Asana
Enterprise · Work management
- HQ
- San Francisco, US
- Founded
- 2008
- Website
- asana.com
Currently tracking 8 active AI roles, up 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $176k–$470k (avg $283k).
Enterprise · Work management
| Title | Stage | AI score |
|---|---|---|
| Junior Software Engineer, Reykjavik Junior Infrastructure Software Engineer (New Grad) role focused on building and operating foundational software for web and mobile applications, ensuring security, scalability, and speed. Responsibilities include learning and executing engineering best practices, contributing to infrastructure projects, collaborating globally, developing tooling, ensuring operational excellence in the cloud (AWS), and participating in on-call rotations. Requires strong CS fundamentals, a growing interest in distributed systems, and a demonstrated curiosity about AI tools. | — | 0 |
| Fullstack Software Engineer, Reykjavik Full-stack Software Engineer role at Asana, focusing on deploying, operating, and building systems that power the Asana product. The role emphasizes designing, developing, and operating services and frameworks, partnering with other teams, analyzing complex systems, and championing code quality. While the company is involved in AI collaboration and the role requires curiosity about AI tools, the core responsibilities are in general full-stack software engineering. | — |
| 0 |
| Engineering Manager, Development Infrastructure Engineering Manager for Development Infrastructure team at Asana, focusing on building and operating the platform that accelerates R&D and product delivery. The role involves managing and growing a team of engineers, defining team evolution, and influencing technical direction to improve developer velocity and experience. | — | 0 |
| Software Engineer, Reykjavik Software Engineer on the Infrastructure team at Asana, focusing on building and operating systems for security, scalability, and speed. The role involves analyzing problems, making technical decisions, collaborating on infrastructure architecture, developing frameworks and tooling, and ensuring operability through code quality and on-call rotations. While the company positions itself as a "human + AI collaboration" platform and the role mentions curiosity about AI tools, the core responsibilities are traditional infrastructure engineering, not direct AI/ML model development or deployment. | — | 0 |