Lead and grow a team building large-scale web and image indexing infrastructure Own architecture and execution for both offline batch pipelines and near-real-time indexing systems Drive improvements in freshness, throughput, scalability, reliability, and efficiency Enable rapid experimentation for search quality and ML teams introducing new signals Build strong cross-team partnerships (crawling, ranking, ML, storage, serving) and align on architecture and delivery milestones Represent the indexing org in leadership reviews, communicating strategy, progress, and tradeoffs Recruit and develop engineers, fostering a culture of ownership and technical excellenceSignificant experience building large-scale distributed systems or data infrastructure Engineering management experience leading software teams Strong grasp of distributed systems, large-scale data processing, and storage Experience with distributed batch processing (e.g., MapReduce-style models) Track record leading multi-team technical initiatives and influencing without direct authority Strong communication skills for technical topics with senior leadership BS in CS or related field, or equivalent experienceExperience with batch/streaming frameworks (Spark, Beam, Flink, Kafka, etc.) Experience with distributed storage systems (Bigtable, HBase, Cassandra) Background in search, information retrieval, or large-scale content processing Experience with image processing, computer vision, or multimodal systems Experience optimizing distributed systems for cost, latency, and throughput Experience driving cross-org programs and presenting strategy to executive leadership Track record developing senior engineers into technical leadership roles. You'll own both technical direction and execution for two core systems: large-scale offline indexing (distributed pipelines processing petabytes of content into production indexes) and fresh/near-real-time indexing (low-latency propagation of new or updated content).