• Solve authorization-at-scale for the world's largest companies • Build and launch large, distributed systems in a team-centric environment • Mentor junior engineers • Manage competing priorities and bring order to ambiguous scenarios • Clearly & effectively communicate (written and verbal) across the organization and up to senior leadership • Value diverse perspectives and have a growth mindset

• help solve authorization-at-scale for the world's largest companies • build and launch large, distributed systems in a team-centric environment • manage competing priorities and bring order to ambiguous scenarios • mentor junior engineers • communicate clearly & effectively across the organization and up to senior leadership

• Design, build, and deliver high-quality features that drive customer and business impact • Collaborate cross-functionally with product and design to turn complex problems into elegant, user-focused solutions • Balance iteration speed with long-term maintainability and system health • Continuously improve our tech stack, developer workflows, and reliability practices • Contribute to a supportive, growth-oriented engineering culture based on trust, learning, and excellence

• Design, prototype, and test agentic workflows using platforms like Goose, Unify MCP, AWS Q, and Google Gemini. • Build and iterate on AI-powered agents that can autonomously interact with systems, APIs, and developer tools. • Translate product concepts into working demos and scalable pipeline implementations. • Collaborate cross-functionally with product managers, ML engineers, and DevOps teams to refine user workflows. • Optimize agent behavior for reasoning, autonomy, reliability, and safety. • Contribute to ML pipeline development for deploying and monitoring agentic flows in production environments. • Document architectures and share learnings across the engineering org.