Mesa Talent Ops

Talent Match & Blurb Studio

Enter a role and job description to identify the strongest-fit candidates from the current "Yet to Land" roster and generate a concise, role-specific candidate blurb using the existing blurb repository as the writing reference.

Role intake

Match candidates using role fit, experience, functional and sectoral preferences, success track, notes and resume evidence.

Sourced role library
Candidate matching uses the maximum as a hard compensation ceiling. A student is excluded if their FINAL TARGET COMPENSATION exceeds the role maximum.
AI blurb generation
Blurbs run on Cloudflare's free built-in AI (10,000 free requests/day, no billing, no API key). Nobody opening this page needs to install or configure anything.
🟢 Ready — click "Generate blurb" on any candidate card

Candidate matches