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Currently tracking 16 active AI roles, up 102% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $98k–$165k (avg $138k).

Hiring
16 / 20
Momentum (4w)
↑+49 +102%
97 opens last 4w · 48 prior 4w
Salary range · avg $138k
$98k–$165k
USD · disclosed roles only
Tracked since
Oct '25
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Sep 1
1 new role
Oct 6
4 new roles
13
1 new role
20
4 new roles
Nov 3
8 new roles
10
2 new roles
17
3 new roles
24
2 new roles
Dec 1
1 new role
8
3 new roles
22
2 new roles
Jan 12
7 new roles
19
10 new roles
Feb 2
10 new roles
9
4 new roles
16
7 new roles
23
1 new role
Mar 2
5 new roles
9
19 new roles
16
12 new roles
23
13 new roles
30
8 new roles
Apr 6
15 new roles
13
28 new roles
20
27 new roles
27
29 new roles
May 4
13 new roles
11
Braze

Braze

Enterprise · Marketing automation

Jobs (2)

16 AI · 224 total active
FilteredStagePost-train×FunctionEngineering×CountryCanada×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllPost-train · 10Serve · 2Agent · 4
Function
AllEngineering · 16
Country
AllBrazil · 4United States · 4Canada · 3Romania · 3Australia · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Data Scientist, AI Deployment
Data Scientist, AI Deployment at Braze, responsible for designing and building end-to-end ML solutions for customer personalization. This role involves owning the full ML pipeline from data transformation and model training to activation, and extending product capabilities. They will also partner with the Product team to advance reinforcement learning algorithms and shape AI product strategy.
Post-trainServeEngineeringToronto, ON2w ago7
Forward-Deployed Data Scientist
The Forward-Deployed Data Scientist at Braze partners with customers to implement BrazeAI solutions, focusing on ML model configuration, data integration, and refining reinforcement learning algorithms. This role extends product capabilities by developing reusable data pipelines and components, and contributes to product strategy through customer insights.
Post-trainData
Engineering
Toronto, ON
Nov '25
7