We’re looking for a Staff Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you’ll set technical direction and build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents. This role is based in our New York City 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 Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence
Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work
Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work
Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent
Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review
Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement
Set technical direction for the team, balancing experimentation with reliability, maintainability, and long-term platform thinking
Partner cross-functionally with teams across the engineering organization to understand engineering needs, identify workflow friction, and scale high-impact solutions
About you 8+ years of software engineering experience, including 3+ years of experience leading complex technical projects across teams
Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation
Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based integrations, AI-powered code review systems, or agent skill/tool ecosystems
Experience building evaluation and quality frameworks for AI-generated outputs
Strong technical judgment and systems design skills, with the ability to make pragmatic tradeoffs in ambiguous or rapidly changing environments
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn