Level

MintMCP

Founding Growth Marketer

AI in this role

claudecodex
ai-agents

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.

 

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.


About you

  • You've run growth for a technical B2B product — infrastructure, security, dev tools, or similar — and you've carried a pipeline or SQL number, not just contributed to campaigns (typically 4+ years running acquisition or growth programs).

  • You're systems- and experiment-oriented. You map the funnel end to end, instrument it, find where leads leak, and run fast, structured experiments — and you keep the program from falling apart while you do it.

  • You build what you design. You're hands-on with the stack: marketing automation, CRM, sequencers and enrichment/scoring tools, and the major paid channels (LinkedIn, Google, retargeting).

  • You've run an account-based, multi-channel outbound motion — email and LinkedIn at volume, plus retargeting on the same accounts — and you're comfortable operationalizing an AI-assisted, SDR-style system

  • You build a rich understanding of a technical buyer quickly, even in a space you're new to. You know where platform, IT, security, and AI buyers actually show up — LinkedIn vs. Reddit vs. X vs. in person — and you message differently for each channel and audience.

  • You own the number. You're fluent in pipeline, funnel conversion, MQL/SQL, CAC and payback, and you let the data decide where the next dollar goes.

  • You're agent-native — you use Claude and agents to scale your own output — with the judgment to know when AI sharpens the work and when it just produces undifferentiated noise. What you ship is differentiated and tied to business goals.

  • You move fast and thrive without much structure. You've built demand in an early-stage environment and added structure without adding bureaucracy.

  • You partner well with founders and a scaling sales team, and you're energized by getting close to customers.

Nice to have

  • Familiarity with MCP, AI agents, or enterprise security and governance.

  • You've marketed to enterprise buyers — CIO, CISO, platform/IT, or AI buyers.

  • You've built or run an in-house outbound/ABM machine yourself

  • Experience spanning both self-serve/PLG and sales-led motions.

  • Enough range in positioning and messaging to write campaign-level copy

  • You've been a founding or early demand hire and built the engine from zero.

Details

In person, San Mateo and San Francisco. Competitive salary and meaningful early-stage equity.

How we score this

Founding Growth Marketer at MintMCP scores 49 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsClaudeCodex

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used Claude in your day-to-day work.
  3. What are the limits of Codex that you've run into, and how did you work around them?
  4. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  5. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: AI Agents, Claude, and Codex. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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