Zeta Global

Zeta Global

Vice President (Identity) , Engineering

San Francisco, California, United States · Exec

Sponsorship not specified$400k-$500kDetected 154 days ago
Distributed SystemsDynamoDBBigQuerySnowflakeRedshiftSparkAirflowData EngineeringComplianceEHR/EMRLeadershipCommunication

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odds of building a lasting career here

39Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This is a highly strategic and technical leadership role requiring deep domain expertise in identity management, strong organizational leadership, and the ability to operate at both architectural and executive levels.
  • You will directly report to the EVP & Head of Engineering.

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.
  • 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.
  • As the Head of Identity & Data Platform, you will own and evolve one of the most critical layers of Zeta's platform-the systems that power identity resolution, data ingestion, enrichment, and activation.
  • We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work.

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
  • Possess experience working on data technologies equivalent to:
  • Unlimited PTO

Skills

  • 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
  • Zeta Global (NYSE:
  • Steinberg and John Sculley and is headquartered in New York City with offices around the world.
  • To learn more, go to www.zetaglobal.com.

Compensation

  • The compensation range for this role is $400,000 - $500,000.00, depending on location and experience.

Benefits

  • Excellent medical, dental, and vision coverage
  • Employee Equity
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
  • Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin
  • Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/

Company info

  • Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.
  • Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI.
  • Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs.
  • Zeta was founded in 2007 by David A.
  • You will lead a 50-60+ person engineering organization and define the long-term strategy for how identity and data power AI-native applications across the company.

This listing is sourced directly from Zeta Global's careers page and normalized into a canonical job model.