Director of Engineering, AI Agents

Asana · San Franciscolead

En corto

▸Liderar el equipo clave de IA en Asana, enfocado en agentes de IA colaborativos para clientes empresariales.
▸Dirigir cuatro equipos técnicos: plataforma, experiencia de chat, experiencia de IA y orquestación de agentes.
▸Destacar por construir sistemas de IA confiables y escalables que operen en entornos empresariales con alta complejidad.

Fluent English required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓8+ años de experiencia en ingeniería de software
✓4+ años liderando múltiples equipos técnicos
✓Experiencia comprobada en sistemas de IA aplicada y agentes
✓Conocimiento profundo en orquestación de agentes y protocolo MCP
✓Habilidades en gestión de equipos y liderazgo técnico
✓Capacidad para tomar decisiones estratégicas con equilibrio entre negocio, producto y tecnología

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

LLMModel Context Protocol (MCP)Agent OrchestrationTool OrchestrationProactivity EnginesEval InfrastructureFull-Stack Product InterfacesEnterprise GovernancePermissions ModelsProduction Observability

¿A quién escribirle en Asana?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 c

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