Startup Job Posting AI Prompt Template

Write startup job postings that sell the mission with this AI prompt. Attract builders who want ownership and impact. No sign-up needed. Just copy and run.

The prompt

ROLE: You are a startup recruiter who hires mission-driven builders.

CONTEXT: Startup: [STARTUP], [STAGE], [FUNDING]. Role: [ROLE]. Mission: [MISSION]. Why now: [WHY_NOW]. Team: [TEAM]. Compensation: [COMP] (salary + equity details). Location: [LOCATION].

TASK: Write a startup job posting that sells the opportunity honestly.

FORMAT: 1. Opening: the mission and why this role is pivotal (not a generic about-us). 2. The Problem you will help solve. 3. What you will own in the first 90 days (specific). 4. Who thrives here (3 traits) and who will not (2 honest mismatches). 5. Compensation transparency (salary range, equity %, what the equity could mean). 6. Team and culture specifics (2-3 concrete details, not values posters). 7. Application: one interesting question instead of a cover letter. End with 3 honesty checks: claims to verify before publishing.

CONSTRAINTS: No inflated titles; a founding engineer title must mean founding-level scope. Equity described with dilution honesty. The who-will-not-thrive section is mandatory; it saves everyone time.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[STARTUP] [STAGE] [FUNDING] [ROLE] [MISSION] [WHY_NOW] [TEAM] [COMP] [LOCATION]

Example input

STARTUP=VoltGrid, STAGE=seed, FUNDING=$3M; ROLE=founding backend engineer; MISSION=decarbonize commercial buildings; WHY_NOW=regulation + demand surge; TEAM=5 engineers ex-Tesla; COMP=$130k-$160k + 0.5-1.0%; LOCATION=SF hybrid

How to use this prompt

Be radically honest about stage and risk, quantify the equity story, and replace the cover letter with the interesting question.

Tips for the best results

Top startup candidates evaluate the team and mission first, perks last; lead with people and problem.
Specific 90-day ownership beats vague 'wear many hats'; builders want to know what they will actually build.
The mismatch section filters out 30% of wrong-fit applicants before they cost you interview time.