Enterprise · Work management
Asana currently has 16 active job listings related to artificial intelligence. The majority of these roles, 88%, are focused on the agents stage. The primary hiring function is Engineering, with 13 positions, followed by Product with 3. The most frequently mentioned technical tags include agent orchestration, evals, and tool use. Over the last 30 days, Asana has posted 6 new AI roles, representing a 33% decrease compared to the preceding 30-day period.
Currently tracking 10 active AI roles, with 57 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $171k–$470k (avg $241k).
Asana currently has 18 active AI-related roles in our index. The most common open titles are: Competitive Intelligence Analyst, Data Scientist, Director of Engineering, AI Platform, Group Tech Lead, Security Threat Operations & Response Management, Product Manager, Core Agents. Most positions are in Engineering and Product.
Asana's active AI hiring is concentrated in: agents (83%), application (6%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Asana is hiring AI talent in: United States (11 roles), Poland (5 roles), Canada (2 roles).
Job postings at Asana most frequently mention: AI Coding Agents, Agentic Systems, API Design & Development, Orchestration, Networking.
In the past 30 days, Asana has posted 7 new AI-related roles. That is a +40% change versus the prior 30 days (5 → 7).
| Title | Stage | AI score |
|---|---|---|
| Enterprise Account Executive, Command This role is for an Enterprise Account Executive focused on launching and selling 'Command by Asana', a new product for software development teams. The role involves building sales plays, navigating technical sales cycles, and gathering customer insights to inform product development. The ideal candidate will have B2B SaaS sales experience, a deep understanding of software development workflows, and familiarity with developer ecosystems including AI coding agents. The compensation package includes On-Target Earnings (OTE) ranging from £175,000 to £200,000. | — | 5 |
| Enterprise Solutions Engineer, Service Management This role is a Solutions Engineer focused on Asana Service Management for IT and service teams. The primary responsibility is to partner with Account Executives to lead technical validation, develop solution designs, conduct demonstrations, and build repeatable technical assets. The role involves understanding customer workflows, translating pain points into solutions, and advising on architecture and integrations. While the role mentions AI and LLMs, it is not a core craft of building AI models but rather using and explaining them in the context of enterprise solutions. |
| — |
| 5 |
| Solutions Consultant Solutions Consultant role at Asana, focusing on driving customer acquisition and revenue growth by showcasing the value of the Asana platform, particularly its AI capabilities, to prospects in the UKI region. The role involves partnering with sales teams, understanding customer needs, developing product demonstrations, and acting as a trusted advisor. | — | 5 |
| Solutions Consultant Solutions Consultant role at Asana, focusing on driving customer acquisition and revenue growth by showcasing the value of the Asana platform, particularly its AI capabilities, to prospects in the UKI region. The role involves partnering with sales teams, understanding customer needs, developing product demonstrations, and acting as a trusted advisor. While the company is AI-focused and the role mentions AI technologies, the core function is sales and product demonstration, not direct AI/ML model development or deployment. | — | 5 |
| Manager, Enterprise Sales Manager, Enterprise Sales for Asana, an AI collaboration platform. Responsible for leading go-to-market strategy and execution in the UK and Ireland, managing a sales team, and driving revenue growth across key industry verticals. Requires deep enterprise sales experience and ability to scale sales organizations. The role involves partnering with Product teams to influence product evolution based on customer insights. | — | 0 |