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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.

Auto-generated from active job postings · last refreshed 2026-08-02

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).

Hiring
10 / 18
Momentum (4w)
↑+1 +2%
57 opens last 4w · 56 prior 4w
Salary range · avg $241k
$171k–$470k
USD · disclosed roles only
Tracked since
Dec '25
last role 5d ago
Hiring velocityscroll left for older weeks
1 new role
Oct 30
1 new role
Feb 12
1 new role
26
2 new roles
Mar 18
1 new role
Apr 8
1 new role
May 13
1 new role
Aug 12
1 new role
19
1 new role
26
1 new role
Oct 21
1 new role
Nov 25
1 new role
Feb 10
1 new role
Mar 24
1 new role
Apr 7
1 new role
14
1 new role
21
1 new role
28
1 new role
May 12
1 new role
26
1 new role
Jun 9
2 new roles
Jul 7
1 new role
28
3 new roles
Aug 11
2 new roles
25
1 new role
Sep 1
2 new roles
29
2 new roles
Oct 20
4 new roles
27
1 new role
Nov 3
1 new role
10
2 new roles
Dec 1
1 new role
8
2 new roles
15
4 new roles
22
5 new roles
Jan 5
2 new roles
12
4 new roles
19
2 new roles
26
4 new roles
Feb 2
4 new roles
9
5 new roles
16
3 new roles
23
10 new roles
Mar 2
4 new roles
9
10 new roles
16
2 new roles
23
7 new roles
30
6 new roles
Apr 6
1 new role
13
11 new roles
20
8 new roles
27
16 new roles
May 4
7 new roles
11
17 new roles
18
20 new roles
25
17 new roles
Jun 1
15 new roles
8
12 new roles
15
14 new roles
22
16 new roles
29
14 new roles
Jul 6
15 new roles
13
21 new roles
20
10 new roles
27
11 new roles
Aug 3

Frequently asked questions

  • What AI roles is Asana hiring for?

    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.

  • What stage of AI development does Asana focus on?

    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.

  • Where is Asana hiring AI talent?

    Asana is hiring AI talent in: United States (11 roles), Poland (5 roles), Canada (2 roles).

  • What skills does Asana look for in AI roles?

    Job postings at Asana most frequently mention: AI Coding Agents, Agentic Systems, API Design & Development, Orchestration, Networking.

  • How many AI roles has Asana posted recently?

    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).

Jobs (15)

12 AI · 145 total active
FilteredFunctionEngineering×
Show
Active onlyAI only (≥ 7)
Stage
AllServe · 1Agent · 18Ship · 1
Function
AllEngineering · 15Product · 5
Country
AllUnited States · 12Canada · 5Poland · 3
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Director of Engineering, AI Platform
Director of Engineering to lead an AI Platform organization responsible for foundational systems powering AI experiences. This includes teams focused on context (search, retrieval, knowledge extraction), LLM foundations (model serving, inference, provider strategy, evaluation), and AI efficiency (cost, quality, performance). The role drives strategy, execution, and architecture for agentic enterprise software, aiming for a reliable, economical, and performant platform.
ServeAgentEngineeringSan Francisco, CA5d ago8
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 GateEngineeringNew York, NY2w ago8
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.
AgentEngineeringSan Francisco, CAApr 68
Senior Engineering Manager, AI Agents
Engineering Manager for the Agent Orchestration team, responsible for building the integrations and agent skills that allow Asana AI Teammates to operate across enterprise tools and workflows. The role involves leading a senior engineering team, setting technical direction, and partnering with cross-functional teams to deliver enterprise-grade AI agent capabilities.
AgentEngineeringVancouver, BCMar 118
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.
AgentEngineeringNew York, NY3w ago7
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.
AgentServeEngineeringNew York, NY8w ago7
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.
AgentEngineeringNew York, NYJun 87
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.
AgentEngineeringNew York, NYJun 57
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.
AgentServeEngineeringWarsaw, PolandJun 37
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 GateEngineeringVancouver, BCMay 297
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 GateEngineeringVancouver, BCMay 77
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.
AgentEngineeringVancouver, BCApr 287
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).
AgentServeEngineeringWarsaw, PolandApr 217
Head of Engineering, Core Product & Collaborative Work Management
Engineering leader to own and scale foundational experiences of Asana's Core product, reimagining the core experience through AI-native workflows. Responsible for building systems that enable seamless collaboration at scale, leveraging AI to reduce "work about work" and accelerate human productivity. Owns technical strategy for central work management features, optimizing architecture for LLM-powered features, real-time data processing, and predictive work patterns. Builds "AI-first" platform capabilities powering intelligent agents, automated status reporting, and smart resource allocation. Drives engineering excellence in AI implementation, establishing best practices for prompt engineering, model integration, and data privacy. Grows engineering leaders toward generative and agentic product architectures. Represents Asana’s intelligent CWM capabilities to strategic customers.
AgentServeEngineeringNew York, NYMar 167
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 for LLM context windows and traditional search. The role involves reducing latency and cost, improving relevance, expanding capabilities, and contributing to ML-powered features like embeddings-based retrieval and semantic search.
AgentServeEngineeringWarsaw, PolandMar 47