Résumé (Korean · 1p)
Backend Engineer at Company A · 2 yrs
FastAPI, Postgres, k8s
Cut ML pipeline latency by 38% · Agent rollout adopted company-wide
- Time per application
- 30 min 1 min
- Converts to every format
- Enter once
Every day we check companies, rack our brains for what we did, and squeeze experiences out into another document. We keep asking GPT, Gemini, Claude, Perplexity — and still polish the output by hand.
Do it once here, and you'll never have to again.
One résumé — auto-generated and ready to enter
John Doe · Backend Engineer
Backend LinkedIn (3-line bullets)
Backend Engineer @ Company A · Seoul
FastAPI · Postgres · k8s · Redis
ML pipeline latency −38%
Cover letter (sample prompt)
Q. Describe your biggest achievement (1,500 chars)
During my internship at Company A, user traffic spiked and our ML serving pipeline's P99 latency degraded sharply. I introduced an in-memory Redis cache layer, cutting latency by 38%...
John Doe · Frontend Engineer
Frontend Résumé (Korean · 1p)
Frontend Engineer at Company B · 3 yrs
React, TypeScript, Next.js
Improved key-screen LCP 2.4s→1.1s · Led design-system buildout
LinkedIn (3-line bullets)
Frontend Engineer @ Company B · Seoul
React · TypeScript · Next.js · Tailwind
Key-screen LCP −54%
Cover letter (sample prompt)
Q. Describe a performance win (1,500 chars)
Our home screen loaded slowly and drove high bounce. I tackled it with bundle splitting and lazy image loading, cutting LCP from 2.4s to 1.1s and bounce by 22%...
John Doe · AI Engineer
AI Résumé (Korean · 1p)
AI Engineer at Company C · 2 yrs
PyTorch, LLM, RAG, vLLM
Raised internal RAG accuracy 41% · Cut inference cost 30%
LinkedIn (3-line bullets)
AI Engineer @ Company C · Seoul
PyTorch · LLM · RAG · vLLM
RAG accuracy +41% · inference cost −30%
Cover letter (sample prompt)
Q. Describe shipping a model to production (1,500 chars)
Our internal doc search gave weak answers. I redesigned the RAG pipeline — new chunking and a reranker — lifting accuracy by 41% while cutting inference cost 30%...
John Doe · Infra Engineer
Infra Résumé (Korean · 1p)
Infra Engineer at Company D · 4 yrs
Kubernetes, Terraform, AWS
Cut deploys 40min→6min · Saved ₩210M/yr in infra cost
LinkedIn (3-line bullets)
Infra Engineer @ Company D · Seoul
Kubernetes · Terraform · AWS · ArgoCD
Deploys −85% · infra cost −₩210M/yr
Cover letter (sample prompt)
Q. Describe a cost-saving win (1,500 chars)
Manual deploys took 40 minutes per release and were error-prone. I moved us to GitOps automation, cutting deploys to 6 minutes and reclaiming idle resources to save ₩210M a year...
1 source · 3 outputs · 1-minute input
One PDFCover-letter prompts, résumé weak spots, and where you stand, all at once
No sign-up, no forms — just drop your resume PDF.
Cover-letter drafts An answer for every prompt — grounded in lines from your resume. Try it free Resume weak spots What to fix and the exact rewrite, all on one screen. Try it free My standing and salary estimate Where you stand in the market and an estimated salary range, with the reasons. Try it free
The real application problem
Why start from scratch every time?
It's the same experience — but you re-write it in a new shape every time, and nothing stays with you once the season is over.
01
Manual sync, every time
LinkedIn, Figma, Notion, PDF — you have plenty of résumé copies but no idea which is the latest. You start by tidying things up, again.
02
Rewriting per format
1,500-char cover letter, LinkedIn, English résumé — the data is the same, but you re-phrase it by hand every single time.
03
No idea why you were rejected
Apply to 100 companies and unless you have someone to ask, real feedback is hard to come by. You don't know what cost you the offer, so you repeat the same mistakes.
04
Scattered, never compounding
Drafts written once and tossed scatter everywhere. You clearly have varied experience and well-written copy lying around — but reusing them is painful.
Career SSOT
Stack once, draw from it for life.
Career SSOT is a resume and career management platform for job seekers and switchers. Add a public Notion link or a PDF/Word file once, and it comes out in the shape each company prefers. For LinkedIn, upload an English-language profile PDF saved on desktop. Applying to multiple companies stops being a chore — one click and you're done.
