Staff Software Engineer, Forecasting

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 .

THE ROLE

We are hiring ahands-onStaff Software Engineerto provide technical leadership for ourForecasting and Recommendationsplatforms with a strong focus onproduction-grade AI and agentic systems.

This role centers on designing building and operatinghigh-throughput low-latency distributed systemsthat power forecasting recommendations and AI-driven decisioning at scale. You will work deeply in backend systems infrastructure and AI application architecture whileremainingaccountable for reliability observability and operational excellence.

We are looking for an engineer who cancontributeimmediately has shouldered real production incidents and brings strong judgment around buildingstable observable and scalable systems including modernagentic and LLM-powered applications.

WHAT YOULL DO

• Design build and operate systems supporting forecasting recommendations and agentic AI workflows in production.

• Write production-quality code daily; own services end-to-end from design through on-call and incident resolution.

• Architectlow-latency high-throughput SaaS servicesincluding APIs data pipelines model inference and agent orchestration.

• Build andmaintainproduction-grade agentic applications including tool-using agents workflow orchestration and guardrails.

• Work fluently withfoundational LLMs(e.g. GPT Claude Gemini Pro) selectingappropriate modelsand deployment patterns based on latency cost andreliabilitytradeoffs.

• Use frameworks and tooling such asLangChain voice agents and related ecosystems to accelerate developmentwhile enforcing production discipline.

• Embrace AI-assisted development workflows (e.g. Cursor GitHub Copilot vibe coding paradigms) to move quickly without sacrificing quality.

• Champion observability and reliability: metrics logging tracing alerting and post-incident analysis.

• Lead andparticipateinproductionincident response retrospectives and systemic fixes.

• Identifyarchitectural risks early and make design decisions that prevent outages and scalability issues.

• Reduce complexity across services infrastructure and processes to improve stability and team velocity.

• Providetechnical guidance across teams andparticipatein architectural reviews beyond your immediate domain.

WHAT WERE LOOKING FOR

• 10 years of professional software engineering experience building and operating production-grade distributed systems.

• A strongtrack recordof hands-on ownership of business-critical services including measurable improvements in latency throughput stability or cost.

• Deepexpertisein systems design including service boundaries concurrency data modeling failure handling and scalability tradeoffs.

• Production experience supporting machine learningdriven systems (forecasting recommendations or similar) with emphasis on serving pipelines and infrastructure.

• Expert-level experience with AWS including designing deploying andoperatinglarge-scale cloud-native systems.

• Strong hands-on experience with Kubernetes containerized microservices and modern CI/CD pipelines.

• Experience operating software in both on-prem data center and AWS cloud environments.

• Fluency with modern AI-assisted development tools (e.g. Cursor GitHub Copilot) and comfort working in vibe codingstyle workflows that favor fast iteration tight feedback loops and continuous refactoring.

• Proficiencyin one or more backend languages commonly used for large-scale systems (e.g. Python Java Go Scala).

• Bachelors or mastersdegree in computer science Mathematics or a related field or equivalent practical experience.

STAFF-LEVEL EXPECTATIONS

In this role you are expected to:

• Be a prolific hands-on contributor who raises the bar through example.

• Own and deeply understandlarge portionsof the codebase and system architecture.

• Simplify complex systems to increase team velocity and reliability.

• Balance technical analytical and product constraints to deliver pragmatic solutions.

• Set short- to medium-term (612month) technical direction for your domain.

• Influence standards and architectural decisions across teams through credibility and collaboration.

• Ship multiple large services shared libraries or major infrastructure improvements.

WHY JOIN THIS TEAM

• Build andoperatemission-critical systems that power forecasting and recommendations at scale.

• Work in an environment that values execution pragmatism and modern engineering workflows.

• Operate at true Staff scope withreal architecturalownership and hands-on impact.

• Solve hard systems problems with meaningful business outcomes.

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 - $230000 depending 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!

Experience:

Staff IC