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Software Engineer Intern - Intelligence & Forecasting

San Francisco, CA

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

The team is working on integrating functionality for Athena to support recommendations and guidance directly in the ZMP. An intern fits within the team's scope by being able to focus on data integration and freeing full-time engineers to handle more complex issues. The project in mind additionally provides strong learning value (databases, AI-assisted analysis, QA, monitoring) and leaves behind durable production assets (pipeline, services, UI integration, documentation).

Summer 2026 Internship Information

  • Real-world, hands-on experience in the marketing technology industry (85% of work in internship role and 15% of internship with professional development/webinars/activities)
  • Hybrid in our San Francisco office (Tuesday, Wednesday, Thursday in office)
  • June 14th through August 28th
  • $23.00/hour 
  • Full-time - 40 hours per week
  • Weekly lunches and social gatherings in office
  • Speaker Series with subject matter experts across Zeta Global

Key Duties & Responsibilities 

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Comfortable working with data: experience writing queries in SQL (or similar) and doing data cleaning / analysis in Python.
  • Basic software engineering skills: exposure to writing, testing, and debugging code; familiarity with version control (e.g. Git) and collaborative development workflows.
  • Analytical mindset: ability to reason about metrics, trends, and experiment results, and to distinguish signal from noise in performance data.
  • Interest in AI/ML–driven products: some exposure to using machine learning or LLMs in projects (coursework, personal projects, or previous internships).
  • Clear communication skills: able to explain technical work in simple terms to non-technical stakeholders (e.g. marketers or account managers) and to write clear documentation.
  • Collaborative and self-directed: comfortable asking questions, working with remote supervision, and making progress on a scoped project with guidance but not constant oversight.
  • Integrate a new marketing performance dataset into the account recommendation system, including defining data contracts and building reliable ingestion with basic quality checks and fallbacks.
  • Develop account-level metrics and opportunity scores that surface the top five opportunities per account, with a clear indication of confidence in each recommendation.
  • Implement and maintain backend services that expose these insights for both bulk and per-account use cases, ensuring endpoints are robust, idempotent, and monitored.
  • Connect the new insights into the existing UI and participate in user testing with marketers and account managers, refining how opportunities are presented.
  • Create clear documentation and run books for data flows, services, and operational procedures, collaborating with the supervising engineer and teammates through regular check-ins and code reviews.

Qualifications

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Comfortable working with data: experience writing queries in SQL (or similar) and doing data cleaning / analysis in Python.
  • Basic software engineering skills: exposure to writing, testing, and debugging code; familiarity with version control (e.g. Git) and collaborative development workflows.
  • Analytical mindset: ability to reason about metrics, trends, and experiment results, and to distinguish signal from noise in performance data.
  • Interest in AI/ML–driven products: some exposure to using machine learning or LLMs in projects (coursework, personal projects, or previous internships).
  • Clear communication skills: able to explain technical work in simple terms to non-technical stakeholders (e.g. marketers or account managers) and to write clear documentation.
  • Collaborative and self-directed: comfortable asking questions, working with remote supervision, and making progress on a scoped project with guidance but not constant oversight.

PEOPLE & CULTURE AT ZETA

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; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re 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:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

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