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.

Staff Product Manager, Ai Agent Orchestration at GitLab

Staff Product Manager, Ai Agent Orchestration

GitLab

Remote, US

Base: $168,000 - $285,600 usd; bonus/equity: not s...

Remote

Deep product management experience

Agentic ai product management expertise

Ai orchestration and agent memory knowledge

GitLab is seeking a Staff Product Manager for its AI Agent Orchestration platform, focusing on defining and driving product strategy for intelligent agents within their DevSecOps environment. The role requires collaboration with engineering and design teams to enhance AI capabilities, fostering human-agent collaboration

Job Summary

This role focuses on defining the core AI agent orchestration platform including agent context, memory, and background agents.
The position requires partnering closely with Engineering and Design to translate complex technical needs into clear product direction.
GitLab embraces AI as a core productivity multiplier, expecting all team members to incorporate AI into their daily workflows.

Matching Summary

Match Score: 85

Salary

Base: $168,000 - $285,600 USD; Bonus/Equity: Not specified; Benefits: Flexible PTO, health, finances, well-being support

Skills & Requirements

Must-have

Deep product management experience
Agentic AI product management expertise
AI orchestration and agent memory knowledge
Platform product definition skills
Technical stakeholder partnership

Nice-to-have

Strategic thinking in ambiguous environments
Strong written communication skills
Experience with AI-native platforms
Ability to drive discovery processes

Key Requirements

Previous agentic AI product management experience
Ownership of complex technical products from early definition through delivery
Strong product judgment in fast-evolving spaces

Work Rights

Not specified