Skip to main content
Employee Groups lets you define segments of employees based on role, title, department, or function - such as “Data Engineering”, “Cloud Infrastructure”, “VP+ in IT”, or “Security & Compliance”. The platform matches contacts and job data at every account against your definitions, showing you how many people fall into each group, what roles they hold, and how that’s changing over time. This gives you a headcount and organisational view scoped to the parts of the company that matter to your sale.

Key Capabilities

Group Definition

Define groups by role, title, department, function, or seniority. Build a library of employee segments relevant to your business and update as your target personas evolve.

Account-Level Matching

See which employees at each account match each group. View headcount and role breakdown per group per account. Track changes over time - growing, shrinking, or stable.

What Employee Groups Tell You

Employee groups show you the composition of people at each account. If you’ve defined groups like “DevOps Engineers”, “C-Suite”, or “Security Professionals”, PG:AI matches employees at each company against those definitions and shows you the counts. This tells you:
  • Which accounts have the roles and personas you sell to
  • How deep those teams are (1 DevOps engineer vs. 50)
  • Whether an account has the organisational structure to be a buyer

Viewing Employee Group Data

In the Territory Companies Table

Employee group counts can appear as columns in the Companies table when enabled in your territory’s Enriched Columns settings (type: Employee Groups). Each group becomes its own column, showing the count of matching employees per account.

On Individual Account Profiles

Click into any account to see the full employee group breakdown. This gives you the complete picture of which groups are present and how large they are.

Common Workflows

Finding Accounts with the Right Personas

1

Open the Companies table

Navigate to your territory and go to the Companies tab.
2

Sort by the relevant group

If employee group columns are visible, sort by the group that represents your ideal buyer (e.g., “Platform Engineering” descending).
3

Review top accounts

Accounts with the highest counts have the largest teams in that area - they’re more likely to have budget and need.

Qualifying an Account

When evaluating whether an account is worth pursuing:
1

Open the account profile

Click into the account you’re evaluating.
2

Check employee group presence

Do they have people in the roles you sell to? Is the team large enough to warrant an enterprise deal?
3

Assess team size

If you’re selling a DevOps platform and the account has 40+ DevOps Engineers, that’s a strong signal. If they have 2, it’s a different conversation.

Finding Contacts Within an Account

Employee groups aren’t just counts - they’re built from real employee data. Use the groups to:
1

Identify relevant functions

See which job functions exist at the account.
2

Navigate to contacts

Navigate to the contacts or employee data for that account.
3

Find specific individuals

Identify specific individuals to reach out to within each group.

Combining Employee Groups with Other Signals

Employee groups are most useful in combination:
CombinationWhat it means
Employee groups + high PG:AI scoreStrong fit and the right people are there.
Employee groups + insight scoresThey’re investing in a topic AND they have the team to buy your solution.
Employee groups + jobsThey have the team AND they’re hiring more - growing investment.

Tips and Best Practices

Think about group size - a large DevOps team might mean they already have tooling. A growing team (combine with Jobs data) might mean they’re ready to buy.
Groups change over time - as PG:AI re-enriches accounts, employee group counts update. Review periodically to catch shifts.
  • Use groups for segmentation - filter your territory to “accounts with 10+ Security Professionals” for a targeted outreach campaign.
  • Feed groups into scoring models - employee group presence and size can be weighted in scoring models to boost accounts with the right organisational fit.