Asana
Enterprise · Work management
- HQ
- San Francisco, US
- Founded
- 2008
- Website
- asana.com
Asana is currently hiring for 22 active AI-related roles. The majority of these positions, 86%, are focused on agents, with the remaining 14% in application development. Engineering accounts for the largest number of these roles, followed by product. Hiring is distributed across the United States, Canada, and Poland. Frequent technology tags include agent orchestration, LLM observability, and tool use, suggesting a focus on building and managing AI agents. Over the last 30 days, Asana has added 9 new AI roles, representing a 29% increase compared to the previous 30-day period.
Currently tracking 8 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $176k–$470k (avg $283k).
Enterprise · Work management
Asana currently has 19 active AI-related roles in our index. The most common open titles are: AI Engineer, AI Prompt & Workflow Designer, Competitive Intelligence Analyst, Data Scientist, Global Experience Manager. Most positions are in Engineering and Product.
Asana's active AI hiring is concentrated in: agents (89%), application (11%). 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: Poland (8 roles), United States (7 roles), Canada (4 roles).
Job postings at Asana most frequently reference: agent orchestration, rag, llm observability, model serving, tool use.
In the past 30 days, Asana has posted 10 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Engineering Manager, AI Agents Senior Engineering Manager to lead the AI Teammates Platform team, responsible for the execution engine and capability layer that powers AI Teammates. This involves managing a team of engineers building systems for AI Teammate reasoning, execution, and improvement, including model integration, proactive agent behavior, and the developer platform. The role focuses on applied AI problems in an enterprise context, working with model partners and defining how AI agents collaborate with humans. | Agent | 8 |
| Senior Software Engineer, AI Retrieval Senior Software Engineer to build and optimize AI retrieval systems, focusing on improving speed, cost-efficiency, and quality, and expanding capabilities to new data sources and ML-powered features like embeddings-based retrieval and semantic search. Also responsible for traditional search experience. | AgentServe | 7 |
| Staff Software Engineer, AI Developer Experience Staff Software Engineer to integrate and improve AI developer experience, building AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents. Focus on designing and scaling autonomous cloud agents for complex engineering tasks and improving AI-assisted code review workflows. | Agent | 7 |
| Senior Software Engineer, AI Developer Experience Senior Software Engineer to improve AI developer experience by building AI-augmented workflows, coding agents, and IDE/editor integrations to increase engineer velocity at Asana. | Agent | 7 |
| Senior Software Engineer, AI Retrieval Senior Software Engineer on the AI Retrieval team at Asana, focusing on building and optimizing systems for retrieving relevant work graph content to power AI features and traditional search. This involves reducing latency and cost, improving relevance, expanding to new data sources, and contributing to ML-powered features like embeddings-based retrieval and semantic search. | AgentServe | 7 |
| Senior Software Engineer, AI Chat Senior Software Engineer to build the backend foundations for Asana's AI chat products, focusing on shared infrastructure, tool selection, evaluation, and observability. The role involves designing and evolving platform capabilities, building shared APIs, partnering with product teams, and developing Asana's AI Evaluation platform. | AgentEval Gate | 7 |
| Senior Engineering Manager, Enterprise Services Management Senior Engineering Manager to lead a team building a new AI-native Enterprise Service Management business line at Asana, focusing on AI agents and workflow automation. | Agent | 7 |
| AI Engineer AI Engineer role focused on building scalable AI workflows for internal enterprise functions, integrating foundational LLMs with GTM stack, designing prompting strategies, orchestration logic, and tool integrations. Responsibilities include building AI data infrastructure (RAG, retrieval pipelines), designing AI interfaces, and leading the transition from POC to production. Requires 5+ years of experience in AI-driven systems and 1+ year with Generative AI (LLMs, RAG, prompt engineering). | AgentServe | 7 |