Product Manager, Stream & Batch Processing in Data Infrastructure

Job description

Meta’s products depend on data pipelines that process large-scale batch and real-time workloads. Today, those workloads span two ecosystems. Our streaming stack includes XStream and a growing managed Apache Flink footprint. Our batch stack includes Spark and Presto over Hive and Iceberg tables, Velox as a shared execution layer, and an internal workflow authoring and scheduling platform. These systems evolved separately. As a result, engineers encounter different authoring models, operational practices, guarantees, and migration paths depending on the workload they are building. We are looking for a senior individual-contributor PM to set the product direction across this portfolio. The immediate focus is to define a coherent customer experience across batch and streaming, align the long-term platform strategy, and help teams move from legacy systems safely. You will work closely with engineering leaders across multiple organizations. Success will require technical judgment, a strong understanding of internal customers, and the ability to turn a cross-organizational strategy into measurable adoption and operational improvements.