AI-native engineering: Champion responsible use of AI across the SDLC, improve team productivity with AI tools, and ensure accountability for AI-generated artifacts. Raise engineering quality and reliability: Lead code reviews, debugging, incident retrospectives, telemetry practices, and continuous improvements in code quality, testability, security, and maintainability. Architecture and cross-team design: Guide complex system design, evaluate technology choices, manage dependencies, and ensure solutions meet scalability, reliability, performance, cost, and compliance requirements. Delivery andlive-site health: Drive project execution, safe deployments, observability, incident response, customer-focused decision making Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years of experience working training/evaluating search/information retrieval systems as Product Manager, Software Developer, or Data Scientist Experience with search, retrieval, ranking or recommendation systems, or large language model (LLM)-powered experiences. Solid technical depth, including comfort with system architecture and APIs, and the ability to engage closely with engineering and data science. A track record of shipping complex, cross-team products or features at scale, from early concept to general availability.