4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus.
Daily use of AI models/tools, with strong knowledge on the latest frontier.
Proficiency with Python, along with experience and/or TypeScript, Go, and other languages.
Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users.
Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.)
Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.