Salesforce can't answer it solo.
LinkedIn in Salesforce is only one input; the hiring decision stalls without predict job changes alongside it.
Build an AI Talent Sourcing Agent withSalesforce, Greenhouse, and LinkedIn Ads
The data for your hiring decision already exists in LinkedIn Ads / Salesforce / Greenhouse. The problem is no one view joins it. 70% of workforce is passive candidates.
To identify passive candidates you open Salesforce, Greenhouse, and LinkedIn Ads by hand. Every hiring decision, all over again.
Now your agent can fix it.
Now your agent can fix it.
The Greenhouse side stays separate.
Predict job changes from Greenhouse sits in its own tab while Salesforce carries linkedin. Nobody joins them.
LinkedIn Ads knows before you do.
Personalize outreach lands in LinkedIn Ads hours early. Too far from Salesforce to change the hiring decision in time.
Under The Hood
Three sources, one query: ai talent sourcing pulls Salesforce, Greenhouse, and LinkedIn Ads pre-wired. Already connected.
01LinkedIn
Read identify passive candidates from Salesforce (system of record)
02
Fetch predict job changes from Greenhouse (applicant tracker)
Job Boards
03
Fetch personalize outreach from LinkedIn Ads (ad platform)
Company Websites
output
Agent-ready output
Identify passive candidates, predict job changes, personalize outreach, track engagement, returned as one digest ai talent sourcing ranks for you.
The Context Store
To identify passive candidates, the agent reads one joined view. Not 10 raw APIs.
Before the prompt runs, the Context Store has matched LinkedIn, Job Boards, Company Websites, Email, CRM, ATS from LinkedIn Ads / Salesforce / Greenhouse and 7 more onto one role record. Ai talent sourcing 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.
SHARED KEY10 SOURCESONE VIEWLIVE READS
The Prompt
Copy. Paste.
an AI Talent Sourcing Agent
Two steps. Your data, your results, under 60 seconds.
01install
Connect the Airbyte Agent MCP02copy and run
Build me a ai talent sourcing: read Salesforce, Greenhouse, and LinkedIn Ads and hand back one digest.
SETUP
Use the Airbyte MCP layer. 10+ connected sources behind one natural-language surface.
WORKFLOW
check connectors, connect Salesforce, Greenhouse, and LinkedIn Ads, query LinkedIn, Job Boards, Company Websites, Email, CRM, ATS, reconcile per role, summarize. Missing tools tell you how to link them. One quick authorize step.
TASK
Identify passive candidates, predict job changes, personalize outreach, track engagement. Deliver a digest I can paste into the hiring decision. Ranked, sourced, one action per item.The Outcome
The hiring decision that needed 3 hours now finishes while you read this. Now your agent can fix it.
10x
Faster
10x speed: ai talent sourcing turns a 3-hour hiring decision into under a minute.
90%
Cheaper to run
90% less spend: no glue code; it runs on your existing 10-tool stack to identify passive candidates.
3 -> 1
Tools, one query
3 tabs into 1: Salesforce, Greenhouse, and LinkedIn Ads collapse to one view to identify passive candidates.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
Priority scoring
A 1-10 score on each role means the urgent LinkedIn rises to the top of ai talent sourcing on its own.
02 · Signal
Where the tools disagree
Salesforce vs Greenhouse mismatches on identify passive candidates get called out so you decide, not the math.
03 · Context
Context overlay
Each line carries its evidence. Predict job changes pulled from Greenhouse and LinkedIn Ads. Right where you read it.
04 · Action
Tells you what to do
For each role, ai talent sourcing names the next step. Who to contact and what to send. Not just a number.
05 · Brief
Paste-ready output
A digest you can drop into the hiring decision: ranked, sourced from Salesforce, Greenhouse, and LinkedIn Ads, scoped to LinkedIn.
Keep going. More people ops agents from here
view All use casesHeadcount Planning
Your hiring decision is only as fresh as the slowest tab. Budget planning requires current headcount data synced with financial systems. Yet the inputs sit split across Ashby / Greenhouse / Amplitude.
Background Check Agent
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.
Interview Coordination
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.
Common questions
Didn't find your answer? Please don't hesitate to reach out.
Does AI Talent Sourcing replace Salesforce?
No, it reads Salesforce and writes back the digest. Your record systems stay put.
What Salesforce data does AI Talent Sourcing touch?
Just LinkedIn, plus Job Boards, Company Websites, Email, CRM, ATS, via Salesforce's scoped permissions. Ai talent sourcing copies nothing outside your stack.
What does AI Talent Sourcing cost to run?
It rides the 10 connectors you already license. No seats, no glue code, no infra to identify passive candidates.
Is LinkedIn stored anywhere by AI Talent Sourcing?
No, ai talent sourcing reads LinkedIn, Job Boards, Company Websites, Email, CRM, ATS live through the connectors and returns the digest; nothing persists outside Salesforce, Greenhouse, and LinkedIn Ads.
Your people ops data already lives in LinkedIn Ads / Salesforce / Greenhouse. Let ai talent sourcing use it.
55+ connectors including Salesforce, Greenhouse, and LinkedIn Ads are ready. Give ai talent sourcing the access to identify passive candidates.
