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Currently tracking 18 active AI roles, up 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $140k–$425k (avg $263k).

Hiring
18 / 20
Momentum (4w)
↑+15 +32%
62 opens last 4w · 47 prior 4w
Salary range · avg $263k
$140k–$425k
USD · disclosed roles only
Tracked since
Jan 28
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Aug 19
3 new roles
Sep 30
3 new roles
Oct 28
2 new roles
Nov 11
1 new role
Jan 13
1 new role
Jun 23
2 new roles
Jul 7
2 new roles
Aug 4
1 new role
18
5 new roles
Sep 1
5 new roles
15
2 new roles
29
1 new role
Oct 13
4 new roles
Nov 17
7 new roles
24
14 new roles
Dec 8
2 new roles
15
4 new roles
Jan 5
12 new roles
12
2 new roles
19
5 new roles
26
4 new roles
Feb 2
12 new roles
16
28 new roles
23
5 new roles
Mar 2
16 new roles
9
4 new roles
16
12 new roles
23
9 new roles
30
18 new roles
Apr 6
8 new roles
13
15 new roles
20
8 new roles
27
35 new roles
May 4
4 new roles
11

Jobs (2)

18 AI · 224 total active
FilteredStageData×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Serve · 1Agent · 23Ship · 12
Function
AllProduct · 139Engineering · 85
Country
AllUnited States · 217Canada · 99Brazil · 14
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Data Engineer
Data Engineer at Brex, a fintech company, responsible for building and maintaining data models and pipelines, collaborating with Data Scientists and business units, and integrating data sources. The role involves using agentic AI to speed up pipeline and quality work, with a focus on data management best practices and setting company-wide data standards. Experience with data warehousing (Snowflake), workflow orchestration (Airflow), and Python is required.
DataEngineeringSan Francisco, CA +13w ago5
Data Engineer
Brex is seeking a Data Engineer to transform raw data into actionable insights by building and maintaining data models, pipelines, and analytics frameworks. The role involves collaborating with Data Scientists and business units, ensuring data quality, and integrating various data sources. The engineer will also use agentic AI to speed up pipeline and quality work.
DataEngineeringSan Francisco, CA +1Jan 85