The job search
Operating System.
500,000+ live roles, scored and ranked before you read them. Tailored CVs from your real proof points. One pipeline from first click to offer.
Relevant Jobs
Scanning Greenhouse (312 new)…
Scanning job boards…
Used by people targeting roles at
Why applyOS
The old grind vs the smart way
The manual grind
- ✕Scroll 40 browser tabs looking for roles that might fit
- ✕Copy-paste the same CV and hope for the best
- ✕Lose track of where you applied and what happened next
- ✕Walk into interviews with generic answers to generic questions
- ✕Evaluate the same duplicate posting from three different sources
- ✕Miss follow-ups because nothing in your workflow reminds you
With applyOS
- ✓Scan your target companies' ATS pages — zero LLM cost for discovery
- ✓Score every role 1–5 across CV Match, North Star, Comp, and Culture
- ✓One pipeline — 7 status stages, notes per role, nothing falls through
- ✓Dismiss roles you're not interested in — they move out of your feed
- ✓Tailor your CV per role — Claude weaves in your matching proof points
- ✓Surface your top STAR stories, ranked by relevance to each JD
01 — Scan & Score
Every role at your target companies, scored before you read it.
applyOS scrapes your target companies directly via Greenhouse, Ashby, and Lever — zero LLM cost for discovery. Each role is scored 1–5 across four dimensions the moment it's found.
- ✓CV Match · North Star · Comp · Culture — four named dimensions, not a black box
- ✓Red flag detection deducts from the score automatically
- ✓Duplicate detection built in — see each posting exactly once
47 roles · streaming live
Stripe
PM, Payments Core
Linear
Senior Product Manager
Notion
Product Lead, AI
Rippling
Group PM
Score breakdown · Stripe PM
Tailor Resume
Stripe · PM, Payments Core
02 — Apply & Track
A CV that actually fits the role. Generated in seconds.
Claude rewrites your resume bullets to match the JD — using your real proof points, not invented ones. It weaves in the STAR stories most relevant to this specific role and shows you exactly what changed.
- ✓Bullets rewritten to match JD language and requirements
- ✓Your STAR stories woven in where they strengthen the case
- ✓Diff view shows every changed line — no surprises
- ✓Log notes per role — interviewers, dates, next steps
03 — Prepare & Win
Your best stories, surfaced for every interview.
Build a STAR story bank once. Before every interview, applyOS reads the JD and surfaces your three most relevant stories — with reasoning for why each one fits.
- ✓Stories tagged by competency and domain — write once, reuse everywhere
- ✓Claude reads the JD and ranks your bank by relevance
- ✓Each story surfaces with a clear reason it fits this specific role
Interview Prep
Stripe · PM, Payments Core
JD weights cross-functional influence heavily — this story is your strongest direct match
Marketplace launch across 40 markets
Role calls for data-driven prioritization — cohort analysis story shows quantified impact
Reduced churn 18% via cohort analysis
Stage requires 0→1 credibility — team build shows you can operate without a playbook
Built PM team 0→8 at Series B
Ranked from your story bank by JD relevance
1–5
structured scoring rubric
4
named scoring dimensions
0
LLM calls for discovery
7
pipeline status stages
Stop managing your
job search.
Start running it.