01 Add once, reuse forever.
Enter once
Stack your experience, projects, learnings, and outcomes in four buckets — done. New experiences just get added to the source.
02 Apply without re-typing.
Application auto-fill
Your source fills the auto-fill fields on major job platforms. The grind of typing the same info dozens of times disappears.
03 1 source × N formats
Format-aware extraction
Korean résumé, English résumé, LinkedIn, cover-letter prompts, Notion, intros, bios — extracted automatically with the right tone, length, language, and question. The same source also supports resume feedback, cover-letter feedback, and career feedback.
04 Learn from your own funnel.
Learn what worked
Track which phrases led to interviews and which got stuck. When the season is over, the data stays.
Pricing
Plans
Access is free for a limited time during the beta. The pricing below is planned to apply after the official launch. We welcome your feedback.
Free
₩0
Try it now - Unlimited experience, project, learning, and outcome entries
- Auto-extract résumés, cover letters, LinkedIn, and English résumés
- Future discounts reserved for beta testers
Pro
₩9,900 ₩19,900 / month
Beta-user early discount - Auto-fill major job platforms and company application forms
- Per-posting experience matching
- Résumé fit scoring
- Optimal experiences auto-written for each prompt
- Rejection analysis and improvement guidance
Closed Beta
Don't rewrite your next application.
Be the first to hear when new features launch. If you’d like, we can plan your career together in a 1:1 interview.
You're in
We'll reach out the moment the beta opens. The problems you flagged today are the ones we'll tackle first.
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FAQ
Frequently asked questions.
If you have more questions, use the feedback button below to ask us.
What résumé formats can I upload?
PDF, Word (.doc/.docx), and HWP/HWPX files are supported. You can import a public Notion page by URL. For LinkedIn, save an English-language profile as PDF on desktop and upload it.
If I edit my source, do all formats update?
Yes. Edit the source once and every output — résumé, LinkedIn, cover letter, English résumé — is re-extracted instantly.
Is my data safe?
Private résumés and entries are accessible from your account. Processing necessary for AI features you request is separate from public sharing. Account deletion includes a seven-day cancellation window. Check request status and the scheduled date on My page.
When does the beta start? How much does it cost?
We invite you by email in the order you signed up. Every feature is free until the beta ends.
What about pricing after the official launch?
Beta testers will receive a 50% discount after the official launch.
Which job platforms support auto-fill?
At beta launch we'll support Wanted, Saramin, and JobKorea first. Individual company application pages will follow in phases.
Couldn't I do something similar with GPT or Claude?
You could. But you'd re-explain the context every time and polish the output again. Career SSOT instantly extracts every output from a single stacked source with consistent tone, length, and format.
Will it create an English résumé too?
Yes. Even if you write in Korean, an English résumé is generated alongside it.
What kind of career management platform is Career SSOT?
Career SSOT keeps your resume, career history, cover letters, and LinkedIn profile in one reusable career source. Once your experience is structured, you can reuse it for applications, cover-letter prompts, English resumes, and career feedback.
Can I get cover-letter feedback or career feedback?
Yes. Upload a resume PDF to generate cover-letter answer drafts, resume weakness feedback, and career-direction feedback.
Can I use Career SSOT as a resume management service?
Yes. Career SSOT is a resume and career-record management platform, not just a file uploader. Keep your experiences, projects, outcomes, and learnings updated once, then reuse them for resumes, career histories, applications, and LinkedIn profiles.
How is AI cover-letter feedback different from a generic draft generator?
Career SSOT starts from your actual resume and experience instead of inventing a generic answer from a blank page. It drafts answers for motivation, strengths, achievements, and role-fit prompts, then shows which evidence is strong and what still needs work.
Does it help with career-history feedback or career changes?
Yes. For career changes, the important parts are role scope, measurable outcomes, technologies used, and business impact. Career SSOT structures those pieces and helps decide what to emphasize for each target role.
Can it manage a job-search portfolio?
Yes. You can keep projects, links, outcomes, and tech stacks in one source, then reuse them for resumes, cover letters, portfolio summaries, Notion resumes, and LinkedIn profiles.
Does it support application management or autofill?
The beta is preparing application autofill for job platforms such as Wanted, Saramin, and JobKorea first. The goal is to pull repeated fields like contact info, education, work history, projects, and cover-letter answers from your Career SSOT source instead of typing them again.
Can I try PDF resume analysis first?
Yes. Without signing up, you can upload a PDF resume and try cover-letter drafts, resume feedback, market ranking, and estimated salary analysis. If you want to save the result, you can continue with an account later.