Zeta Global - Vice President (Identity) , Engineering
Requirements
• 12+ years of engineering leadership, including significant time leading large-scale identity or data platforms. • Deep domain expertise in identity resolution, identity graphs, and data enrichment—preferably with experience from a top competitor or parallel industry. • Understand applicability, pros & cons & effectiveness of data engineering design patterns & concepts such as Data Lakehouse, Data Table Format, Zero-Copy Data Sharing, Cleanroom, Real-Time vs Batch Data Processing, High throughput distributed system APIs • Snowflake, Redshift, BigQuery • Iceberg, Hudi, Delta • EMR, Airflow, Spark • Aerospike, Scylla, DynamoDB • Proven experience managing 50+ person organizations, including directors and senior engineering managers. • Strong understanding of data governance, privacy, and compliance, including global standards such as GDPR and CCPA. • Track record of innovation and driving measurable outcomes, including AI-driven or data-driven product capabilities. • Exceptional communication skills
Responsibilities
• Own and define the strategic roadmap for the Identity & Data Layer, covering the full lifecycle (ingest → resolve → enrich → activate), with clear accountability for scalability, accuracy, latency, and reliability SLAs. • Lead and inspire a team of ~50 engineers, • Own the evolution of identity resolution and identity graph systems, advancing deterministic and probabilistic matching, cross-channel identity, and real-time enrichment as core competitive capabilities. • Drive the evolution • Collaborate cross-functionally with AI, marketing, and product teams to ensure seamless integration of identity services across Zeta’s platform. • Establish the data layer as the context engine for Zeta’s AI-native platform, enabling real-time features, embeddings, and data access for models, agents, and downstream applications. • Benchmark against industry leaders and innovate ahead of the market in identity solutions. • Ensure compliance with privacy and data governance standards (e.g., CCPA, GDPR). • Recruit, mentor, and develop top talent, while creating a strong succession plan for critical roles. • Partner with executive leadership on strategy, investment, and prioritization, aligning platform evolution with business outcomes and long-term scalability. • Collaborate with DevEx and AI Enablement teams to drive adoption of AI-native engineering practices across the data layer, improving developer productivity, code quality, and system evolution velocity.
Benefits
• Excellent medical, dental, and vision coverage • Employee Equity • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
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