The Cognitive

Your best candidate isn't in your search results.

5 places hidden candidates hide, with the brief that finds each one.

One data engineer. 384 ways to find their work.

8ways the work is written
×
8industries it happened in
×
3tools
×
2places
=
384searches
One cell

Rebuilt the ledger at a fintech company, on Spark, in the Austin area

6searches in each cell: 3 tools × 2 placesThe phrase on your job descriptionWhere the hidden candidates were

Your role

90searches by hand1 brief in Claude
1

In what they did, written their way

The headline says what they are called. The work history says what they did, in words you would never type.

The brief

Find engineers who have built or rebuilt payments or billing data, however their profile words it: ledgers, invoicing pipelines, payouts, reconciliation. Any title. Austin area.

The work you needHow it shows up on profiles
Built payments data"Rebuilt the ledger" · "Owned invoicing ETL" · "Moved payouts to streaming" · "Reconciled transactions at scale"
Closed big deals alone"Closed $100K+ deals" · "Owned enterprise deals end to end" · "Full-cycle AE, six-figure ACV" · "Sold to CFOs"
Grew a team"Grew the team from 4 to 18" · "Hired 12 engineers" · "Built the platform team" · "Promoted 3 leads"
Opened a market"Launched in Germany" · "First hire in EMEA" · "Took the region from 0 to $3M"
Kept customers"Owned a $2M book" · "Net retention 115%" · "Renewed our top 20 accounts"
Built recruiting from zero"First TA hire" · "Hired the first 50" · "Set up our ATS and hiring process"
2

In a neighbouring role

The best person for the job is already doing it, under a role you would never search.

The brief

Find people who run revenue operations in practice, whatever their title: sales operations managers, CRM admins and business operations managers who own forecasting and pipeline reporting.

You wantAlready doing the work
RevOps LeadSales Operations Manager · CRM Administrator · Business Operations Manager · GTM Systems Manager
Product OperationsProgram Manager · Product Analyst · Business Operations Analyst
Data EngineerBackend Engineer who owns pipelines · Analytics Engineer
Customer Success ManagerImplementation Consultant · Support Team Lead · Account Manager
Talent Acquisition PartnerSourcer ready for a full desk · HR Generalist who runs hiring · Agency Recruiter going in-house
Engineering ManagerTech Lead who runs 1:1s · Staff Engineer who leads a team
3

Behind a different title

You search the title on your job description. They hold the same seat under another name.

The brief

Find senior data engineers in Austin. Include every title the market uses for the same seat: ETL developer, big data engineer, data platform engineer, analytics platform engineer.

You searchThey are also called
Data EngineerETL Developer · Big Data Engineer · Data Platform Engineer · Analytics Platform Engineer · Pipeline Engineer
Account ExecutiveAccount Manager (new business) · Sales Executive · Business Development Manager · Client Partner
Customer Success ManagerAccount Manager (post-sale) · Client Success Lead · Relationship Manager · Onboarding Manager
Product DesignerUX Designer · UI/UX Designer · Interaction Designer · Experience Designer
Talent Acquisition PartnerRecruiter · Senior Recruiter · Recruitment Partner · Talent Partner · Hiring Partner
DevOps EngineerSite Reliability Engineer · Platform Engineer · Infrastructure Engineer · Cloud Engineer
ControllerFinancial Controller · Accounting Manager · Head of Accounting · Finance Manager

Run these briefs on your own roles.

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4

Below the first page

Search results are sorted by keyword match, not by fit. The right person sits far down the list.

The brief

Find senior data engineers in Austin. Rank everyone by how well they fit the brief, and give me one line on why each person is there.

  1. A title you did not type. If every result has the exact title from your job description, the list is missing people.
  2. A town you did not name. If every result lists the city itself, the commuters are missing.
  3. A reason for every person. If you cannot say in one line why someone is on the list, they are there for a keyword.
  4. A possible next to the strong. Someone missing one thing, named as missing it, is often your hire after the hiring manager sees them.
5

One town over

You search the city. Many of the people who work there list the town they live in.

The brief

Find senior data engineers who live within commuting distance of Austin, including Round Rock, Cedar Park, Georgetown and Pflugerville.

You searchThey list
AustinRound Rock · Cedar Park · Georgetown · Pflugerville · Leander · Kyle · San Marcos
DallasPlano · Frisco · Irving · Richardson · McKinney · Arlington · Fort Worth
San FranciscoOakland · San Jose · Palo Alto · Mountain View · Sunnyvale · Redwood City · Fremont

The full brief

Fill the brackets

Find [seniority] [role] who live within commuting distance of [city], including [nearby towns]. Include every title the market uses for the same seat, and people in [neighbouring roles] who already do the work. They must have [the one thing they did, in plain words]. Skip [who to skip]. Rank everyone by fit and give me one line on why each person is there.

Run it in Claude

  1. Start your free 7-day trial at The Cognitive.
  2. In Claude, open Settings, then Connectors, and add a custom connector:
    https://app.thecognitive.io/mcp
  3. Sign in, then paste your brief.

Find the ones nobody else is calling.