A company posting a job for a role your product replaces is publicly declaring they have the problem you solve. The pain is confirmed, the budget is being allocated, and the decision has not been made yet.
That's a better signal than a Google ad click or a content download.
Why Job Postings Signal Buying Intent
When a company posts a job, they've already decided the problem is real enough to spend $80–150K/year on a person to solve it. Additional signals:
Job open for 45+ days = failed to hire internally = higher urgency and receptivity to alternatives
New C-suite hire in past 90 days = new leader evaluating existing toolstack
Multiple similar roles posted simultaneously = scaling a function your tool automates
A job posting is a company admitting they have the problem. Reach them before they solve it with a person instead of your product.
Which Roles to Target
Map job titles to what they mean for your product category. Examples:
| If they're hiring... | It means... |
|---|---|
| Marketing Operations Manager | Building/scaling a marketing tech stack — CRM, automation, analytics tools needed |
| Head of Demand Generation | Scaling ad spend — ad tech, attribution tools needed |
| Data Analyst / BI Analyst | Data maturity increasing — BI, data warehouse, ETL tools needed |
| Customer Success Manager (5+ roles) | Rapid growth + churn risk — CS platforms, onboarding tools needed |
| [Function your product replaces] | They have the problem. They're solving it with headcount instead of software. |
Which Job Boards to Monitor
LinkedIn Jobs
Best firmographic data alongside job post — company size, industry, headcount growth
Indeed
Broadest coverage, especially SMB; high volume but less firmographic data
YC Work at a Startup
Early-stage companies scaling; high intent and less competition from sales teams
Wellfound (AngelList)
Startup hiring; typically 1–50 employees; founder-direct decision-making
Lever / Greenhouse / Workday
ATS boards embedded in company career pages — indicates tech stack and company maturity
Scraping Setup
Clawdbot connects to job scraping infrastructure. Two approaches:
JobSpy (open source)
Python library — scrapes LinkedIn, Indeed, Glassdoor, ZipRecruiter concurrently. Free. Handles deduplication. Start here.
Browse AI
No-code scraper with pre-built LinkedIn Jobs robot. Extract + schedule + alert. $19/month for light use.
n8n workflow template #3580
Scrapes LinkedIn job listings → enriches with company data → outputs to Google Sheets or CRM. No-code.
LinkedIn rate-limits at ~page 10 per IP for job searches. Use rotating residential proxies for any volume above 100 results/day.
Clawdbot job monitoring agent: role list, boards, alert frequency, enrichment settings
Outreach That Works
The outreach message writes itself — the job posting is your context:
"Noticed you're hiring [Role] at [Company] — that usually means [problem your product solves] is becoming a priority.
We help teams like yours [specific outcome] without adding headcount. Worth a 15-minute look before you hire?"
Layer in enrichment from Clay or Apollo to confirm:
Funding status (Series A/B = budget exists)
Headcount growth (25%+ YoY = expansion mode)
Tech stack (BuiltWith confirms what they're already using)
Signal-based outreach to companies actively hiring target roles: 5–10x meeting booking rate vs. cold list approaches.
Clawdbot Configuration
| Setting | Value |
|---|---|
| Scrape frequency | Daily — job postings expire fast |
| Role filter | Target job titles mapped to your buying signals |
| Firmographic filter | Company size, industry, geography to match ICP |
| Enrichment | Clay or Apollo for funding, headcount, tech stack |
| Output | Prioritized list with company context + draft outreach message |
| Oldest posting to target | 45+ days = higher urgency and receptivity |
Foundation
Haven't set up Clawdbot yet?
OpenClaw + Telegram + Claude. Takes ~20 minutes.
