How to Automate Your Job Search with Career-Ops

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I discovered Career-Ops while browsing GitHub for job search automation tools. Its sheer scope caught my attention. This is not just another resume parser. It’s a full command center that turns Claude Code into a systematic job-search pipeline. Built by santifer, Career-Ops scans career pages across 45+ tech companies including Stripe, Anthropic, and OpenAI. It finds matching roles, rewrites your CV with 14 skill-matching modes, and generates ATS-optimized PDFs via Playwright. All while providing a terminal dashboard to monitor batch processing in real time.

career ops repo

Career-Ops is an open-source system designed for serious, technical job seekers who want to automate and scale their entire application workflow. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that evaluates offers with a structured A-F scoring system across 10 weighted dimensions. It generates tailored PDFs with ATS-optimized CVs customized per job description. The system scans portals automatically like Greenhouse, Ashby, Lever, and company pages. It processes in batch, evaluating 10+ offers in parallel with sub-agents. Everything is tracked in a single source of truth with integrity checks.

Project Repository

Project link:
https://github.com/santifer/career-ops

How to Deploy & How It Works

The workflow is built around three core pillars.

  1. Scanning & Matching – crawls career pages of 45+ target companies, extracts job listings, and matches them against your profile using configurable skill-matching algorithms.
  2. CV Rewriting & ATS Optimization – rewrites your CV using one of 14 skill modes tailored to the specific position, then generates an ATS-friendly PDF via Playwright to pass automated screening systems.
  3. Batch Processing & Dashboard – lets you queue multiple job evaluations in parallel while a terminal dashboard gives real-time visibility into each sub-agent’s progress, success rates, and errors.
Threads user, in response to Career-Ops

Key features include company coverage of 45+ tech companies like Stripe, Anthropic, and OpenAI. There are 14 CV rewriting modes for precise customization. ATS optimization uses Playwright-generated PDFs that pass automated screenings. The scoring system provides A-F grading across 10 weighted dimensions. Batch processing enables parallel evaluation of 10+ offers with sub-agents. Portal support includes Greenhouse, Ashby, Lever, and custom career pages. The terminal-based real-time dashboard monitors everything.

The Verdict / The Catch

The project has sparked lively discussion. Some users call it dystopian, reflecting the tough state of tech jobs. Others see it as a necessary automation step that replaces costly staffing agencies. Career-Ops is a clear example of how AI can be leveraged not just to assist, but to completely systematize a high-stakes, repetitive process. If you’re a technical job seeker tired of manual applications and spreadsheet tracking, Career-Ops might be the command-center upgrade you’ve been waiting for.

Threads user, in response to Career-Ops
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About the author

Hairun Wicaksana

Hi, I just another vibecoder from Southeast Asia, currently based in Stockholm. Building startup experiments while keeping close to the KTH Innovation startup ecosystem. I focus on AI tools, automation, and fast product experiments, sharing the journey while turning ideas into working software.

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