Job postings data
In short
Job postings data is the dataset built from public job advertisements across company career pages and job boards. It records fields like title, department, seniority, location, required skills, and when the role was posted.
For GTM teams, it works as a window into a company's plans. Roles and requirements show what a company is building, which tools it uses, and where it is spending.
What is in job postings data
Role details
Title, function, seniority level, and number of openings.
Skills and tools
Technologies and software named in requirements, which hint at the stack.
Timing
First seen, last seen, and how long a role has been open.
Location
Where the role is based, useful for regional expansion signals.
How GTM teams use it
Say a vendor sells a data warehouse connector. It searches postings that mention a certain warehouse, lists the companies, and targets data leaders there.
- Technographic hints: Infer tools in use from required skills.
- Expansion signals: New locations or many roles show growth plans.
- Persona targeting: A posting for a role often reveals who the hiring leader is.
- Competitive context: Postings that name your category or alternatives show a need or an existing choice.
Quality issues to watch
- Duplicates: The same role is often posted on several boards.
- Ghost jobs: Some listings stay open without real hiring intent.
- Coverage gaps: Smaller companies post less, or only on their own site.
- Parsing errors: Titles and skills are free text, so normalization matters.
Job postings data vs hiring signals
Job postings data is the raw material. Hiring signals are the conclusions you draw from it, such as a first hire in a function.
Job postings data FAQs
What is job postings data?
Job postings data is structured information collected from public job listings, including role titles, locations, skills, and dates. Companies and sales teams analyze it to understand a company's priorities, tools, and growth plans.
How can sales teams use job postings data?
They use it to find accounts hiring in relevant functions, infer the tools a company uses from listed skills, spot expansion by location, and identify the leaders who own a given team. This guides both targeting and messaging.
Is job postings data accurate?
It is useful but imperfect. Duplicates, ghost listings, and missing small companies are common, and free-text fields need cleaning. Treat it as a directional signal and verify important findings before acting.
Where does job postings data come from?
It is collected from public sources such as company career pages and job boards, then cleaned and structured. Data providers aggregate and standardize it, though coverage and freshness differ between providers.
