Salesforce can't answer it solo.
ATS (Greenhouse, Lever) in Salesforce is only one input; the hiring decision stalls without calculate bonuses alongside it.
Your hiring decision is only as fresh as the slowest tab. Employee referrals have 4x higher retention. Yet the inputs sit split across Stripe + Greenhouse + Salesforce.
The hiring decision eats the gap.
ATS (Greenhouse, Lever) in Salesforce is only one input; the hiring decision stalls without calculate bonuses alongside it.
Calculate bonuses from Stripe sits in its own tab while Salesforce carries ats (greenhouse, lever). Nobody joins them.
Update hiring pipeline lands in Greenhouse hours early. Too far from Salesforce to change the hiring decision in time.
Under The Hood
ATS (Greenhouse, Lever)
HRIS
Payroll
One rundown: Track referrals, calculate bonuses, update hiring pipeline, notify employees. Ranked by priority, top risks flagged, a next step on each.
The Context Store
To track referrals, the Context Store pre-joins ATS (Greenhouse, Lever), HRIS, Payroll, Communication Platforms across Stripe + Greenhouse + Salesforce and 3 more on the role 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.
Help me turn Salesforce, Stripe, and Greenhouse into a single hiring decision I can act on.
SETUP
You have the Airbyte Agent MCP, wiring up 6+ tools you can query in plain language.
WORKFLOW
link Salesforce, Stripe, and Greenhouse, query ATS (Greenhouse, Lever), HRIS, Payroll, Communication Platforms, fold it onto the role, then rank. If a connector is missing, follow the prompt. A one-off connect step.
TASK
Track referrals, calculate bonuses, update hiring pipeline, notify employees. Deliver a rundown I can paste into the hiring decision. Ranked, sourced, one action per item.The Outcome
10x
10x. 3 hours to track referrals becomes one run of employee referral.
90%
90% less spend: no glue code; it runs on your existing 6-tool stack to track referrals.
3 -> 1
3 tabs into 1: Salesforce, Stripe, and Greenhouse collapse to one view to track referrals.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Employee Referral ranks each role by risk, not by name. The top of the list is where to start.
02 · Signal
Salesforce vs Stripe mismatches on track referrals get called out so you decide, not the math.
03 · Context
Each line carries its evidence. Calculate bonuses pulled from Stripe and Greenhouse. Right where you read it.
04 · Action
For each role, employee referral names the next step. The owner and the move. Not just a number.
05 · Brief
A rundown you can drop into the hiring decision: ranked, sourced from Salesforce, Stripe, and Greenhouse, scoped to ATS (Greenhouse, Lever).
Your hiring decision is only as fresh as the slowest tab. Compliance training has strict deadlines. Yet the inputs sit split across Sentry + Incident.io.
Your hiring decision is only as fresh as the slowest tab. Referral bonuses motivate employees. Yet the inputs sit split across PayPal Transaction, Stripe, and Greenhouse.
People ops teams run hiring decisions on stale, scattered data: Greenhouse / Ashby each hold a piece, none hold the whole. Organizational changes happen frequently.
Didn't find your answer? Please don't hesitate to reach out.
Can Employee Referral run on a schedule?
How fresh is the role data Employee Referral uses?
What Salesforce data does Employee Referral touch?
Can Employee Referral really join Salesforce, Stripe, and Greenhouse on one role?
Connect Salesforce, Stripe, and Greenhouse (plus 51+ more) and ship employee referral today to track referrals.