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.

Engineering Manager, Ai Engineering:workflow Catalog at GitLab

Engineering Manager, Ai Engineering:workflow Catalog

GitLab

Remote

Manage engineering teams

Technical judgment and design

Ai product development

Guide a distributed team of engineers working on GitLab's AI catalog to deliver roadmap commitments

Job Summary

Guide a distributed team of engineers working on GitLab's AI catalog to deliver roadmap commitments.
Coach engineers through feedback and enablement to improve performance, growth, and retention.
Work with product and UX counterparts to define requirements and deliver AI features that address customer needs.

Matching Summary

Guide a distributed team of engineers working on GitLab's AI catalog to deliver roadmap commitments.

Skills & Requirements

Must-have

Manage engineering teams
Technical judgment and design
AI product development
Fast-paced environments
Distributed team collaboration

Nice-to-have

Agentic AI familiarity
Continuous delivery practices
Clear communication skills
Inclusive team culture
Observability and reliability engineering

Key Requirements

Experience managing engineering teams
Solid technical background in software development
Hands-on familiarity with agentic AI
Ability to work effectively in fast-paced environments
Clear communication skills

Work Rights

Not specified

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Cover Letter

Match Score

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