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Currently tracking 22 active AI roles, up 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $116k–$264k (avg $186k).

Hiring
22 / 26
Momentum (4w)
↑+18 +32%
74 opens last 4w · 56 prior 4w
Salary range · avg $186k
$116k–$264k
USD · disclosed roles only
Tracked since
Sep '25
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Sep 22
2 new roles
Oct 6
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13
3 new roles
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Nov 10
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Dec 1
3 new roles
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1 new role
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1 new role
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Jan 5
6 new roles
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13 new roles
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6 new roles
Feb 2
8 new roles
9
8 new roles
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Mar 2
24 new roles
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Apr 6
14 new roles
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31 new roles
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May 4
6 new roles
11
Klaviyo

Klaviyo

Enterprise · Marketing automation

HQ
Massachusetts, US
Founded
2012
Website
klaviyo.com

Jobs (2)

22 AI · 238 total active
FilteredStageData×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Serve · 3Agent · 37Ship · 4
Function
AllProduct · 158Engineering · 102
Country
AllUnited States · 207Ireland · 24United Kingdom · 16Australia · 6Singapore · 6Germany · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Software Engineer - Analytics Data Engineering
This role focuses on building and owning the data foundations that power Klaviyo's Analytics & AI engine. The Senior Software Engineer will design and implement scalable data pipelines and analytics models to transform large volumes of event data into actionable insights, enabling AI/ML products and customer-facing analytics features. The role involves collaborating with AI/ML teams, mentoring other engineers, and evolving technical standards for data engineering.
DataEngineeringBoston, MAJan 125
Engineering Manager - Data Automation
Engineering Manager for the Data Automation team at Klaviyo, focusing on building and scaling data infrastructure. The role involves leading a team of 7+ engineers, defining technical vision, and optimizing infrastructure. A key aspect is transforming workflows by integrating AI to build smarter systems and improve efficiency, though the core deliverable is data infrastructure rather than AI models themselves.
Data
Engineering
Boston, MA
Jan 6
5