Footprint
Whether we see active openings, stale opens, closed listings — or none returned for the domain.
Data source
Job openings
Public job-opening signals — active hiring footprint, listing lifecycle, function-family momentum, and mix patterns from roles we can observe.
23 detectable patterns across footprint, lifecycle, momentum, and mix — plus optional keyword focus when your ICP supplies roles
Footprint is a gate. Timing is prioritization.
Timing
How listings move — newly seen, long-running, closing fast or slow, and which function families are heating or cooling.
How job-opening evidence stacks
Three layers — bind the hiring footprint, read lifecycle texture, then see which function families are in motion.
1
Footprint Active / none + texture
2
Lifecycle New, aging, closing
3
Function momentum Heating → quiet by family
- Always useful Active vs none — and stale/closed context when openings exist.
- Lifecycle texture Newly seen, long-running, quick or recent closes.
- Function motion Accelerating → dormant per role family in the returned openings.
Three questions we ask of the requisition
- What function is this, really? Sales, warehouse, marketplace ops, RevOps, compliance marketing — the role nouns in the description.
- How is the work done? Tooling and process language: CRM, list-building, GTM engineering, developer tickets for web changes, 3PL, healthcare ad approvals.
- What motion does the copy imply? Enterprise versus volume, urgency, hiring freeze versus burst — including spray-and-pray or call-centre language when it appears.
No openings, or a description too thin to read, is unknown — not that they never hire.
- Also read Company workforce — listings ≠ headcount series
Hiring footprint
First question: do we observe open roles for this domain — and what’s the open/closed texture?
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Active openings
At least one listing meets active-open freshness for the domain.
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None returned
No openings in the returned sample — not “never hires.”
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Stale open
Still listed but aging — evergreen ATS noise or quiet hiring.
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Closed listings
Closed in the sample — closed ≠ confirmed filled.
Active and none are exclusive outcomes for a research pass. Stale and closed can appear alongside active listings.
Listing lifecycle
How openings age and leave the board — listings can show more than one of these in the same pass.
Lifecycle texture
Fresh first-seen activity through long-running opens and recent closes — coexisting subject flags, not a single exclusive state.
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Newly first seen
Listing entered observation recently — fresh posting signal.
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Long-running open
Visible for a long window — not proof of a hard-to-fill role.
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Quickly closed
Short observed listing lifetime — not a confirmed quick hire.
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Recently closed
Left the board in the recent window — motion without hire proof.
Function momentum
Per function family in the returned openings — heating, newly emerged, cooling, or quiet.
Category motion
Exclusive states for a function family in the openings sample — packs see category as the subject.
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Accelerating
Recent first-seen volume exceeds the prior window for the family.
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Recently emerged
Family appears in recent openings after a quiet prior window.
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Cooling
Family activity stepped down versus the prior window.
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Dormant
No recent motion for that function family in the sample.
Closure velocity
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Fast closure
Median observed listing lifetime is short for the family.
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Slow closure
Listings linger longer before leaving the board.
Listing momentum is not headcount growth. Closure speed is observed listing lifetime — not confirmed time-to-hire.
Mix & clusters
Where openings concentrate — function, location, seniority, remote/hybrid, pay disclosure, and recurring titles.
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Function cluster
Openings concentrate in one or more function families.
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Location cluster
Roles cluster in shared locations or geos.
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Seniority concentration
Mix skews toward a seniority band in the sample.
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Open-mix concentration
Current opens are concentrated — thin diversity in the sample.
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Aging cluster
A pocket of opens is aging together.
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Remote / hybrid
Multiple openings share remote or hybrid contract types.
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Salary disclosed
Pay bounds appear on one or more listings.
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Salary band cluster
Enough disclosures to see a recurring band — not total-comp truth.
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Recurring title
Same or near-same title reappears — repost or evergreen pattern.
Clusters reflect the returned openings sample — not an exhaustive careers-site crawl claim.
Keyword focus
When your ICP supplies focus roles or skills, we can match openings and timing to those keywords.
When your ICP supplies focus roles or keywords, we can match titles, taxonomy, and recent keyword motion — including lower-precision description-only hits.
- Role match
- Title match
- Taxonomy
- Description-only
- Open concentration
- Recent
- Accelerating
- Long-running
What it looks like in a verified fit
Brightfield Robotics
- Active openings This week2
At least one listing meets active-open freshness for the domain.
Live hiring footprint — reason to look now.
- Function accelerating This week2.2
A category’s recent first-seen exceeds the prior window.
Role-family motion beyond a single posting.
- Remote / hybrid pattern This week1.8 1.9
Multiple openings share remote or hybrid contract types.
Mix clue for GTM and coverage narrative.
Boundaries & method
- Public / observable openings for the domain — not every ATS on earth.
- Open listings are visibility — not confirmed hires.
- Closed does not prove the role was filled.
- No openings returned ≠ the company never hires.
- Stale open may be evergreen ATS noise or quiet hiring.
- Long-visible listings aren’t proof of a hard-to-fill role.
- Short listing lifetime isn’t a confirmed quick hire.
- Function acceleration is listing observation — not headcount growth.
- Clusters reflect the returned openings sample for the domain.
- Salary when disclosed uses annual USD bounds — not total-comp truth.
- Keyword focus only when your ICP supplies keywords; description-only matches are lower precision.
- We do not invent open-role volume bands (high / medium / low headcount from listing counts).