Technical Product Manager

• Define and own the product vision and roadmap for Kafka/Data Engineering capabilities; translate business needs into technical requirements and prioritized backlogs; ensure clear acceptance criteria and measurable KPIs
• Collaborate with Data, Analytics, Marketing, and Product teams to define event models, SLAs, and integration needs; align stakeholders on priorities, trade-offs, and delivery timelines
• Shape the architecture and evolution of Kafka-based pipelines (topics, partitions, retention, compaction, Connect/Debezium, Streams/ksqlDB); partner with engineers to ensure scalable, secure, and cost-efficient solutions
• Drive schema governance (Avro/Protobuf), data quality enforcement, and regulatory compliance (GDPR/CCPA, PII handling); ensure monitoring, observability, and incident management practices are in place
• Own backlog grooming, sprint planning, and delivery tracking; ensure throughput, latency, and consumer lag targets are met; manage risks, dependencies, and SLAs
• Continuously evaluate and introduce improvements in reliability, cost-efficiency, and latency reduction; assess new tools, frameworks, and best practices in data streaming and event-driven systems

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