Work management software for teams and AI agents. Plan, automate, and execute critical workflows together. Backed by a16z and Founders Fund.
About the role
We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration.
What they're looking for
- AI & Agentic Systems Expertise: Deep understanding of applied AI, LLM evaluation frameworks, agent/tool orchestration, Model Context Protocol (MCP), proactivity models, and production observability
- Systems & Product Engineering Mastery: Experience spanning backend/systems reliability, complex full-stack product interfaces, and enterprise governance/permissions models operating at scale
- Strategic Trade-off & Risk Management: Proven ability to balance short-term customer deliverables with long-term architectural investments and navigate ambiguity over multiple quarters
- Excellence in People & Organizational Growth: Demonstrated commitment to attracting, hiring, and mentoring senior engineers and managers while championing diversity, equity, and inclusion
- Exceptional Communication: Strong capability to bridge business, product, and technical contexts to align executive stakeholders, internal engineering partners, and enterprise clients
More about this role
We’re looking for an experienced engineering leader to lead and scale Asana’s flagship AI Teammates Pillar within our Core/AI Organization. Reporting directly to the Head of Engineering, AI & AWM, you will oversee an engineering area encompassing four key teams: AI Teammates Platform (AITP), AI Teammates Experience (AITX), AI Chat Experience, and Agent Orchestration. In this role, you will lead engineering managers and senior technical leaders to drive the end-to-end strategy, execution, and architecture that define how humans and AI collaborate in Asana, turning frontier LLM capabilities into trusted, reliable, high-value product workflows for enterprise customers worldwide.
This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
- Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align...
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