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).
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.
| Title | Stage | AI score |
|---|---|---|
| Product Manager, Rules Experience Product Manager to lead the Rules Experience team, owning Asana's workflow automation stack end-to-end, from AI to governance to product experiences. The role will drive the vision and roadmap for the Rules Experience and AI Studio stack, shape user experiences for workflow building and automation, lead the expansion of AI-assisted and prompt-driven workflow creation, develop visual workflow authoring tools, strengthen trust, control, reliability, observability, and governance for enterprise automation, and deliver business impact by powering Asana's AI Suite, a critical ARR growth lever. | ShipAgent | 7 |
| Data Scientist Data Scientist role focused on enhancing marketing effectiveness through data and scientific techniques. Responsibilities include architecting and leading the technical execution of the marketing data science roadmap, setting technical standards, providing mentorship, developing MLOps tooling, and researching emerging capabilities. The role requires expertise in advanced statistical modeling, causal inference, experimental design, and machine learning, with a proven track record in deploying production ML solutions. |
| Ship |
| 5 |
| Staff Data Scientist Staff Data Scientist at Asana to define growth strategy leveraging LLM interfaces and AI-driven channels for user acquisition and onboarding. Focus on PLG, experimentation, and influencing user adoption in the AI-era. | Ship | 5 |
| Senior Software Engineer, AI Studio Senior Software Engineer to build the next generation of Asana AI Studio, a no-code builder for AI-powered workflows. The role involves working on customer-facing product experiences and backend systems, partnering with Product, Design, and Data Science to make AI-powered workflows intuitive, capable, and reliable for organizations. | Ship | 5 |