Tech Lead, AI Teammates

Asana·San Franciscosenior

In short

→Liderar el desarrollo de una plataforma de IA autónoma para flujos empresariales en Asana.
→Construir sistemas confiables, escalables y de alta disponibilidad que permitan a agentes de IA actuar de forma proactiva y autónoma.
→Destacar por liderar la estrategia técnica en un entorno de IA aplicada con integraciones con modelos de frontera como OpenAI y Anthropic.

Proficiency in English required for collaboration across global teams.

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What they ask for

✓6+ años de experiencia en ingeniería de software en grandes códigos.
✓2+ años liderando equipos o como lead técnico con historial de estrategia técnica.
✓Experiencia o profundo interés en sistemas agentes, orquestación de herramientas y evaluación de modelos.
✓Capacidad para tomar decisiones técnicas en entornos complejos y de alta presión.
✓Habilidades de colaboración con equipos de producto, diseño y ciencia de datos.
✓Interés en mantenimiento a largo plazo, escalabilidad y confiabilidad de sistemas.

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PythonGoPostgreSQLRedisKubernetesDockerAWSOpenAIAnthropicML observability tools

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AI Teammates are Asana’s flagship AI innovation - autonomous agents embedded directly into enterprise workflows that reason, act, and proactively drive work forward. The AI Teammates Platform (AITP) team owns the execution engine and platform layer that makes these AI Teammates effective, reliable, and scalable. We build the core systems behind agentic execution: model evaluation and rollouts, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and the platform APIs that power AI across all of Asana engineering. Rather than building a monolithic feature, we build a composable foundation. If a Teammate reasons, acts, or autonomously improves - that’s us. We’re looking for an experienced Technical Lead to drive the technical strategy, architecture, and execution for the AI Teammates Platform. You will bridge the gap between frontier AI capability and enterprise-grade software engineering, operating in close partnership with frontier model providers while building systems that scale to millions of users. If you are passionate about applied AI, agentic orchestration, high-reliability backend systems, and growing high-performing engineering teams, we’d love to hear from you! 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 • Set the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs within Asana, advocating for engineering-driven investments with a vision for keeping our systems flexible, reliable, and maintainable to meet customer needs now and in the future • Drive the team to continually and holistically better itself, setting high standards for clean architecture, systems reliability, and evaluation methodologies while enabling the engineers around you to deliver at high velocity and grow their skills • Be a key collaborator with other groups across Engineering and a technical counterpart to the AI Teammates team’s Engineering Manager, serving as a partner to external model providers (OpenAI, Anthropic) and representing our platform capabilities across team boundaries • Partner with Product Management, Design, Data Science, and User Research to deeply understand agentic work patterns, and propose elegant solutions to make AI Teammates effective and trustworthy • Architect and own the composable platform foundation, partnering with product engineering teams to enable them to build agentic capabilities into their domains in a self-serve manner • Oversee the execution of high-impact technical initiatives—from advanced proactivity and MCP integrations to model evals, latency tuning, and cost optimization—ensuring our systems scale safely with frontier LLM updates About You • 6+ years of software engineering experience working in large codebases, with strong backend, systems, or reliability fundamentals. • 2+ years leading engineering teams or serving as a technical lead, with a track record of driving technical strategy, timeline planning, and risk mitigation. • Experience or deep interest in Applied AI / Agentic Systems: Familiarity with agent orchestration, tool integration, model evaluation frameworks, RAG, or production LLM observability. • Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles <li

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