• Lead the creation of technical approach documents that define architecture, system interactions, trade-offs, and execution plans. • Be a fluent adopter of AI tools, actively using AI coding assistants and emerging tooling to accelerate development, raise quality, and continuously rethink how engineering work gets done. • Partner early in product discovery with Product, Design, and engineering leaders to clarify goals, evaluate options, and recommend a technical approach. • Take ownership of front-end initiatives across web (component architecture, state strategy, performance considerations, help define API contracts). • Spread across the stack to build and maintain features in our React Native mobile app, improving cross-platform consistency between React web and React Native mobile. • Strengthen testing practices and uphold security standards across web and mobile surfaces, including secure data handling, authentication flows, and sensitive financial information. • Contribute to release reliability across surfaces (build tooling, versioning, CI/CD, and—on mobile—TestFlight and store submission flows). • Guide teams through execution of agreed-upon approaches, ensuring work is delivered with high quality, precision, and in a timely manner. • Bring forward strong architectural ideas, evaluate trade-offs, and influence system direction. • Provide technical leadership and mentorship to mid-level and senior engineers. • Identify and drive improvements to system stability, performance, developer experience, and engineering practices.

• Work on search infrastructure engineering projects to improve search experience, in collaboration with product teams. • Up-level search system reliability, scalability and performance, in collaboration with Infrastructure teams. • Use the data in the Knowledge Graph to power rich product use-cases and also enrich the existing data based on measurement. • Build the next generation search platform to power different products at Airbnb, including typeahead, contextualizing and personalizing search results.

• Build and maintain internal engineering tooling that improves builder flow and reduces friction across the company. • Provide guidance, best practices, and automation to support adoption of AI agentic coding tools. • Develop and operate internally facing agents. • Implement and improve developer workflows, including guardrails, evaluation approaches, and guidance that enables safe adoption of new tooling. • Own development and operation of our internal agent platform. • Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes. • Build measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact and guide iteration. • Own documentation and enablement materials that help builders succeed using the paved roads. • Participate in on-call to support internal users.

• Lead the design, build, and evolution of internal engineering tooling that improves builder flow and reduces friction across the company. • Define best practices and drive adoption of AI agentic coding tools through guidance, automation, and hands-on enablement. • Architect, develop, and operate internally facing agents that scale across teams and use cases. • Own and continuously improve developer workflows, including guardrails, evaluation frameworks, and guidance that enables safe and effective adoption of new tooling. • Own the strategy, development, and operation of our internal agent platform, setting direction and ensuring reliability and scalability. • Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. • Establish and drive measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact, inform prioritization, and guide iteration. • Create and maintain clear documentation, playbooks, and enablement materials, and proactively drive adoption of paved roads across the organization. • Mentor and support engineers on the team, raising the bar on technical design, execution, and use of AI-enabled tooling. • Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience.