Our Webinar Is Live: Fixing the Data Layer for AI Job Search Platforms

Fixing the Data Layer for AI Job Search Platforms

A practical guide for teams building copilots, matching engines and auto-apply apps.

Watch the session

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What you'll learn

Why job data goes stale in four quiet ways
The five things AI products need from job data
Three ways to source job data: build your own crawler, use open and partner feeds, or buy from a data provider
How to choose a route: build, blend or buy?
Five questions to ask any data source

What the 15 minutes cover

It’s 15 minutes, in four parts.
Fixing the Data Layer for AI Job Search Platforms
0:00–3:15

Why job data goes stale in four quiet ways

3:15–7:15

The five things AI products need from job data

7:15–12:00

Three ways to source job data, making your own data AI-ready, and the pipeline every AI job product needs

12:00–15:00

Build, blend or buy? How to choose a route, and five questions to ask any data source

Who should watch

Anyone building a product that helps people find work: a job copilot, a matching engine, an auto-apply tool.

Job copilots

Every recommendation must be apply-able today.

Matching engines

“Sr. SWE II” and “Senior Software Engineer” are the same role.

Auto-apply tools

Most postings never announce they have closed. The page just changes or disappears.

Prashant Gupta
YOUR PRESENTER
Prashant Gupta

Product Manager, JobsPikr

Your AI is smart. Your job inventory isn't.

Users don’t blame the data. They blame your product.