MintMCP Logo

MintMCP

Founding Operations (Recruiting Coordinator / People Coordinator)

Posted 2 Days Ago
Be an Early Applicant
Hybrid
2 Locations
Mid level
Hybrid
2 Locations
Mid level
Own recruiting coordination and people operations, including interview scheduling, candidate experience, onboarding, HR operations, compliance processes, and documentation. Build and improve scalable recruiting and onboarding workflows, use AI agents to automate work, and ensure candidates and new hires have a smooth, well-organized experience. The role is hybrid in the San Francisco Bay Area and offers opportunities to grow into broader people operations responsibilities.
The summary above was generated by AI
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.

The Job

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.

About You
  • 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.

Nice to have:
  • 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.

What we offer:
  • 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

 
 
 
 
 

Similar Jobs

Yesterday
Hybrid
2 Locations
Mid level
Mid level
Artificial Intelligence • Cloud • Security • Infrastructure as a Service (IaaS)
Own recruiting coordination and people operations, including interview scheduling, candidate experience, onboarding, HR operations, compliance, and process documentation. Build and improve recruiting and onboarding workflows, automate processes with AI agents, and ensure new hires are prepared from day one. Partner closely with founders in a fast-paced, in-person Bay Area environment.
Top Skills: Agentic WorkflowsAi AgentsAshbyClaudeCodexGreenhouseMcp
6 Minutes Ago
Hybrid
Sunnyvale, CA, USA
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads and grows a full-stack engineering team building GM’s commercial eCommerce platform. Owns the technical roadmap, architecture, system design, code reviews, incident resolution, and end-to-end software delivery across catalog, billing, payments, and monetization services. Partners with Product, Design, Business, and Sales stakeholders while ensuring fault tolerance, financial data integrity, compliance, operational excellence, and production reliability.
Top Skills: Durable LogsEnterprise ErpEvent SourcingEvent-Driven ArchitectureIdempotent ApisOrdered MessagingPayment ProcessorsPci-DssSoxTax Automation
7 Minutes Ago
Remote or Hybrid
2 Locations
171K-261K Annually
Senior level
171K-261K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and build large-scale mapping algorithms and geospatial data systems for automated map reconstruction and maintenance. Develop lane, road-network, geometry, topology, and map-conflation systems; process sensor and third-party data through distributed pipelines; apply machine learning and computer vision for feature extraction and change detection; and create automated validation and quality systems. Partner with perception, localization, simulation, and platform teams while mentoring engineers and driving technical problems into production.
Top Skills: C++Computer VisionDistributed Data PipelinesGdal/OgrGeojsonGeopandasH3Machine LearningOsmPostgisPythonS2Slam

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account