Salesforce can't answer it solo.
ATS (Greenhouse, Lever) in Salesforce is only one input; the hiring decision stalls without screen resumes alongside it.
People ops teams run hiring decisions on stale, scattered data: LinkedIn Ads / Salesforce / Greenhouse each hold a piece, none hold the whole. Top candidates are off market in 10 days.
Today they don't, so the hiring decision guesses.
ATS (Greenhouse, Lever) in Salesforce is only one input; the hiring decision stalls without screen resumes alongside it.
Screen resumes from Greenhouse sits in its own tab while Salesforce carries ats (greenhouse, lever). Nobody joins them.
Schedule interviews surfaces in LinkedIn Ads ahead of time, but that tab is closed during recruiting agents.
Under The Hood
ATS (Greenhouse, Lever)
LinkedIn Recruiter
Job Boards
Recruiting Agents' readout: Source candidates, screen resumes, schedule interviews, track pipeline, analyze performance. Sorted by what needs you first.
The Context Store
Before the prompt runs, the Context Store has matched ATS (Greenhouse, Lever), LinkedIn Recruiter, Job Boards, Email, Calendar, HRIS from LinkedIn Ads / Salesforce / Greenhouse and 6 more onto one role record. Recruiting agents just reads it, no ID-stitching.
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.
Help me turn Salesforce, Greenhouse, and LinkedIn Ads into a single hiring decision I can act on.
SETUP
Airbyte's Agent MCP is connected to 9+ systems; query them directly, no API code.
WORKFLOW
list connectors -> link Salesforce, Greenhouse, and LinkedIn Ads -> pull ATS (Greenhouse, Lever), LinkedIn Recruiter, Job Boards, Email, Calendar, HRIS -> join on the role key -> analyze. An unlinked tool returns a self-describing prompt; one quick authorize step and retry.
TASK
Source candidates, screen resumes, schedule interviews, track pipeline, analyze performance, then give me a single readout: sorted by what needs me first, each line with the why and the move.The Outcome
10x
10x speed: recruiting agents turns a 3-hour hiring decision into under a minute.
90%
90% off the build cost: 9 sources already licensed, nothing extra to source candidates.
3 -> 1
3 -> 1: recruiting agents answers Salesforce, Greenhouse, and LinkedIn Ads in a single query.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Every role scored 1-10, so recruiting agents surfaces what needs you first instead of an alphabetized list.
02 · Signal
Salesforce vs Greenhouse mismatches on source candidates get called out so you decide, not the math.
03 · Context
Each line carries its evidence. Screen resumes pulled from Greenhouse and LinkedIn Ads. Right where you read it.
04 · Action
For each role, recruiting agents names the next step. The owner and the move. Not just a number.
05 · Brief
A readout you can drop into the hiring decision: ranked, sourced from Salesforce, Greenhouse, and LinkedIn Ads, scoped to ATS (Greenhouse, Lever).
Your hiring decision is only as fresh as the slowest tab. Scheduling 5+ calendars takes hours manually. Yet the inputs sit split across Ashby / Greenhouse / Typeform.
The data for your hiring decision already exists in Ashby / Greenhouse. The problem is no one view joins it. Offer timelines depend on check completion.
The data for your hiring decision already exists in Greenhouse and Ashby. The problem is no one view joins it. Workforce planning tools with current headcount data.
Didn't find your answer? Please don't hesitate to reach out.
How long until Recruiting Agents is live?
What if a role shows up in two of Salesforce, Greenhouse, and LinkedIn Ads?
Can I tweak what Recruiting Agents returns?
How fresh is the role data Recruiting Agents uses?
54+ connectors including Salesforce, Greenhouse, and LinkedIn Ads are ready. Give recruiting agents the access to source candidates.