Job matching

Automated Job Matching

Match candidates to jobs automatically

The problem

Matching candidates to jobs manually is slow and subjective. Recruiters miss good matches while spending too much time on poor fits.

The solution

We provide the structured data foundation for automated job matching. Compare parsed resume skills, experience, and qualifications against job requirements programmatically.

How it works

1

Parse job requirements

Structure your job requirements into matchable criteria.

2

Parse candidate resumes

Extract skills, experience, and qualifications with Resume Parser.

3

Run matching algorithm

Compare candidates against jobs using structured data.

4

Review top matches

Recruiters see ranked candidate-job matches.

Key benefits

Better matches

Structured comparison finds matches humans might miss.

Instant results

Match thousands of candidates to jobs in seconds.

Objective scoring

Data-driven matching removes subjective bias.

Proactive sourcing

Automatically surface candidates when new jobs open.

Frequently asked questions

Accuracy depends on your matching algorithm, but We provide the high-quality structured data needed for accurate matching.
Typically skills, experience years, education, certifications, and location. All of these are accurately extracted by our parser.
Yes, your matching algorithm can weight criteria however you want. Required skills might be weighted higher than preferred ones.
We provide the data extraction. You build or integrate matching algorithms that work with your specific requirements.

Enable job matching

Build automated job matching with structured data.

Learn more