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AsanaSan Francisco, California, United States
Director of Engineering (AI Agents)
On-siteFull Time$306k - $360k per yearPosted 13 days ago
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
- 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
- Drive Strategy & Execution Across the AI Teammates Pillar: Lead, set direction, and align goals/metrics across four core engineering teams (Platform, Experience, Chat, and Agent Orchestration) to execute on Asana’s flagship AI vision while balancing business, customer, and technical needs
- Architect Enterprise-Grade AI Platforms & Systems: Own the end-to-end technical strategy across model rollouts, eval infrastructure, tool orchestration, Model Context Protocol (MCP), and proactivity engines—enabling Asana to operate reliable agentic systems for top-tier enterprise customers
- Define Next-Generation Human-AI Collaboration: Lead product and platform engineering teams delivering full-screen and docked chat surfaces, discovery/onboarding flows, in-product explainability, human-in-the-loop workflows, and ROI/governance experiences for administrators
- Pioneer Multi-System Agent Orchestration: Build integrations, Agent Skills, and MCP frameworks that allow AI Teammates to act as the central control point for complex, multi-step workflows across external tools like Slack, Salesforce, coding agents, and internal systems
- Scale Engineering Leadership & Culture: Plan and implement the scaling of your engineering organization. Recruit, close, and retain top engineering talent and managers, develop leadership capabilities across teams, and foster an inclusive environment centered on engineering excellence and psychological safety
- Bridge Cross-Functional & External Strategic Alignment: Align technical, product, and business perspectives across R&D, Product, Design, Security, and Legal, while maintaining close strategic partnerships with frontier AI labs (e.g., OpenAI, Anthropic) Benefits
- Benefits
- From comprehensive health benefits including mental health programs and coaching to our in-house culinary program and supportive parental leave policies, our benefits are intentionally designed to ensure that you are energized, focused, and thriving
- Development: We know that growth isn’t always linear, so we’ll support you in achieving your personal and professional goals. You’ll have the opportunity to take on big responsibilities that impact our success as a company and challenge you in new and fulfilling ways.
- Career growth: Your growth at Asana centers on ownership, access, and choice. All employees can tap into resources that support their growth and their team’s growth in the way that works best for their unique needs.
- Exceptional Communication: Strong capability to bridge business, product, and technical contexts to align executive stakeholders, internal engineering partners, and enterprise clients
- 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
- AI & Agentic Systems Expertise: Deep understanding of applied AI, LLM evaluation frameworks, agent/tool orchestration, Model Context Protocol (MCP), proactivity models, and production observability
- Proven Leadership Experience: 8+ years of software engineering experience with 4+ years leading multiple engineering teams or managers, with a track record of driving multi-team strategy and delivering complex production systems