Software Engineer, AI Developer Experience

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.

About you
3+ years of working in large codebases
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 and leverage them to enhance productivity, collaboration, or decision-making.