Greenhouse ·
full-timeDirector Of Engineering, AI Agents
Asana · San Francisco
Asana is a SaaS provider of work‑management tools that helps teams organize, track and manage projects. The Director of Engineering, AI Agents will head the AI Teammates Pillar within Asana’s Core/AI organization, overseeing four teams that build the platform, user experience, chat interface and agent orchestration layers. Day‑to‑day responsibilities include defining technical strategy for large‑language‑model rollouts, evaluation infrastructure, and the Model Context Protocol, guiding architecture of enterprise‑grade AI services, and shaping product features such as full‑screen chat, onboarding flows, explainability and governance controls. The role also involves scaling the engineering organization by hiring and mentoring managers and senior engineers, coordinating with product, design, security and legal, and maintaining partnerships with external AI labs. Ideal candidates have at least eight years of software engineering experience, four years of leadership over multiple teams, deep knowledge of applied AI, LLM evaluation and agent orchestration, and a track record of delivering complex, reliable systems for enterprise customers. Strong communication, strategic decision‑making and a commitment to inclusive team culture are essential.
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. What you’ll achieve 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). About you 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. 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. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $306,000 - $360,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and
| Role | Director Of Engineering, AI Agents |
|---|---|
| Company | Asana |
| Location | San Francisco |
| Compensation | Not disclosed |
| Posted | 2026-09-29 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Asana
Asana is an operating system designed for human-agent teams to manage critical workflows. Founded in 2008, the platform utilizes the Asana Work Graph, a system that connects tasks, projects, goals, and dependencies to provide a shared context for both human users and AI agents. The software enables teams to collaborate within a shared space, utilizing shared memory to improve workflows over time while maintaining enterprise-grade governance, including audit trails and scoped permissions. Asana serves a wide range of organizations, including 85% of Fortune 100 companies, by providing tools for project management, compliance, portfolio monitoring, and cross-functional alignment. The platform is designed to help teams coordinate work, reduce time spent on status updates, and integrate AI agents directly into existing business processes.
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