Experience with vector search technologies (e.g., Pinecone, Milvus) and storing/serving embeddings (e.g., pgvector, Milvus, FAISS) Excellent written and verbal communication; proven ability to align engineers, partner teams, and senior leadership from multiple lines of business around a shared technical direction, with experience bringing a consumer-oriented product from inception to production. Familiarity with LLM/model-serving infrastructure trade-offs (inference runtimes, GPU-backed serving) to inform architectural decisions Streaming expertise: deep, hands-on knowledge of Apache Kafka (or comparable brokers like Kinesis) and complex stream processing (Spark Structured Streaming, Flink, or similar).