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Cognition is actively hiring for 18 AI-related roles. The majority of these positions, 61%, are focused on agents, with application roles making up another 22%. Engineering is the most frequent function for these hires. Over the last 30 days, Cognition has posted 5 new AI roles, representing a 400% increase compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-18

Currently tracking 14 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $260k–$300k (avg $280k).

Hiring
14 / 14
Momentum (4w)
↑+6 +55%
17 opens last 4w · 11 prior 4w
Salary range · avg $280k
$260k–$300k
USD · disclosed roles only
Tracked since
Mar '24
last role 6w ago
Hiring velocityscroll left for older weeks
1 new role
Mar 4
1 new role
Sep 30
2 new roles
Jul 7
2 new roles
Sep 22
2 new roles
Oct 13
1 new role
20
1 new role
Nov 17
3 new roles
24
1 new role
Dec 1
1 new role
15
5 new roles
Jan 5
2 new roles
26
3 new roles
Feb 2
5 new roles
9
3 new roles
16
3 new roles
23
1 new role
Mar 2
2 new roles
9
3 new roles
16
4 new roles
23
4 new roles
30
1 new role
Apr 6
3 new roles
13
1 new role
20
4 new roles
27
3 new roles
May 4
2 new roles
11
2 new roles
18
4 new roles
25
3 new roles
Jun 8
5 new roles
15
5 new roles
22
Cognition

Cognition

Coding AI · Devin autonomous coding agent

Frequently asked questions

  • What AI roles is Cognition hiring for?

    Cognition currently has 18 active AI-related roles in our index. The most common open titles are: Partner Deployed Engineer - APAC (2), AI Enablement Engineer, Applied AI Transformation Manager - APAC, Applied AI Transformation Manager - Europe , Data Engineer, Core Product. Most positions are in Engineering and Product.

  • What stage of AI development does Cognition focus on?

    Cognition's active AI hiring is concentrated in: agents (61%), application (22%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Cognition hiring AI talent?

    Cognition is hiring AI talent in: United States (12 roles), United Kingdom (2 roles), India (2 roles), Singapore (1 role).

  • What technologies does Cognition's AI team work with?

    Job postings at Cognition most frequently reference: agent orchestration, agent research, evals, tool use, code gen.

  • How many AI roles has Cognition posted recently?

    In the past 30 days, Cognition has posted 2 new AI-related roles. That is a -60% change versus the prior 30 days (5 → 2).

Jobs (3)

12 AI · 67 total active
FilteredStageShip×FunctionEngineering×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllPretrain · 1Post-train · 1Serve · 1Agent · 11Ship · 4
Function
AllProduct · 47Engineering · 18Research · 2
Country
AllUnited States · 39Japan · 6United Kingdom
· 6
Singapore · 5
Australia · 3
Saudi Arabia · 3
India · 2
Brazil · 1
South Korea · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Partner Deployed Engineer - APAC
This role focuses on enabling Global Systems Integrators (GSIs) to deploy, scale, and deliver value with Cognition's AI agents (Devin and Windsurf) to their clients. The Partner Deployed Engineer will work closely with partners to build repeatable offerings, provide technical enablement, co-deliver pilots, and act as a technical representative within partner organizations, influencing the product roadmap based on field learnings.
ShipEngineeringIndiaJan 68
Deployed Engineer, Federal
Applied AI lab building end-to-end software agents, specifically Devin (AI software engineer) and Windsurf (AI-native IDE). This role is for a foundational engineer in the federal group, focusing on deploying and integrating these agents within federal enterprise accounts, translating customer needs into product requirements, and architecting complex deployments.
ShipEngineeringWashington, DCJan 267
QA Engineer - APAC
QA Engineer role focused on ensuring the quality of AI software agents (like Devin and Windsurf) by owning end-to-end product quality, designing and executing test strategies, debugging issues across layers (including AI behavior), and building scalable QA processes and automation. Requires strong QA experience, a developer mindset, and familiarity with AI-powered products.
ShipEngineeringIndiaFeb 275