BUILT FOR DATABRICKS TALENT TEAMS

Hire AI and data talent at Databricks pace

Gem is the AI-first all-in-one recruiting platform built for Databricks-scale hiring. ATS, CRM, sourcing, scheduling and analytics in one system, used by Anthropic, GitLab, Vercel, Scale AI, Benchling and Robinhood.

Recruiter productivity

At Databricks-scale AI hiring across ML, data and platform teams.

50%

Lower cost-per-hire

Across ML, data and GTM hires versus a fragmented agency-plus-tools stack.

10 days

Off time-to-fill

For ML engineer roles. Faster kickoff-to-offer without dropping bar.

WHY NOW FOR DATABRICKS

You are the AI platform layer. Hiring has to keep up.

Databricks is hiring ML engineers, applied AI researchers, platform engineers, partner and field GTM in parallel, at a pace the market has not seen outside of foundation-model labs. Mosaic AI, Lakeflow, Unity Catalog and Genie each carry their own roadmap and their own org chart, and each one needs senior technical talent today, not next quarter.

A fragmented stack of ATS, agency spreadsheets, sourcing tabs and disconnected outreach tools can not match that pace. Gem consolidates the entire recruiting motion into one operating system, so a recruiter can move a Mosaic AI candidate from sourced to offer in the same workflow they use for a Genie GTM hire, with full source-of-hire and pass-through analytics rolling up to the head of TA.

THE PLATFORM

Four pillars, one system of record.

01 — ATS

Applicant tracking, modernized

A full ATS for the hiring lifecycle, with structured interview kits, scorecards and offer management. Runs standalone or alongside Workday and Greenhouse for the system-of-record sync.

02 — CRM

Talent CRM that remembers

Every past candidate, alum, silver medalist and event attendee surfaced when a new req opens. No more buying lists or starting from a blank LinkedIn search.

03 — SOURCING

AI sourcing across 800M+ profiles

AI-first outbound: build a persona, surface a slate, send sequenced personalized outreach. The same recruiter ships 5x more conversations per week, without burning the brand.

04 — SCHEDULING + ANALYTICS

Operations and insight

Interview scheduling, source-of-hire, outbound reply rates and DEI funnel analytics. The data layer your hiring leaders use to decide where to invest next quarter.

CUSTOMER STORY

Hiring outcomes at enterprise scale.

"Within the first 30 days of using Gem, we were filling positions that had been open for over a year."

Sammy Reardon
Senior Director of Recruiting, Amazon One Medical

THE MATH

What changes for Databricks in year one.

Gem replaces a stack of fragmented ML hiring tools (LinkedIn Recruiter seats, separate sourcing add-ons, agency retainers, point CRMs). One consolidated platform, one consolidated bill.

Adds 5x recruiter capacity without adding headcount. The same TA team carries more reqs through more pipeline, end-to-end, in a single workflow.

↓

Cuts cost-per-hire across ML, data and GTM by ~50%. Fewer agency placements, faster in-house outbound, less time wasted in tool-switching.

Ready to hire at Databricks pace?

30 minutes, scoped to your ML, data and GTM funnels. We will show outbound reply rates, source-of-hire and Workday or Greenhouse sync live.

Book a Databricks walkthrough