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Salary: USD 248,000 - 282,000 / annual
Asana is seeking an experienced Staff Software Engineer to lead the technical strategy and architecture of the AI Teammates Platform (AITP), the company's flagship AI innovation. AI Teammates are autonomous agents embedded directly into enterprise workflows that reason, act, and proactively drive work forward.
The AITP team owns the execution engine and platform layer that makes these AI Teammates effective, reliable, and scalable. Rather than building monolithic features, the team builds a composable foundation that powers agentic execution across Asana. Core responsibilities include model evaluation and rollouts, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and platform APIs.
In this role, you will:
- Set the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs, advocating for engineering-driven investments while maintaining flexible, reliable, and maintainable systems
- Drive the team to establish high standards for clean architecture, systems reliability, and evaluation methodologies while enabling engineers to deliver at high velocity and grow their skills
- Serve as a key technical collaborator across Engineering, partnering with external model providers (OpenAI, Anthropic) and representing platform capabilities across team boundaries
- Partner with Product Management, Design, Data Science, and User Research to understand agentic work patterns and propose solutions to make AI Teammates effective and trustworthy
- Architect and own the composable platform foundation, enabling product engineering teams to build agentic capabilities in a self-serve manner
- Oversee execution of high-impact technical initiatives including advanced proactivity, MCP integrations, model evaluations, latency tuning, and cost optimization
The role is based in San Francisco with an office-centric hybrid schedule: standard in-office days are Monday, Tuesday, and Thursday. Most employees have the option to work from home on Wednesdays, with Friday flexibility depending on work type and team partnerships.
REQUIREMENTS:
- 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 comfortable transitioning between different contexts and codebases
- Deep project management experience including high-level timeline planning, risk mitigation, stakeholder management, and coordinating the work of others
- Passion for mentoring engineers at all skill levels; ability to identify technical growth opportunities and deliver thoughtful, candid feedback
- Commitment to fostering an inclusive culture with psychological safety
