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Greenhouse: structured pipeline, limited candidate search

Deep dive Updated 31 Mar 2026 5 min read

The bottom line:

Greenhouse is built for structured hiring workflows. It moves candidates through stages reliably. Where it falls short is candidate search and rediscovery -- finding the right people in your existing database or sourcing new ones from outside.


Pipeline-first design

Greenhouse relies on pre-set tags and application questions for filtering. If a candidate was not tagged with the right labels at application time, there is no way to find them by searching resume content later.

This works well when you are processing active applicants through a pipeline. It works less well when a new role opens and you want to search your database of past candidates by skills, experience, or job titles.


Searching past candidates

Without full-text resume search, past applicants are hard to rediscover. Teams end up paying for new job ads and external sourcing to find candidates they already have in Greenhouse.

Greenhouse also does not include outbound sourcing tools. If you need to proactively find candidates beyond inbound applications, you need a separate sourcing solution.


How Mokka complements Greenhouse

Mokka adds the sourcing and screening layers that Greenhouse does not cover.

Outbound sourcing: Access 850M+ candidate profiles across 250+ job boards. Find candidates who match your role requirements, even if they never applied.

Evidence-based screening: Mokka runs structured AI pre-interviews (text, voice, or video) so you see how candidates think and communicate, not just what is on their resume.

Talent rediscovery: Past silver-medalist candidates can be automatically re-engaged when a matching role opens.

Greenhouse stays your system of record. Mokka sources, screens, and sends scored candidates back with evidence attached.