Who sees a Featured Job Listing on DataDriven.io?

Approximately 14,200 active data, ML, and AI engineers practice on DataDriven.io each month. 41 percent are senior IC (5 to 10 years), 12 percent staff or principal, and 94 percent are actively interviewing or open to a new role. You filter the placement by skill, seniority, and geography.

How is this different from LinkedIn Jobs?

Every active member on DataDriven.io has executed graded SQL, Python, or Spark on the platform. The audience is verified by what they have done, not by self-reported tags. Featured Job Listings reach engineers inside the interview-prep workflow, not while they are scrolling a feed.

What ATSes do you support for one-click apply?

Greenhouse, Lever, Ashby, Workable, and direct URL. Candidates click through to your ATS rather than applying inside DataDriven.io.

Hire · for technical recruiters & in-house TA

Put your open role in front of data engineers practicing on the platform

For one specific req

Featured Job Listing

A pinned, branded role on the topic pages your candidate is practicing. One-click handoff to your ATS.

You get

Pinned placement on topic and problem pages matched to the role
Targeting by skill, seniority, and geography
One-click apply to Greenhouse, Lever, Ashby, Workable, or a direct URL

You bring A job description, the ATS URL, and the targeting filters that match the role.

You measure

Qualified applicants per req
Click-through to ATS
Application-start rate
Time-to-first-applicant

Always-on careers presence

Brand Slot, careers edition

Logo and tagline on a topic page, linked to your careers site. The right fit for heavy hiring quarters.

You get

Logo and one-line tagline on a topic or jobs page
Category exclusivity on that topic for the term
UTM-tagged link to your careers URL

You bring Logo, one-line tagline, and the careers URL.

You measure

Careers-page sessions from the slot
Application starts
Branded-search lift

Always-on

Always-on Partnership

Continuous hiring presence across your reqs and topic pages. One channel instead of renewing slot by slot.

You get

Rolling Featured Listings as your reqs open and close
Brand Slot careers presence on the topics that match your stack
Category exclusivity on those topics for the term
Named contact and a quarterly review

You bring Your open and forecasted reqs, the ATS each one routes to, and the candidate profile.

You measure

Cost per qualified applicant
Hires sourced
Fill rate
Time-to-offer
Monthly funnel by req

Apply

Tell us about the role

The application is short. We read every one and reply personally. If your role is genuinely a fit for this audience, we will scope a listing and quote the term.

Apply →

Hiring guides

Read first, then apply.

Channel-by-channel research on hiring data, ML, AI engineers, and data scientists in 2026. Updated monthly.

Pillar guide

Put your open role in front of data engineers practicing on the platform

Featured Job Listing

Brand Slot, careers edition

Always-on Partnership

Tell us about the role

Read first, then apply.

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