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The role involves managing key client accounts, driving new business, guiding commerce media strategies, and collaborating cross-functionally to enhance client outcomes.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

Lead AI and data initiatives, define strategy for data management, oversee evaluation frameworks, and align engineering and product teams for successful delivery.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

Design and build scalable batch and streaming data pipelines, optimize ETL/ELT workflows and SQL workloads, manage ClickHouse clusters and large analytical databases, build ingestion from MongoDB/Postgres/Kafka/APIs, and implement monitoring and anomaly detection while partnering with Product, Analytics, and Backend teams.

Responsible for managing HR initiatives, ensuring compliance, overseeing talent acquisition, and developing employee performance systems while fostering a positive work culture.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.