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Zeta Global

AI-driven marketing platform for enterprises

Director of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of software engineering experience, including significant experience leading large-scale data systems and teams.
  • Deep domain expertise in batch and real-time data processing systems.
  • Understanding of the applicability, pros and cons, and effectiveness of data engineering design patterns and concepts, including Data Lakehouse, Data Table Format, Zero-Copy Data Sharing, Cleanroom, real-time versus batch data processing, and high-throughput distributed system APIs.
  • Experience with data technologies equivalent to Snowflake, Redshift, BigQuery, Iceberg, Hudi, Delta, EMR, Airflow, Spark, Aerospike, Scylla, and DynamoDB.
  • Strong understanding of cloud data architectures, including AWS and Snowflake.
  • Track record of innovation and driving measurable outcomes, including AI-driven or data-driven product capabilities.
  • Strong communication skills.

Responsibilities

  • Own the Third-Party Audiences product from an engineering, architecture, and technology perspective; guide the team in delivering immediate roadmap work and collaborate with product and business stakeholders to shape the product.
  • Lead the Prospect Audiences team of approximately 10 engineers, fostering innovation, collaboration, and operational excellence.
  • Guide the team to deliver roadmap work on time and at high quality while following organizational processes and guidelines.
  • Collaborate with product and business teams to shape the team's future and long-range roadmap.
  • Collaborate with DevEx and AI Enablement teams to drive adoption of AI-native software development lifecycle practices in the agentic software development paradigm, as applicable to the team's technologies.
  • Partner with architects to build data ingestion and processing architecture and pursue improved customer outcomes through technological innovation.
  • Recruit, mentor, and develop talent within the team and the broader data layer.
  • Own systems end to end, including production deployments, monitoring, distributed tracing, defining service-level objectives and alerting thresholds, and managing on-call support for production incidents.
  • Monitor system costs, participate in cost-optimization initiatives, and execute cost-optimization projects.
  • Ensure reliable, testable pipelines and datasets, including quality checks, lineage and observability for critical tables, and clear contracts or service-level agreements between data producers and downstream consumers, including incident handling.

About the Company

Zeta Global

AI-driven marketing platform for enterprises

Zeta Global provides AI-driven marketing technology for enterprises to acquire customers, retain them longer, and grow their value. Its Zeta Marketing Platform offers a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale, pulling in behavioral signals and purchase intents to generate intent and churn signals for millions of identities for cross-channel campaigns. It differentiates itself through real-time data, a large identity graph, multi-channel orchestration, and deterministic attribution that drive measurable marketing outcomes. The goal is to help brands optimize acquisition and retention to maximize lifetime value by delivering precise, data-driven marketing at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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