Free tool · JD Generator

Turn a 1-line brief into a polished job description.

Type the role, pick a tone, get a JD you can paste straight into your ATS. Free, no signup.

TL;DR

A strong 2026 job description has three structural moves: (1) a specific, searchable job title candidates actually type — not "ninja" or "rockstar", (2) 3-5 must-haves cleanly separated from nice-to-haves, and (3) a salary range. LinkedIn's 2024 Talent Trends found JDs with salary disclosed get 75% more applications and a 41% higher qualified-applicant rate. Pay-transparency laws now cover 25%+ of US workers (CO, NY, WA, CA, IL, MD, NJ, RI, HI) — disclosure is becoming default.

Inclusive language matters too. Per EEOC guidance and the 2022 LinkedIn Gender Insights report, gendered terms ("ninja", "guru", "rockstar") disproportionately deter female applicants and culture-fit language has been linked to age/race discrimination claims. The Raffi JD Generator strips those by default, separates must-haves from nice-to-haves, and pastes clean markdown into Workable, Greenhouse, Ashby, Lever, BambooHR, and Recruitee.

JD Generator → Raffi

Got a JD? Now hand the role to Raffi.

Raffi calls every applicant who responds, runs a structured interview, scores them against the must-haves in your JD, and hands you the top 3-5 — by morning.

Start free — $25 credit →

No card. 25-minute setup. Screening live by tonight.

See it in 72 seconds

Watch how Raffi runs the loop.

The 72-second walkthrough: tell Raffi the role, he writes the JD, calls every applicant, and ranks the top 3-5 by morning.

Frequently asked questions

Is the Raffi JD Generator really free?
Yes. The JD Generator is free with no signup, no card, and no rate limits for normal use. We built it as a free top-of-funnel tool — if you like the writing voice, you can hand the full role to Raffi to interview every applicant.
What makes a job description effective in 2026?
Three things: (1) a specific job title candidates actually search for (not 'Ninja Rockstar'), (2) 3-5 must-have requirements separated from 5-7 nice-to-haves, and (3) a salary range — required by law in CO, NY, WA, CA and increasingly elsewhere, and consistently shown to increase qualified applicant volume by 30-40%.
Does the generator output inclusive language by default?
Yes. The generator avoids gendered terms (e.g. 'rockstar', 'ninja', 'guru' that disproportionately deter female applicants per the 2022 LinkedIn Gender Insights report) and steers away from culture-fit language that has been linked to age and race discrimination claims.
Can I paste the output directly into my ATS?
Yes. The generator produces clean markdown that pastes into Workable, Greenhouse, Ashby, Lever, BambooHR, Recruitee, and most other modern ATS rich-text editors. Headings, bullet lists, and bold sections all carry over.
How is this different from ChatGPT?
ChatGPT will write a JD — but it'll lean generic and skip the structural conventions that drive applicant conversion (salary disclosure, must-have vs nice-to-have separation, inclusive language guardrails). Our generator is purpose-built for hiring, trained on what high-converting JDs across 200K+ Raffi screens look like.
What tone should I pick?
Match your company. 'Professional' suits enterprise B2B and regulated industries (finance, healthcare, legal). 'Casual' fits early-stage startups and consumer brands. 'Bold' works for ambitious growth-stage companies. 'Friendly' is the safest default if you're not sure — it converts best in the 35-55 candidate cohort.
Should I include a salary range?
Yes, unless you're explicitly forbidden by employer policy. The 2024 LinkedIn Talent Trends report found JDs with salary disclosed get 75% more applications, and the qualified-applicant rate (those who match must-haves) goes up 41%. Pay-transparency laws now cover 25%+ of US workers — disclosure is becoming default.
How long should the JD be?
Aim for 350-500 words on the post itself. Below 250 looks lazy; above 700 sees drop-offs in mobile completion. The generator targets this range by default. The exception is highly technical engineering roles where candidates expect detailed stack/responsibilities — those can go to 600-800.
Free tools
Job Title Generator
Titles candidates actually search for.
Open tool →
Salary Calculator
Real benchmarks by role × market.
Open tool →
Interview Questions
Role-specific question banks, free.
Open tool →