Match Jobs for Digital Marketing Specialist Roles
A quick example on how you can match against listings with Digital Marketing Specialist profiles through our job feed data API with semantic search capabilities.
This basic example demonstrates how to use the vector embeddings and vector search capabilities of the jobdata API to match Digital Marketing Specialist job profiles based on semantic similarity. This way you can find job listings that align closely with a given job profile description, even if the exact keywords are not present in the job description. This is particularly useful for HR platforms, recruitment tools, and job boards aiming to improve candidate-job matching accuracy.
By leveraging our pre-generated embeddings and semantic search features, you can unlock powerful semantic matching capabilities to enhance your job search or recruitment platform. Whether you're matching candidates to jobs or analyzing job market trends, these features provide a robust solution for understanding and matching job profiles based on context and meaning.
Job Matching Example
The API provides pre-generated vector embeddings for all job posts, currently created using OpenAI's `text-embedding-3-small` model. These embeddings capture the semantic meaning of job titles and descriptions, enabling the API to perform semantic searches based on a job profile description.
When you provide a job profile description (e.g., "Proven track record in driving online engagement through SEO, PPC, social media campaigns, and data-driven marketing strategies."), the API:
- Converts the text into a vector embedding in real-time.
- Compares this embedding against the pre-generated embeddings of job posts using cosine similarity.
- Returns job listings that are most semantically similar to the profile, ordered by relevance.
Here's a link to a live API results page:
Proven track record in driving online engagement through SEO, PPC, social media campaigns, and data-driven marketing strategies.
The results include a cosine_dist field, which indicates the similarity between the query and each job post. Lower values represent higher semantic similarity.
Query the jobdata API
Example search request (with header auth):
curl -X GET -H \
"Authorization: Api-Key YOUR_API_KEY" \
https://jobdataapi.com/api/jobs/?max_age=90&vec_text=Proven track record in driving online engagement through SEO, PPC, social media campaigns, and data-driven marketing strategies.
Example search request (with auth param):
curl https://jobdataapi.com/api/jobs/?api_key=<YOUR API KEY>&max_age=90&vec_text=Proven track record in driving online engagement through SEO, PPC, social media campaigns, and data-driven marketing strategies.
Shown below is a live example of what a list with the top matched jobs could look like, filtered by the job position profile from above with the most recent data from our global database:
Performance Marketing Specialist
İstanbul, Türkiye
Full TimeMid-level
Lead Digital Marketing Analyst
Philippines - Remote
Full TimeSenior level
Senior Performance Marketing Specialist
İstanbul, Türkiye
Full TimeSenior level
Performance Marketing Lead
Tel Aviv-Yafo, Tel Aviv District, IL
Full TimeSenior level
Performance Marketing Manager
Southfield, Michigan, United States
Full TimeMid-level
Search Engine Marketing and Paid search Team Lead
Riyadh, Riyadh Province, Saudi Arabia
Full TimeSenior level
PPC Specialist
Gujarat, Ahmedabad, India
Full TimeMid-level
Performance Marketing Senior Specialist (Domestic)
Egypt - Remote
Full TimeMid-level
Performance Marketing Senior Specialist (International)
Jordan - Remote
Full TimeMid-level
Director of Digital Marketing
Hickory, NC, United States
Full TimeExecutive level
Find out more on how to use the jobdata API in our docs.