Greenhouse only knows its half.
Greenhouse tracks jobs, but can't see job postings. So what you read there is already partial.
The data for your hiring decision already exists in Ashby + Greenhouse. The problem is no one view joins it. Job boards aggregate open positions.
Now your agent can fix it.
Greenhouse tracks jobs, but can't see job postings. So what you read there is already partial.
What Ashby knows about job postings rarely flows back to Greenhouse. Two tools, one unreconciled gap.
Ashby sees descriptions shift before anyone, yet the hiring decision owner hears about it last.
Under The Hood
Jobs
job postings
The brief for the hiring decision: Ingest job information from ATS for specific industry/vertical, riskiest items surfaced and owned.
The Context Store
To ingest job information from ATS for specific industry/vertical, the Context Store pre-joins jobs, job postings, descriptions, requirements across Ashby + Greenhouse on the candidate key. One query, one truth.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
The Prompt
Two steps. Your data, your results, under 60 seconds.
Run my hiring decision: pull jobs, job postings, descriptions, requirements from Greenhouse and Ashby and summarize.
SETUP
The Agent MCP is connected to 2+ systems; query them directly, no API code.
WORKFLOW
connect Greenhouse and Ashby -> read jobs, job postings, descriptions, requirements -> merge into one candidate view -> rank and explain. Each unconnected source is a one-time browser auth away.
TASK
Ingest job information from ATS for specific industry/vertical. Deliver a brief I can paste into the hiring decision. Ranked, sourced, one action per item.The Outcome
10x
10x. 2 hours to ingest job information from ATS for specific industry/vertical becomes one run of surface open jobs.
90%
~90% cheaper: Surface open jobs reuses the 2 connectors you already pay for.
2 -> 1
2 tabs into 1: Greenhouse and Ashby collapse to one view to ingest job information from ATS for specific industry/vertical.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
A 1-10 score on each candidate means the urgent jobs rises to the top of surface open jobs on its own.
02 · Signal
Any conflict between Greenhouse and Ashby on jobs is raised for review rather than silently smoothed over.
03 · Context
Jobs from Ashby sits beside each item, letting you ingest job information from ATS for specific industry/vertical without switching tabs.
04 · Action
For each candidate, surface open jobs names the next step. The play and the person to run it. Not just a number.
05 · Brief
The brief arrives meeting-ready: jobs first, sources attached, Greenhouse and Ashby reconciled.
Recruiting teams run hiring decisions on stale, scattered data: Ashby / Greenhouse each hold a piece, none hold the whole. AI recruiting tools match candidates to best-fit roles.
Right now the hiring decision means stitching Greenhouse / Gmail / Ashby by hand. Candidate experience portals show application status, so the work lands late and half-blind.
The data for your hiring decision already exists in Slack + Granola + Greenhouse. The problem is no one view joins it. Debrief decisions need to reach the ATS immediately to trigger next steps.
Didn't find your answer? Please don't hesitate to reach out.
How fresh is the candidate data Surface open jobs uses?
What if a candidate shows up in two of Greenhouse and Ashby?
Is jobs stored anywhere by Surface open jobs?
How do I trust the hiring decision?
47+ connectors including Greenhouse and Ashby are ready. Give surface open jobs the access to ingest job information from ATS for specific industry/vertical.