Zeta Global is a data-driven marketing technology company that leverages artificial intelligence and machine learning to help businesses acquire, grow, and retain customers. Founded in 2007, Zeta Global's innovative solutions enable personalized marketing strategies across channels, driving customer engagement and business growth. The company's comprehensive data-driven approach has redefined digital marketing and continues to set new standards in the industry.

zeta-global

The Role
As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Real-Time data collection and delivery. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.&nbsp;
 This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge. You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems.&nbsp;
&nbsp;
Essential Responsibilities:
As a Senior Software Engineer, your responsibilities will include:
<ul>
<li>Building, refining, tuning, and maintaining our real-time infrastructure</li>
<li>Designing, developing and maintaining services responsible for data collection and real-time data processing</li>
<li>Working with Product Managers to design and build data products</li>
<li>Working with our DevOps team to scale and optimize our infrastructure</li>
<li>Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects</li>
<li>Participating in on-call rotation (be available by phone or email in case something goes wrong)</li>
</ul>
Desired Characteristics:
<ul>
<li>Minimum 4 years of software engineering experience.</li>
<li>An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.</li>
<li>2+ Years of Experience/Fluency in Scala/Java</li>
<li>Proficient with both relational and NoSQL databases</li>
<li>Experience working with container-based solutions is a plus.</li>
<li>Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus</li>
<li>Experience in adequate usage of cloud services (AWS) at scale</li>
<li>Experience in adequate usage of Terraform</li>
<li>Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.</li>
<li>Expertise in designing and architecting distributed low latency and scalable solutions in cloud.</li>
<li>Exposure to the whole software development lifecycle from inception to production and monitoring.</li>
<li>Experience in Advertising Attribution domain is a plus</li>
<li>Experience in agile software development processes</li>
<li>Excellent interpersonal and communication skills</li>
</ul>
BENEFITS &amp; PERKS
<ul>
<li>Excellent medical, dental, and vision coverage</li>
</ul>
PEOPLE &amp; 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.&nbsp;&nbsp;
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:&nbsp; <a id="menur37bb" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://zetaglobal.com/blog/a-look-into-zetas-ergs/" target="_blank">Resource Center - Zeta Global</a>&nbsp;

Senior Software Engineer

WHO WE ARE&nbsp;<span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;
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.&nbsp; To learn more, go to <a id="menurbsu" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.zetaglobal.com&amp;esheet=54156035&amp;newsitemid=20241120710510&amp;lan=en-US&amp;anchor=www.zetaglobal.com&amp;index=5&amp;md5=09d6c3ed87f3aa28979e1188d5e5b185" target="_blank">www.zetaglobal.com</a>.
&nbsp;
THE ROLE
Zeta Global Corp. seeks a Staff Software Engineer in NYC to drive the design and development of the next generation of agentic, reliable, and scalable GenAI platforms supporting state-of-the-art large language models, evaluation systems, and secure developer tooling. Shape technical direction, ensuring architectural excellence to infuse AI into real-world production solution.
&nbsp;
<ul>
<li>Lead the design and development of secure, scalable platform services and tooling for LLM-powered applications, agentic workflows, and experimentation.</li>
<li>Design and implement retrieval and knowledge systems (e.g., RAG pipelines, embeddings, vector stores) to support enterprise use cases.</li>
<li>Establish evaluation frameworks, benchmarks, and feedback loops to measure and continuously improve quality, correctness, and safety of GenAI systems.</li>
<li>Build observability and debugging capabilities for LLM applications, including tracing, cost monitoring, latency analysis, and failure detection. Optimize cost and performance of GenAI workloads through model routing, caching, prompt optimization, and efficient infrastructure design.</li>
<li>Architect multi-tenant capabilities including isolation, configuration, quota management, and cost attribution.</li>
<li>Implement GenAI-specific security controls, including prompt injection mitigation, data protection, and access governance.</li>
<li>Design and implement agent orchestration frameworks, including tool integration, state management, and workflow control.</li>
<li>Build developer-facing APIs, SDKs, and tooling to enable rapid experimentation and productionization of GenAI use cases.</li>
<li>Drive end-to-end lifecycle management from experimentation to production, including versioning, deployment strategies, and rollback mechanisms.</li>
<li>Integrate and evaluate multiple model providers and frameworks, defining abstraction and selection strategies.</li>
<li>Develop Software using C#, Java, JavaScript, Go, or Python.</li>
<li>Apply experience with generative AI, large language models (LLMs), and cloud infrastructure.</li>
<li>Work with GenAI platform technologies (MCP, LangGraph, OpenAI, Bedrock).&nbsp;</li>
</ul>
Option to telecommute 3 days per week.&nbsp;
Bachelor’s degree in Computer Science, Computer or Software Engineering or Information Systems plus 5 years of experience in the job offered or in a related occupation.
Salary: $240,000/yr.
Send resume to: S Arvelo, Zeta Global Corp., 3 Park Avenue, 33rd Floor, New York, NY 10016.
&nbsp;
&nbsp;
&nbsp;
BENEFITS &amp; PERKS<span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="1" data-aria-level="1">Unlimited PTO&nbsp;</li>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="2" data-aria-level="1">Excellent medical, dental, and vision coverage&nbsp;</li>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="3" data-aria-level="1">Employee Equity and Stock Purchase Plan&nbsp;</li>
<li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}" data-aria-posinset="4" data-aria-level="1">Employee Discounts, Virtual Wellness Classes, and Pet Insurance&nbsp;</li>
</ul>
And more!!<span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;&nbsp;
&nbsp;
PEOPLE &amp; CULTURE AT ZETA<span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;
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.&nbsp;&nbsp;
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:&nbsp;<a href="https://zetaglobal.com/blog/a-look-into-zetas-ergs/">https://zetaglobal.com/blog/a-look-into-zetas-ergs/</a><span data-ccp-props="{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}">&nbsp;
ZETA IN THE NEWS!<span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}">&nbsp;
<a href="https://zetaglobal.com/press/?cat=press-releases">https://zetaglobal.com/press/?cat=press-releases</a>&nbsp;
&nbsp;
&nbsp;
&nbsp;

