Mintmcp

Mintmcp

Technical Customer Success Manager

San Francisco, CA

Sponsorship not specifiedDetected 1 day ago
GitSnowflakeRESTMachine LearningJiraAccount ManagementProcurementCustomer SuccessResearch

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odds of building a lasting career here

16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

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About the role

  • 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.

Responsibilities

  • Full ownership of your accounts, with room to build the function and grow into leadership.
  • You can run a plan and drive it to an outcome across a customer's team, aligning stakeholders, tracking commitments, and keeping momentum.
  • You can hold your own with a technical buyer, explain what the product does and why it matters, and know when to pull in the team for the deep end.
  • You have built structure where there was none, playbooks, templates, cadences, and you would rather build the motion than inherit one.
  • You are calm under pressure and own the outcome when a customer is unhappy.

Requirements

  • Experience with enterprise rollouts where security review, procurement, and multi-threading are part of the relationship.

Skills

  • Our product gives those agents governed access to company data and tools.

Benefits

  • Competitive base, variable, and significant equity.
  • Health benefits, on a team that puts family and health first.

Company info

  • 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. Our product gives those agents governed access to company data and tools. That has to start from trust.
  • 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.
  • 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.
  • 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.

This listing is sourced directly from Mintmcp's careers page and normalized into a canonical job model.