career-ops logo, the “co” mark

Press & Brand Kit

career-ops is an open-source AI job search agent. It reads job listings, scores each one against your CV and drafts the application. It drafts and fills; it never submits. You press Submit.

Boilerplate, facts, logos and coverage below, free to reuse. Questions and fact-checks: hi@career-ops.org.

Writing about career-ops

The name
career-ops, lowercase and hyphenated, also at the start of a sentence. CareerOps, in CamelCase, is the practice named in the manifesto.
Who submits
It drafts and fills; it never submits. You press Submit.
The score
Each listing gets a score from 1 to 5 across five dimensions, with the reasoning.
The creator’s search
740 job listings evaluated, 68 applications, 12 interviews, 1 offer. He applied to 68 of the 740. It is one person’s search, not a promise.
Adoption
career-ops has no telemetry, so there is no user count. Public signals are GitHub stars, contributors and the hired stories. Stars are not users, the hired stories are not a success rate, and any number needs its date.
Where your CV goes
No backend of ours. Your CV goes from your machine to the AI provider you chose, and nowhere else.
Press mentions
The April 2026 feature ran in WIRED Greece. Please credit that edition.
The brand
Use the logo and wordmark as provided, without recoloring or redrawing them. Please don’t imply endorsement, partnership or sponsorship. The brand is never for promoting auto-apply or mass-apply tools.
Reuse
Quote the boilerplate and the thesis verbatim, and link to career-ops.org or the GitHub repository. Describe it as open source (MIT) and free for candidates. Please don’t say or imply that candidates pay for career-ops.
Built on career-ops
The official project is github.com/career-ops-hq/career-ops and career-ops.org. Anything else built on career-ops is a separate project, with its own authors and terms.

Official links

Boilerplate

Copy-and-paste descriptions. Pick the length that fits.

One line

career-ops is an open-source AI job search agent, free for candidates, that puts hiring leverage on the candidate’s side. https://github.com/career-ops-hq/career-ops

Short (~90 words)

career-ops is an open-source (MIT) AI job search agent, free for candidates, that puts hiring leverage on the candidate’s side. Today it runs on your own machine, inside the AI coding CLI you already use: no account, no telemetry, no backend of ours. Your CV goes from your machine to the AI provider you chose, and nowhere else. It drafts and fills; it never submits. You press Submit. It scans listings, scores them from 1 to 5 across five dimensions, tailors your CV per role and tracks the pipeline. https://github.com/career-ops-hq/career-ops

Standard (~200 words)

career-ops is an open-source (MIT) AI job search agent, free for candidates, that puts hiring leverage on the candidate’s side. Today it runs on your own machine, inside the AI coding CLI you already use: no account, no telemetry, no backend of ours. Your CV goes from your machine to the AI provider you chose, and nowhere else. It drafts and fills; it never submits. You press Submit. It works with Claude Code, Codex, Cursor, OpenCode, GitHub Copilot CLI and other CLIs, and free and local models work too. It scans company career pages on ATS platforms such as Greenhouse, Ashby, Lever and Workday, plus job boards in several countries, scores each listing from 1 to 5 against a published rubric of five scoring dimensions, generates an ATS-tailored PDF résumé per role, and tracks the pipeline in a local dashboard. Santiago Fernández de Valderrama Aparicio built it during his own 2026 job search (740 job listings evaluated, 68 applications, 12 interviews, 1 offer), then open-sourced it. It reached 50,000 GitHub stars in June 2026, about two months after the repository was created. In July 2026 he published The CareerOps Manifesto, naming the practice and its nine candidate rights. https://github.com/career-ops-hq/career-ops

Key facts

Name
career-ops (lowercase, hyphenated)
Category
Open-source AI job search agent · puts hiring leverage on the candidate’s side
Creator
Santiago Fernández de Valderrama Aparicio
License
MIT
Price
Free for candidates, forever.
Model
Local-first. No account, no telemetry, no backend of ours: your CV goes from your machine to the AI provider you chose, and nowhere else.
Inception
17 March 2026
Latest release
v1.38.0 (live)
Release pace
33 releases of the core between May and October 2026, roughly weekly since mid-September (as of 31 Oct 2026)
Job sources
More than 100, from ATS platforms to job boards in several countries (as of 31 Oct 2026)
Languages
Website in 8 languages, README in 19 and evaluation modes in 20, English included
AI CLIs supported
Claude Code, Cursor, Codex, OpenCode, Pi, Antigravity CLI, Grok Build CLI, Qwen, Kimi, Hermes Agent, GitHub Copilot CLI (Gemini CLI: legacy wrapper)
GitHub stars
79,000+ (live)
GitHub forks
14,000+ (live)
Discord community
5,100+ members
Creator’s result
740 listings evaluated → 68 applications → 12 interviews → 1 offer
Manifesto
The CareerOps Manifesto, published 14 Jul 2026 at 60,000 stars · career-ops.org/manifesto
Program
Member of the Vercel Open Source Program, Summer 2026 cohort (in-kind support).
Photo of the creator
On request: hi@career-ops.org
The term
CareerOps (CamelCase) = the practice, defined in the manifesto · career-ops (lowercase, hyphenated) = the tool
Wikidata
Q139007988 (software) · Q138710224 (creator)

The thesis

“Companies use AI to filter candidates. I just gave candidates AI to choose companies.”

Santiago Fernández de Valderrama Aparicio

The CareerOps Manifesto

CareerOps is the practice of running a job search the way engineers run production: with evidence, with discipline, and with tools on the candidate's side of the table.

Santiago published The CareerOps Manifesto on 14 July 2026, the day the project crossed 60,000 GitHub stars, and opened it for community signature on GitHub. It names the practice and states nine candidate rights. Canonical text: career-ops.org/manifesto · founding tag: manifesto-v1.0.

Quotes

Santiago Fernández de Valderrama Aparicio, creator of career-ops. Source.

Creator

Santiago Fernández de Valderrama Aparicio is the creator of career-ops and has spent 16+ years building and selling products. He founded Santifer iRepair in 2009 and sold it in 2025. He built career-ops during his own 2026 job search, and it landed him a Head of Applied AI role. He then open-sourced the project under MIT. Six months after landing that role, he left it to focus on building career-ops full time. Full bio and entity links at /about.

Timeline

Brand assets

Product demo demo.gif on GitHub (“My own search, partway through, with the UI in Spanish.”)

Brand color #DD7627 (hsl 26 73% 51%)

Wordmark font Instrument Serif

Coverage

Press contact

hi@career-ops.org

For interviews, quotes, fact-checks, or anything not covered above.


About the creator →

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