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Vice President (Identity) , Engineering

2 weeks, 6 days ago
United States
Full-time
Executive
VP of Engineering
Software Development
Apache Airflow Apache Spark DynamoDB GCP Snowflake
Apply Now
Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007
View All Jobs 69

Description

  • Own and define the strategic roadmap for the Identity & Data Layer across ingest, resolve, enrich, and activate workflows.
  • Lead and inspire an engineering organization of approximately 50–60+ people.
  • Own the evolution of identity resolution and identity graph systems, including deterministic and probabilistic matching, cross-channel identity, and real-time enrichment.
  • Drive the data layer’s role as the context engine for Zeta’s AI-native platform, enabling real-time features, embeddings, and data access for models, agents, and downstream applications.
  • Collaborate cross-functionally with AI, marketing, product, DevEx, and AI Enablement teams to integrate identity services and improve engineering practices.
  • Ensure platform scalability, accuracy, latency, and reliability meet defined SLAs.
  • Ensure compliance with privacy and data governance standards such as CCPA and GDPR.
  • Recruit, mentor, and develop senior engineering talent and build succession plans for critical roles.
  • Partner with executive leadership on strategy, investment, prioritization, and long-term platform scalability.
  • Benchmark the platform against industry leaders and drive innovation ahead of the market.

Requirements

  • 12+ years of engineering leadership experience, including significant time leading large-scale identity or data platforms.
  • Deep domain expertise in identity resolution, identity graphs, and data enrichment.
  • Experience from a top competitor or parallel industry is preferred.
  • Understanding of data engineering design patterns and concepts, including data lakehouse, data table formats, zero-copy data sharing, cleanrooms, real-time vs. batch processing, and high-throughput distributed system APIs.
  • Experience with data technologies equivalent to Snowflake, Redshift, or BigQuery.
  • Experience with data technologies equivalent to Iceberg, Hudi, or Delta.
  • Experience with tools and systems equivalent to EMR, Airflow, or Spark.
  • Experience with systems equivalent to Aerospike, Scylla, or DynamoDB.
  • Proven experience managing 50+ person organizations, including directors and senior engineering managers.
  • Strong understanding of data governance, privacy, and compliance, including GDPR and CCPA.
  • Track record of innovation and measurable outcomes, including AI-driven or data-driven product capabilities.
  • Exceptional communication skills.

Benefits

  • Unlimited PTO.
  • Excellent medical, dental, and vision coverage.
  • Employee equity.
  • Employee discounts, virtual wellness classes, and pet insurance.
  • Salary range of $400,000 to $500,000 depending on location and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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