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Currently tracking 10 active AI roles, with 31 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$376k (avg $279k).

Hiring
10 / 10
Momentum (4w)
·0 0%
31 opens last 4w · 31 prior 4w
Salary range · avg $279k
$153k–$376k
USD · disclosed roles only
Tracked since
Jun '25
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
Jul 8
1 new role
Oct 28
1 new role
Jan 13
1 new role
20
2 new roles
27
1 new role
Feb 17
1 new role
Apr 21
10 new roles
Jun 2
2 new roles
9
1 new role
16
1 new role
Jul 21
1 new role
28
2 new roles
Aug 11
1 new role
25
1 new role
Sep 15
1 new role
22
1 new role
29
1 new role
Oct 6
1 new role
13
5 new roles
27
3 new roles
Nov 3
1 new role
10
4 new roles
17
2 new roles
24
1 new role
Dec 1
3 new roles
8
6 new roles
15
2 new roles
Jan 5
7 new roles
12
2 new roles
19
1 new role
26
9 new roles
Feb 2
2 new roles
9
6 new roles
16
4 new roles
23
5 new roles
Mar 2
4 new roles
9
3 new roles
16
8 new roles
23
8 new roles
30
5 new roles
Apr 6
10 new roles
13
12 new roles
20
10 new roles
27
6 new roles
May 4
3 new roles
11

Jobs (157)

10 AI · 157 total active
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Post-train · 1Serve · 2Agent · 12Ship · 4
Function
AllProduct · 116Engineering · 39Research · 2
Country
AllUnited States · 103Canada · 52United Kingdom · 17Japan · 9Brazil · 7France · 7Singapore · 5India · 3Australia · 2Ireland · 2Israel · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Account Executive, Enterprise (London, United Kingdom)
Enterprise Account Executive role at Figma, focused on driving sales and revenue with enterprise customers. Responsibilities include pipeline management, value-selling, strategic account planning, and co-creating with cross-functional partners. Requires experience in enterprise software/SaaS sales and managing complex sales cycles.
—ProductLondon, United KingdomFeb '250
Account Executive, Enterprise
Enterprise Account Executive role at Figma, focused on driving sales and revenue with large enterprise customers. Responsibilities include pipeline management, building relationships with decision-makers, understanding business needs, and delivering solutions across Figma's product suite, which includes AI-powered features. The role requires experience in closing complex SaaS sales cycles with enterprise clients.
—ProductUnited StatesJan '250
Account Executive, Enterprise (Paris, France)
This is a sales role for an Enterprise Account Executive at Figma, focused on driving revenue with enterprise customers. While the company's product suite incorporates AI, this role is not directly involved in building or developing AI/ML models or systems.
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Product
Paris, France
Jan '25
0
Account Executive, Mid-Market
Account Executive, Mid-Market at Figma. Responsible for driving sales and revenue, building relationships with decision-makers, understanding business needs, and delivering solutions across Figma's product suite. This role involves managing existing customers, aligning with executives on business priorities, creating account plans, and collaborating with cross-functional partners. Requires experience in closing software/SaaS sales, managing complex sales cycles, and a strong sales methodology.
—ProductUnited StatesJan '250
Account Executive, Mid-Market (London, United Kingdom)
This is a sales role for a company that has AI as a feature of its product suite. The role is not directly involved in building or developing AI.
—ProductLondon, United KingdomJan '250
Account Executive, Emerging Enterprise (Berlin, Germany)
Account Executive for Figma's emerging enterprise segment in the DACH region. Focuses on building sales pipelines, exceeding targets, and establishing relationships with key stakeholders within enterprise accounts. Requires 3+ years of closing experience, ideally with SaaS products, and fluency in German. Experience selling to technical audiences or with UX/UI principles is a plus.
—ProductBerlin, DENov '240
Data Engineer
Data Engineer role focused on building and maintaining scalable data pipelines, optimizing them for scale, and partnering with Data Science and Data Infrastructure teams to create foundational data sets. The role also involves working with cross-functional stakeholders to derive requirements and architect shared datasets, establishing best practices for specialized data sets for analytics and modeling.
—EngineeringCanada +1Jul '240