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 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.
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 |
|---|---|---|
| Senior Engineering Manager, Agent Context Engineering Manager for the Agent Context team at Asana, focusing on the retrieval stack (search, embeddings, ranking, RAG) and evaluation infrastructure for AI systems. The role involves managing a team of senior engineers, driving technical direction, and ensuring the reliability and performance of AI experiences at enterprise scale. | AgentEval Gate | 8 |
| Product Manager, Core Agents Product Manager for Core Agents at Asana, focusing on defining and building AI agents that plan, execute, and coordinate work within Asana's work graph. The role involves ensuring agents act reliably and safely, building evaluation and monitoring systems, shaping agent collaboration with external systems (tool use, integrations), and partnering with engineering, design, and data science to deliver impactful product experiences for the agentic enterprise. Requires experience with AI, agents, automation, LLMs, prompt engineering, and complex systems. |
| Agent |
| 8 |
| 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 Product Manager, AI Agents Experience Product Manager to define the vision and roadmap for AI agents experience at Asana, focusing on human-AI collaboration, adoption, and trust. | Agent | 7 |
| Software Engineer, AI Developer Experience Software Engineer to integrate and improve AI developer experience, building AI-powered developer tools across editors, IDEs, CLIs, code review, and coding agents. The role focuses on designing and scaling autonomous cloud agents for complex engineering tasks and improving AI-assisted code review workflows. | Agent | 7 |
| Senior PM, Resource Management & Client Management Enterprise Senior Product Manager to lead the reinvention of Asana's Resource Management product, transitioning it into a proactive, agentic platform with AI Teammates. The role involves defining product strategy, validating market opportunity for a potential standalone offering, and designing AI-driven capabilities for utilization monitoring, risk prediction, and rebalancing. | Agent | 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 |
| SMB Solutions Engineer, Client Management Solutions Engineer role focused on the technical sales cycle for Asana's AI Teammates product, involving demos, workflow configuration, solution design, and driving AI Teammate activation post-close. The role also involves gathering customer feedback to shape the product and building scaled assets for the sales team. It requires understanding of AI LLMs and GPTs, and their business applications, with a focus on customer acquisition and revenue growth. | Agent | 5 |
| Group Tech Lead, Security Threat Operations & Response Management This role is for a Group Tech Lead in Security Threat Operations & Response Management at Asana. The primary focus is on defining and leading the technical strategy for a purple team function, integrating offensive and defensive security capabilities. Key responsibilities include adversary emulation, improving security maturity, managing the incident response lifecycle, vulnerability operations, process design, detection engineering, and leveraging AI/ML for enhanced threat detection and analysis. The role requires strong technical leadership, expertise in both red and blue team disciplines, and experience with security platforms and automation. | Agent | 5 |
| Staff Software Engineer, AI Staff Software Engineer on the AI Retrieval team at Asana, responsible for building and optimizing systems that power AI features through search and retrieval. The role focuses on improving latency, cost-efficiency, and quality of retrieval systems, expanding capabilities to new data sources, and contributing to ML-powered features like embeddings-based retrieval and semantic search. Experience with search engineering, OpenSearch/Elasticsearch, and ML approaches to search is required. | Agent | 5 |
| Competitive Intelligence Analyst This role involves building and maintaining AI-augmented workflows for competitive intelligence analysis. The analyst will operate and maintain an AI monitoring stack, execute AI-assisted teardowns of competitor releases, and build/document LLM-assisted research workflows, including prompt engineering and pipeline maintenance. The goal is to provide strategic insights that drive product strategy and roadmap decisions. | Agent | 5 |
| Staff Software Engineer, API Staff Software Engineer, API role at Asana, focusing on driving technical vision and execution for the developer platform. This involves owning API gateways that enable data flow into and out of Asana, supporting public APIs for app/agent building, and enabling LLMs to take action. The role requires setting technical strategy, mentoring engineers, collaborating with Product, Design, Data Science, and User Research, and shaping API design guidelines. The engineer will develop across the stack using Scala, Javascript, and Typescript. | Agent | 5 |