Job Openings Monitoring (Signal)

October 27, 2026

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Monitor job postings across target account list too catch buying signals

Pari Tomar

Pari Tomar

How it works

Step 1: Build the account list

Pull TAM accounts into Clay based on the ICP model.

Source companies from Apollo.io, AI Ark, DiscoLike, Ocean.io, or Clay.
Route the normalized list into Clay as the monitoring seed.

Step 2: Monitor for job openings

Detect when target accounts post new roles.

Track live job postings via Clay, Apify, or PredictLeads.
Capture job title, department, seniority, location, and post date.
Run the check on a weekly cadence.

Step 3: Filter for relevant roles

Keep only the postings that signal buying intent.

Define role categories that fit the ICP (e.g. RevOps, GTM, Data, Engineering).
Filter out unrelated roles.
Flag high-signal postings (new department heads, VPs, team expansion).

Step 4: Score and tier the signal

Prioritize hiring accounts by fit and signal strength.

Score every filtered posting into Tier 1, Tier 2, or Tier 3:
- Tier 1: strong ICP fit, senior or department-head role
- Tier 2: good ICP fit, mid-level role
- Tier 3: okay ICP fit, any relevant role

Step 5: Source stakeholders

Pull the hiring manager and decision makers for every tiered account.

Pull contacts from Clay, Apollo.io, or AI Ark.
Enrich with verified work email and LinkedIn URL.

Step 6: Route to outreach

Match the channel to the tier.

Tier 1: LinkedIn DMs via HeyReach referencing the specific role.
Tier 2 and 3: email sequences via Instantly tied to the hiring context.

Step 7: Sync to the CRM

Log the signal and outcome for reporting.

Create or update the account record in HubSpot, Salesforce, or Attio.
Add custom properties for job title, post date, and signal strength.

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Job Openings Monitoring (Signal)

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