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Dropbox

Dropbox

Enterprise · Storage

HQ
San Francisco, US
Founded
2007
Size
1,000+
Website
dropbox.com

Currently tracking 10 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $154k–$385k (avg $246k).

Hiring
10 / 14
Momentum (4w)
↑+4 +14%
33 opens last 4w · 29 prior 4w
Salary range · avg $246k
$154k–$385k
USD · disclosed roles only
Tracked since
Oct '25
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Dec 2
1 new role
30
2 new roles
Mar 17
1 new role
Jul 14
2 new roles
Oct 20
1 new role
Nov 17
4 new roles
Dec 1
2 new roles
8
1 new role
29
1 new role
Jan 5
2 new roles
12
3 new roles
19
2 new roles
26
4 new roles
Feb 2
4 new roles
9
4 new roles
16
4 new roles
23
2 new roles
Mar 2
4 new roles
16
4 new roles
23
7 new roles
30
14 new roles
Apr 6
6 new roles
13
6 new roles
20
18 new roles
27
3 new roles
May 4

Jobs (2)

10 AI · 76 total active
FilteredStageData×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Agent · 5Ship · 8
Function
AllProduct · 40Engineering · 36
Country
AllUnited States · 60Canada · 58Mexico · 24Poland · 9
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Staff Data Engineer
Staff Data Engineer to join the Analytics Data Engineering (ADE) team within Data Science & AI Platform. Responsible for solving cross-cutting data challenges, driving standardization in analytics pipelines, modernizing the analytics platform, and laying the foundation for AI-native data development. Will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams. Key responsibilities include designing and implementing shared data models, driving standardization of data engineering practices, architecting shift-left data governance, and evaluating/integrating AI-native tooling.
DataEngineeringMexico7w ago5
Staff Data Engineer, Analytics Data Engineering
Staff Data Engineer to modernize Dropbox's analytics platform, build shared data models, and integrate AI-native tooling for data development. Focus on standardization, governance, and pipeline architecture.
DataEngineeringCanada +2Feb 185