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Jobs surfaces hiring signals across all accounts in your territory. PG:AI aggregates job postings from job boards, company career pages, and enrichment sources - parsing, classifying, and linking them to technologies, titles, and functions. Job postings are one of the strongest public signals of a company’s priorities: if they’re hiring cloud architects, they’re investing in cloud; if they’re posting for data engineers, they’re building a data function.

Key Capabilities

Job Aggregation & Search

View all job postings across territory accounts. Search by company, role, function, or keyword. See social job postings from LinkedIn and other platforms. Save and reuse search configurations.

Job Analysis

Review job summaries per account. Spot patterns and trends across territory accounts. See which technologies are mentioned in job postings. Understand job title hierarchies and relationships.

Signals & Enrichment

Track hiring trends - growing, stable, or declining. Link technologies to specific job postings. Job data feeds criteria scoring and scoring models automatically.

What Jobs Data Tells You

Job postings are one of the strongest buying signals available. When a company posts a role, it means they’ve secured budget, identified a need, and are actively investing. PG:AI enriches your territory accounts with job posting data, so you can see:
  • What roles each account is hiring for
  • Which skills and technologies they’re looking for
  • How many open roles they have in relevant areas
  • Whether hiring is accelerating or stable

Viewing Jobs Data

In the Territory Companies Table

Jobs data can appear as columns in the Companies table when enabled in your territory’s Enriched Columns settings (type: Jobs). This lets you see job counts alongside other account data - score, revenue, industry, etc.

On Individual Account Profiles

Click into any account to see the full job detail. This includes specific job titles, descriptions, locations, and posting dates - not just aggregated counts.

Common Workflows

Finding Accounts with Active Hiring Signals

1

Open the Companies table

Navigate to your territory’s Companies tab.
2

Sort by job count

If job count columns are visible, sort descending.
3

Review top accounts

Accounts at the top are the most actively hiring in relevant areas.
4

Prioritise these accounts

These are your warmest opportunities - they have budget and need.

Validating an Account Before Outreach

1

Open the account profile

Navigate to the account and review the jobs data.
2

Check role relevance

Are they hiring for roles related to what you sell?
3

Review job descriptions

Do they mention technologies, challenges, or initiatives that your product addresses?
4

Craft your outreach

If yes, you have a concrete, timely reason to reach out.

Personalising Outreach with Job Context

Job postings give you specific talking points:
  • “I noticed you’re hiring 3 Senior Platform Engineers - companies at this stage often face [problem your product solves]…”
  • “Your job posting for a VP of DevOps mentions moving to Kubernetes. We help teams at that transition point…”
This is more compelling than generic outreach because it’s relevant, timely, and shows you’ve done your homework.
As PG:AI re-enriches accounts:
1

Watch for ramp-ups

Accounts that go from 0 relevant jobs to multiple postings are ramping up.
2

Identify consistent investors

Accounts that consistently hire in your target area are ongoing investors.
3

Spot sudden drops

They may have filled roles - a good time to check if they need tools for the new team.

Combining Jobs with Other Signals

Jobs data is powerful on its own, but even stronger in combination:
CombinationWhat it means
High PG:AI Score + active jobsStrongest signal - fit + active investment
High insight score + relevant jobsStrategic topic alignment + budget committed
Large employee group + new jobsGrowing team - likely buying tools to support scale
High score + no jobsGood fit but may not be in buying mode - nurture
Low score + lots of jobsCheck the scoring model - they might be a better fit than the score suggests

Tips and Best Practices

Jobs are time-sensitive - a posting today may be filled next month. Act on strong job signals quickly.
Look beyond titles - the job description often contains more signal than the title. Technologies mentioned, team size, reporting structure - all useful context.
  • Feed jobs into scoring models - job posting volume and relevance can be weighted in scoring models to boost accounts showing active demand.
  • Share with AEs weekly - a “Top 10 accounts by new job postings” list is one of the most actionable things you can send a sales team.
  • Use jobs to validate cold accounts - an account that’s been dormant in your CRM might suddenly start hiring in your space. Jobs data catches that.