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Currently tracking 40 active AI roles, with 103 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $254k–$332k (avg $293k).

Hiring
40 / 41
Momentum (4w)
↓-3 -3%
103 opens last 4w · 106 prior 4w
Salary range · avg $293k
$254k–$332k
USD · disclosed roles only
Tracked since
Feb 17
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Aug 4
1 new role
Oct 27
1 new role
Dec 15
9 new roles
Jan 26
1 new role
Feb 2
1 new role
9
8 new roles
16
12 new roles
23
11 new roles
Mar 2
21 new roles
9
33 new roles
16
19 new roles
23
40 new roles
30
20 new roles
Apr 6
27 new roles
13
22 new roles
20
30 new roles
27
34 new roles
May 4
17 new roles
11

Jobs (2)

40 AI · 250 total active
FilteredStageAgent×CountryUnited States×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 5Pretrain · 1Post-train · 6Serve · 2Agent · 16Eval Gate · 3Ship · 7
Function
AllEngineering · 33Research · 5Product · 2
Country
AllAustralia · 28United Kingdom · 4United States · 4Austria · 3China · 3Saudi Arabia · 2
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Principal Solution Engineer, Ecosystem
Principal Solution Engineer for Canva's Ecosystem platform, focusing on integrating agentic AI systems with visual design. This role drives technical decisions and alignment between partners (like OpenAI, Google, Microsoft) and Canva engineering, sets technical direction for external platform surfaces, and grounds partner conversations in working code. The engineer will work across MCP, REST APIs, and Apps platform to ensure coherence and carry platform direction outward early. They will also shape strategic partner and customer engagements, leading technical relationships end-to-end.
AgentServeEngineeringSan Francisco, CA2d ago7
Product Manager - Algorithms (Flexible Level)
Product Manager for Algorithms at Canva, focusing on personalization strategies. The role involves leading cross-functional teams to develop and implement ML algorithms to enhance user engagement and retention, discover new ML opportunities, integrate AI/ML models into products, and define the personalization roadmap. Requires expertise in ML, data analysis, personalization algorithms, and strong communication skills.
Agent
Product
San Francisco, CA
4w ago
7