Guides
Adding a technology or job filter to your company search
How to backfill a job board with TheirStack
How to fetch jobs periodically using the Jobs API
How to Automate Your Ad Chase as a Recruiting Agency
How to Avoid Downloading the Same Companies Twice
How to Build a Targeted Lead List Using Technographic Data
How to Check if a Technology Is Available
How to Choose the Best Way to Access TheirStack Data
How to create a niche job newsletter with TheirStack MCP
How to Discover Any Company's Tech Stack | TheirStack
How to Exclude Specific Companies from a Search
Find hidden candidates with niche technology experience
How to find old job postings
How to Find Promoted Jobs
How to Find Reposted Jobs
Identifying companies with problems your software solves
How to Monitor Competitor Hiring
How to monitor job postings automatically
Outreach companies actively hiring
How to Scrape Job Data for a List of Company Domains
How to send a slack message for every new job found
Spotting your competitors' next moves
How to Target Companies by the Technology They Use
How Marketing Teams Can Use Hiring Data to Improve Targeting and Find Better Leads
Use job data for investment research
Monitoring open jobs from current and past customers
Integration guide for sales intelligence software
TheirStackTheirStack Logo
Log inSign up
DocumentationAPI ReferenceWebhooksDatasetsMCPGuides

Find hidden candidates with niche technology experience

Use TheirStack technographic data to identify companies using a specific platform in your target market, then cross-reference with LinkedIn Recruiter to surface candidates whose hands-on expertise doesn't appear on their profile.

The problem with sourcing niche tech talent

When you're hiring for a niche platform — OneStream, Workday, Veeva, a specific ERP or CPQ tool — the candidate pool is small and well-known. Everyone contacts the same people. The candidates who list the technology on their LinkedIn profile have already been approached by every recruiter in the market.

But there's a larger group of candidates who have hands-on experience and are invisible: people who simply never updated their profile to reflect a platform they use daily at work. A Finance Systems Analyst at a company running OneStream knows OneStream — even if their LinkedIn says nothing about it.

TheirStack lets you map which companies in your target geography run a specific platform, so you can find these hidden candidates by proxy: instead of searching for the skill, you search for the company context.

How it works

The workflow has three steps:

  1. Map companies using the target technology in your geography using TheirStack's technographic search
  2. Export or copy the company list
  3. Open LinkedIn Recruiter, filter employees at those companies by job title, and reach out

Every person with the right title at one of those companies is a strong candidate — whether or not the technology appears on their profile.

Step-by-step walkthrough

Search for companies using the target technology

Go to Company Search and add two filters:

  • Technology → includes → your target platform (e.g. "OneStream", "Workday", "Veeva")
  • Location → country or city where you're sourcing

TheirStack detects technology usage from job postings: if a company has ever posted a role requiring that platform, it appears in your results. You can see how many job mentions back each signal — more mentions means higher confidence.

Explore the company profile to validate

Click on any result to open the company profile. You'll see:

  • All jobs ever posted by that company mentioning your target technology
  • The date range of those postings (recent vs. historical)
  • The full list of technologies detected across all their job postings

This lets you quickly judge whether the signal is current and strong enough to warrant outreach — or whether it was a one-off mention years ago.

For more on how to read a company profile, see how to discover the tech stack of any company.

Copy the company list to LinkedIn Recruiter

Once you have your filtered company list:

  1. Click Export to download a CSV with company names and domains, or use the LinkedIn Recruiter integration to import the list directly
  2. In LinkedIn Recruiter, filter employees at those specific companies by job title (e.g. "Finance Systems Analyst", "ERP Developer", "Business Systems Manager")

Every person with the right title at one of these companies is a strong candidate by inference — they work at a company that actively uses your target platform, in a role that involves that platform daily.

Prioritize and reach out

Sort your shortlist by:

  • Tenure at the current company: Longer tenure means deeper platform experience
  • Job title seniority: Match seniority to the role you're filling
  • Previous companies: Other companies in your TheirStack list on their work history confirms cross-company platform experience

Reach out with context. Mentioning that you know their company uses the specific platform — without it being on their profile — immediately differentiates your message from every generic recruiter note they receive.

Why this works better than keyword search

Searching LinkedIn for "OneStream" as a keyword only returns candidates who explicitly wrote it on their profile. The same logic applies to any niche enterprise platform: most users never bother to list the internal tools they work with.

Searching by company context flips the model:

Keyword searchCompany-context search
Only finds candidates who listed the skillFinds everyone at a company using that platform
Small pool, heavily contactedLarger pool, mostly untouched
Works for popular technologiesWorks especially well for niche platforms
No signal about current usageCompany's job history confirms active usage

For niche platforms with small installed bases, the company-context approach can surface 3–5× more candidates than keyword search alone.

Bonus: use the same data for BD

The same company list you built for candidate sourcing is a ready-made business development list. Every company using the platform is a potential client: they may need to hire, and you're the recruiter who specializes in exactly that technology.

When reaching out for BD, you can reference the platform by name and speak specifically to the scarcity of available talent — a concrete, credible reason to bring in a specialist firm rather than sourcing in-house.

See targeting companies with active job openings for how to layer hiring signals on top of your technographic list.

Further reading

Technographic Data

Discover TheirStack's comprehensive technographic database with [[total_technologies]] technologies mapped across [[total_companies]] companies worldwide. Access real-time tech stack insights derived from millions of job postings with confidence scoring and complete data transparency.

How to Discover Any Company's Tech Stack | TheirStack

Step-by-step guide to finding what technologies any company uses — from backend infrastructure to internal tools — using TheirStack's job-posting-based technographic data.

How to Build a Targeted Lead List Using Technographic Data

Step-by-step guide to building targeted sales lead lists by filtering companies based on their tech stack using TheirStack's [[total_technologies]]+ technology database.

How to Target Companies by the Technology They Use

Learn three proven strategies for targeting companies based on their tech stack — must-have technologies, competitor customers, and partner integrations — to build high-fit prospect lists.

How is this guide?

Last updated on

How to Exclude Specific Companies from a Search

Step-by-step guide to creating a blacklist of companies and excluding them from your company search results using TheirStack's company list filters.

How to find old job postings

Learn how to find old, expired, and deleted job postings from any company — including LinkedIn and Indeed. Access historical job data dating back to 2021 using TheirStack search, company lookup, API, or datasets.

On this page

The problem with sourcing niche tech talent
How it works
Step-by-step walkthrough
Why this works better than keyword search
Bonus: use the same data for BD
Further reading