Cognition
Coding AI · Devin autonomous coding agent
Coding AI · Devin autonomous coding agent
Cognition currently has 22 active AI-related job listings, with a significant focus on roles within the "agents" stage, accounting for 64% of their openings. The majority of these positions are in Engineering. The company is actively hiring for roles related to agent orchestration, LLM observability, and tool use.
Currently tracking 13 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $260k–$300k (avg $280k).
Cognition currently has 24 active AI-related roles in our index. The most common open titles are: Partner Deployed Engineer - APAC (2), AI Enablement Engineer, AI Support Engineer, Applied AI Engineer - ANZ, Applied AI Engineer - APAC. Most positions are in Engineering and Product.
Cognition's active AI hiring is concentrated in: agents (67%), application (21%), serving infrastructure (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cognition is hiring AI talent in: United States (13 roles), United Kingdom (2 roles), Singapore (2 roles), Japan (2 roles).
Job postings at Cognition most frequently mention: CI/CD, System Design, Kubernetes, Tool-Using Agents, Technical Leadership.
In the past 30 days, Cognition has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Account Director - LATAM Account Director for an applied AI lab building end-to-end software agents, focusing on sourcing, closing, and activating enterprise customers for their AI software engineer product, Devin. Requires deep experience selling technical solutions and providing product feedback. | — | 5 |
| Deployed Engineer - LATAM This role is for a Deployed Engineer at Cognition, an applied AI lab building end-to-end software agents like Devin and Windsurf. The engineer will be customer-facing, helping customers maximize value from Devin/Windsurf by understanding workflows, identifying use cases, deploying the product, leading demos, supporting integrations, and driving adoption. The role requires hands-on technical work, customer partnership, and rapid execution in a high-intensity, ambiguous environment. | — | 5 |