Writing Job Postings with AI
Structured prompts for creating compelling job postings: title, requirements, culture section, removing gender-coded language (Textio-style analysis), multi-format adaptation for LinkedIn and job boards, and ATS keyword optimization.
Take a real job posting from your company or LinkedIn. Run it through the prompt from this lesson: (1) rewrite it for LinkedIn, (2) identify gender-coded language, (3) extract ATS keywords. Compare the original and the result.
Copy and adapt to your context. Text in angle brackets should be replaced.
You are a senior HR copywriter with deep expertise in tech recruiting. Write a job posting for the role: [JOB TITLE] Company: [COMPANY DESCRIPTION, 1–2 sentences] Stack / specialization: [DETAILS] Work mode: [REMOTE/OFFICE/HYBRID, LOCATION] Salary: [RANGE IN CURRENCY] Top priorities for first 90 days: [LIST] Must Have: [REQUIRED QUALIFICATIONS] Nice to Have: [PREFERRED QUALIFICATIONS] Structure your response as follows: 1. Three title options (pick the best one and explain why) 2. Full job posting with sections: About us / What you'll do / Requirements / What we offer / How to apply 3. List of gender-coded words you removed and what you replaced them with 4. 10 ATS keywords for this role 5. Adapted version for LinkedIn (under 2000 characters, with a hook opening paragraph)