Staff Software Engineer (AI Teammates)

Join Asana as a Staff Software Engineer (AI Teammates) and be a part of our flagship AI innovation. You will drive the technical strategy, architecture, and execution for the AI Teammates Platform, bridging the gap between frontier AI capability and enterprise-grade software engineering. You will set the technical strategy for the execution engine, tool orchestration, and platform APIs, and oversee the execution of high-impact technical initiatives. This role offers comprehensive health benefits, development opportunities, and a focus on career growth.

- Set the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs within Asana, advocating for engineering-driven investments. - Drive the team to continually and holistically better itself, setting high standards for clean architecture, systems reliability, and evaluation methodologies. - 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.

- 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! - Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others - Passionate about mentoring engineers at all skill levels; able to identify technical growth opportunities and deliver thoughtful, candid feedback - Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive, fostering an environment of psychological safety within your team - 2+ years leading engineering teams or serving as a technical lead, with a track record of driving technical strategy, timeline planning, and risk mitigation - 6+ years of software engineering experience working in large codebases, with strong backend, systems, or reliability fundamentals - Quick learner and comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles - Experience or deep interest in Applied AI / Agentic Systems: Familiarity with agent orchestration, tool integration, model evaluation frameworks, RAG, or production LLM observability