Staff Software Engineer (AI Teammates)

• 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 Staff Software Engineer 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
• 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

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.

• 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