Workopia is a free MCP server that provides AI-powered job search, resume building, and career advice. It works with Claude Desktop, ChatGPT, OpenClaw, Cursor, and any MCP-compatible AI assistant. Jobs are sourced directly from employer career pages, not scraped from job boards.

How do I add Workopia to Claude Desktop?

Open Claude Desktop, go to Settings, then MCP Servers, and click Add Server. Enter the URL: https://workopia.io/api/mcp-gpt. No API key is needed. You can then search jobs, build resumes, and get career advice directly in your Claude conversations.

Yes, Workopia is completely free to use. No subscription, no payment, and no login required. Job search and career advice are unlimited. Resume generation is rate-limited to 20 per hour per user to prevent abuse.

Where does Workopia get its job data?

Workopia sources jobs directly from employer career pages and ATS feeds such as Lever. It does not scrape LinkedIn, Indeed, SEEK, or other job boards. Every job listing links to the official employer posting.

Does Workopia store my resume?

No. Resume content submitted via MCP is processed in-memory for PDF generation and discarded after the response. No copies are saved server-side. Workopia does not store conversation history, personal information, or user identity from MCP interactions.

What AI platforms does Workopia work with?

Workopia works with any MCP-compatible AI client, including Claude Desktop, Claude Code, ChatGPT, OpenClaw (which supports Slack, Discord, WhatsApp, Telegram, and more), Cursor, Windsurf, and JetBrains IDEs. Just add the endpoint URL: https://workopia.io/api/mcp-gpt.

Vice President Of Engineering, Devops Engineering at GitLab

Vice President Of Engineering, Devops Engineering

GitLab

Remote

Not specified; not specified; benefits include fle...

Leading large distributed engineering organizations

Modernizing monolithic to modular architecture

Ai-native engineering practices and workflows

** GitLab is seeking a Vice President of Engineering for its DevOps Engineering team, tasked with overseeing a globally distributed organization and shaping the company's AI-powered DevSecOps strategy. The ideal candidate will possess a strong technical background, experience in managing large engineering teams, and a proven track record in modernizing software architectures. **

Job Summary

This role involves overseeing a globally distributed engineering organization that sits at the center of GitLab's product and platform strategy.
The successful candidate will champion AI-native engineering practices across workflows, platforms, and products including developer tooling and CI/CD.
GitLab offers flexible paid time off, equity compensation, a growth and development fund, and home office support for full-time employees.

Matching Summary

Match Score: 75

Salary

Not specified; Not specified; Benefits include Flexible PTO, Equity, Growth Fund, Parental Leave, Home Office Support

Skills & Requirements

Must-have

Leading large distributed engineering organizations
Modernizing monolithic to modular architecture
AI-native engineering practices and workflows
Scaling design systems and developer tooling
Remote-first asynchronous documentation culture

Nice-to-have

Experience with Fortune 100 enterprise clients
Strong background in frontend platform development
Track record of building high-performance teams
Expertise in incident management and reliability
Ability to drive innovation through AI integration

Key Requirements

Experience leading Directors and Senior Managers
Direct experience modernizing monolithic applications
Background in scalable user-facing systems
Familiarity with AI-powered product development
Proven ability to operate in remote-first environments

Work Rights

Not specified