WHO WE ARE

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 industrys 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. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more go to .

Role Overview

Zeta Global is seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence activation measurement and reporting across both HCP and DTC workflows.

This is a hands-on technical leadership role operating at the intersection of distributed systems data engineering and healthcare domain constraints. You will design and deliver systems that integrate identity audience data and campaign performance while meeting strict requirements for privacy compliance and reliability.

The ideal candidate brings strong system design depth experience building data-intensive platforms and the ability to lead through architecture and execution in regulated environments.

What Youll Build

• Full-stack applications supporting HCP and patient (DTC) audience discovery segmentation and activation
  Scalable data pipelines for ingestion normalization and enrichment of healthcare datasets
  Identity resolution and data linkage services across fragmented data sources
  Reporting attribution and measurement systems connecting campaigns to outcomes
  APIs and services enabling downstream activation analytics and partner integrations

Key Responsibilities

• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
  Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
  Build and maintain APIs and services with strong SLAs observability and fault tolerance
  Implement identity resolution logic including matching deduplication and graph-based linkage
  Ensure high data quality through validation reconciliation and monitoring frameworks
  Design systems with strong security controls including encryption access control and auditability
  Apply privacy-by-design principles across all systems handling PHI/PII
  Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  Drive engineering best practices across testing CI/CD code quality and operational excellence
  Mentor engineers and act as a technical leader across the team

Engineering Expectations

• Strong experience designing distributed systems (microservices event-driven architectures)
  Deep understanding of data modeling storage systems (OLTP OLAP) and data processing frameworks
  Experience with streaming and batch processing (e.g. Kafka Spark Flink or similar)
  Proficiency in backend development (Python Java or Ruby) and API design (REST/gRPC)
  Experience building modern front-end applications (React or similar)
  Strong experience with cloud platforms (AWS GCP or Azure) and infrastructure-as-code
  Familiarity with containerization and orchestration (Docker Kubernetes)
  Experience implementing observability (logging metrics tracing) and reliability patterns
  Strong understanding of performance optimization and scalability tradeoffs

Healthcare & Domain Expectations

• Experience working with HCP data (provider identity targeting segmentation)
  Experience with patient / DTC data workflows and privacy-aware systems
  Understanding of healthcare data ecosystems (claims provider or audience datasets)
  Familiarity with identity graphs and data onboarding patterns
  Experience building reporting or attribution systems tied to business outcomes
  Strong grasp of HIPAA PHI/PII and regulated data handling requirements

Qualifications

• 810 years of software engineering experience with increasing technical ownership
  Proven track record of building and scaling data-intensive or distributed systems
  Experience working in regulated environments (healthcare strongly preferred)
  Strong system design and architecture skills
  Ability to lead technically while remaining hands-on in implementation
  Strong collaboration skills across engineering product and data teams

Preferred

• Experience with healthcare data providers or identity ecosystems
  Background in AdTech MarTech or audience/data platforms
  Experience with privacy-enhancing technologies (tokenization clean rooms)
  Exposure to ML/AI-driven data products or analytics systems

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical dental and vision coverage
• Employee Equity
• Employee Discounts Virtual Wellness Classes and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200000 - $215000depending on location and experience.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individuals sex race color religion age disability status as a veteran or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation gender identity or expression.

Were committed to building a workplace culture of trust and belonging so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate support and advocate for one another. Learn more about our commitment to diversity equity and inclusion here: IN THE NEWS!

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