About the company
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation.
Responsibilities
- 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.
Requirements
- 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 and leverage them to enhance productivity, collaboration, or decision-making.
Conditions
- Estimated base salary range is between $248,000 - $282,000
- Additional components such as equity, sales incentive pay, and benefits
- Mental health, wellness & fitness benefits
- Career coaching & support
- Inclusive family building benefits
- Long-term savings or retirement plans
- In-office culinary options