Senior Software Engineer, AI Developer Experience
$202k - $230kAsana
We're looking for a Senior 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 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.
- 5+ 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.
- Mental health, wellness & fitness benefits
- Career coaching & support
- Inclusive family building benefits
- Long-term savings or retirement plans
- In-office culinary options to cater to your dietary preferences
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