Software Engineer

This Senior Data Platform Engineer role builds and operates data infrastructure supporting Zeta's products, analytics, ML, and AI systems. Responsibilities include managing Lakehouse architecture, distributed compute, data quality, governance, and security, as well as developing tooling for data pipelines and operating Spark workloads on Hadoop clusters. Requires 7+ years of software engineering experience, strong Python/Scala/Java skills, and familiarity with AWS services and data platform technologies.

This Staff Software Engineer role at Snowflake focuses on building and scaling core infrastructure to support the agentic enterprise, leveraging AI-native approaches. The engineer will design and implement distributed systems, integrate AI capabilities, and drive technical innovation. Key responsibilities include architecting robust solutions, collaborating with cross-functional teams, and ensuring high performance and reliability.

Design, develop, and maintain complex software systems with advanced knowledge of multiple programming languages and system architectures.

Builds backend services, platform infrastructure, and AI capabilities for Snowflake's internal GTM AI platform. This role involves designing scalable distributed systems, developing APIs and orchestration services, and creating reusable AI components like agent frameworks and evaluation pipelines. The engineer will leverage Snowflake Cortex and Snowpark to build intelligent data applications and establish engineering best practices.

This Associate Customer Success Manager role at Zefr supports client relationships for the programmatic product, helping brands and agencies execute campaigns in DV360, Google Ads, and Facebook. The associate will provide strategic advice, analyze client data, and collaborate with internal teams to improve the product. Requires 1+ years of customer success or programmatic trading experience and understanding of Google Ads and DV360.

This Multilingual Data Annotation Specialist role at Zefr involves labeling video, image, and metadata content across social platforms like YouTube, TikTok, Meta, and Snap, with a focus on Spanish and English cultural fluency, plus a third language. The specialist will apply labeling frameworks, perform quality assurance, and help refine guidelines for machine learning training data. Requires fluency in Spanish and English, attention to detail, and comfort with sensitive content.

This Multilingual Data Annotation Specialist role at Zefr involves labeling video, image, and metadata content across social platforms like YouTube, TikTok, Meta, and Snap, with a focus on Hindi and English cultural fluency. The specialist will apply labeling frameworks, perform quality assurance, and help refine guidelines for machine learning training data. Requires fluency in Hindi and English, attention to detail, and comfort with sensitive content.