
- **[Agent Monitor]**: Real-time visibility into every tool call an AI agent makes, with complete audit trails, PII detection, and secret scanning. Type: SaaS / Monitoring tool.
- **[Agent Identity & Permissions]**: Each agent receives a persistent, non-human identity with scoped, per-tool permissions — replacing shared service accounts. Type: Platform capability.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding — USD $3.8 million (Seed round, closed 2023-12-07)
- **Annual Revenue**: USD $300,000 (estimated, per LinkedIn/Zoominfo data)
- **Notable Investors/Partners**: Coatue Management, Hustle Fund, Maven Ventures, WVV Capital; angel investors include Andrej Karpathy, Jeff Dean, Scott Belsky, Tom Willerer, and Brian Shultz.
- **Growth Signals**: Founders are early members of Google Brain (helped build TensorFlow and Coursera); advised by Andrew Ng; already trusted by Coursera, Cursor, Flux AI, Harvey AI, AC Transit, and others; SOC 2 Type II certified.

## Competitive Advantages
- **Founder pedigree**: Team built TensorFlow and Coursera while at Google Brain — deep technical credibility in AI infrastructure.
- **Enterprise readiness out of the box**: SOC 2 Type II, SSO (SAML/OAuth), RBAC, complete audit trails, PII/secret scanning — built for compliance-heavy buyers.
- **100+ hosted MCP connectors**: A ready-made ecosystem that removes the friction of self-hosting and managing MCP servers.
- **Product philosophy**: "Agent-native" — not bolted onto existing IAM systems, but purpose-built for the emerging agent ecosystem.

## Strategic Focus
- **Scaling enterprise adoption**: Moving from early adopter cohort (AI-native startups) into larger regulated enterprises.
- **Building the agent governance standard**: Positioning itself as the default identity and security layer for all MCP-compatible clients (Claude, Cursor, Copilot, ChatGPT).
- **Founding GTM hire**: Actively building out go-to-market to shape how enterprises discover and evaluate AI infrastructure.
- **Autonomous org vision**: The company openly experiments with AI agents running parts of the business itself.

## Why Work Here
- **Culture**: "Claude-pilled" — the team is deeply invested in building alongside AI agents. Described as "a small team building alongside many agents" with an interest in the future of autonomous organizations.
- **Work Model**: Hybrid — employees engage in a combination of remote and on-site work. Offices located in the San Francisco Bay Area and 7 total locations.
- **Engineering Philosophy**: Build infrastructure that powers enterprise MCP deployments; work on agent monitoring, gateway security, and the connective tissue between AI and enterprise data.
- **Team**: ~8-10 employees. Early stage means high impact, ownership, and the chance to shape product and culture from the ground up.
- **Hiring Focus**: Currently hiring a Founding Engineer and a Founding GTM — both roles are foundational to building the company.
- **Application Process**: Accepts applications via email (hiring@mintmcp.com) and even supports applications through MCP directly (mintmcp.com/hiring/mcp) — a nod to the agent-first ethos.

## Sources
1. [mintmcp.com](https://www.mintmcp.com/)
2. [mintmcp.com/about](https://www.mintmcp.com/about)
3. [mintmcp.com/hiring](https://www.mintmcp.com/hiring)
4. [builtin.com](https://builtin.com/company/mintmcp)
5. [linkedin.com](https://www.linkedin.com/company/mintmcp)

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