Staff Software Engineer

<div>
WHO WE ARE  &nbsp;
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 <a href="https://www.zetaglobal.com">www.zetaglobal.com</a>.&nbsp;
THE ROLE&nbsp;
</div>
<div>
<ul>
<li>
As a Senior Data Platform Engineer, you will build and&nbsp;operate&nbsp;the data infrastructure that supports Zeta’s products, analytics, machine learning, and AI systems.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
This is a broad&nbsp;platform role. Engineers on the team take ownership across Lakehouse architecture, distributed compute, data quality, governance, lineage, security, access controls, and the operational systems that keep the platform running. Individual focus areas will change with team priorities, and you will contribute across the platform as needed.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
The team&nbsp;also&nbsp;develops tooling for type-safe, testable data pipelines and&nbsp;operates&nbsp;Spark workloads on dynamically sized Hadoop clusters backed by EC2 Spot instances. We work closely with data engineers, data scientists, infrastructure teams, and product teams to make data dependable, easy to find, secure to use, and cost-effective to process.&nbsp;
</li>
</ul>
This is a hybrid role based out of either our San Mateo, CA or San Francisco, CA office.
</div>
<div>
RESPONSIBILITIES&nbsp;
</div>
<div>
<ul>
<li>
Build and&nbsp;operate&nbsp;Lakehouse, Spark, and distributed data-processing systems.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Improve the performance, reliability, cost, and operational visibility of platform workloads.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Develop capabilities for data quality, governance, lineage, metadata, discoverability, security, and access control.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Build the data context&nbsp;required&nbsp;for trusted reporting, ML models, and AI agents.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Evaluate compute and query engines for read-heavy workloads, assessing cost, performance, reliability, and operational fit.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Assess real-time OLAP technologies and identify appropriate production use cases.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Improve deployment, observability, incident response, developer tooling, and platform operations.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Partner with data scientists and data engineers to improve their experience using the platform.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Contribute fixes and improvements to relevant open-source projects, including Spark, Iceberg, and Airflow.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Mentor engineers through code reviews, pairing, design discussions, and knowledge-sharing sessions.&nbsp;
</li>
</ul>
</div>
<div>
QUALIFICATIONS&nbsp;
</div>
<div>
<ul>
<li>
7+ years of software engineering experience.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Strong experience in&nbsp;Python,&nbsp;Scala, Java, or another JVM language.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Experience with Spark or another distributed data-processing framework.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Experience building or operating production data platforms, backend systems, or distributed systems.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Familiarity with at least 1 of these areas: Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Working knowledge of AWS services such as EC2, S3, Athena, and IAM.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Experience improving production reliability through monitoring, alerting, deployment automation, and incident response.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Strong analytical, communication, and collaboration skills.&nbsp;
</li>
</ul>
</div>
<div>
<ul>
<li>
Experience with Kubernetes, Terraform, Airflow, Trino,&nbsp;ClickHouse, Starrocks, or Pinot is a plus.&nbsp;
</li>
</ul>
BENEFITS &amp; PERKS &nbsp;
<ul>
<li> Unlimited PTO </li>
<li> Excellent medical, dental, and vision coverage </li>
<li> Employee Equity and Stock Purchase Plan </li>
<li> Employee Discounts, Virtual Wellness&nbsp;Classes, andPet Insurance And&nbsp;more!! &nbsp;</li>
</ul>
SALARY RANGE &nbsp;
The salary range for this role is $165,000 - $185,000, depending on location and experience.  &nbsp;
PEOPLE &amp; CULTURE AT ZETA &nbsp;
Zeta considers applicants for employment without regard&nbsp;to and&nbsp;does not discriminate&nbsp;on the basis of&nbsp;an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate&nbsp;on the basis of&nbsp;sexual orientation, gender identity or expression. &nbsp;
We’re&nbsp;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,&nbsp;support&nbsp;and advocate for one another. Learn more about our commitment to diversity,&nbsp;equity&nbsp;and inclusion here: <a href="https://zetaglobal.com/blog/a-look-into-zetas-ergs/">https://zetaglobal.com/blog/a-look-into-zetas-ergs/</a> &nbsp;
ZETA IN THE NEWS! &nbsp;
<a href="https://zetaglobal.com/press/?cat=press-releases">https://zetaglobal.com/press/?cat=press-releases</a> &nbsp;
#LI-YW1
</div>
<div>
&nbsp;
</div>

Senior Software Engineer, Data Platform

<h3></h3>
Staff Software Engineer 
About the role: 
We are hiring a hands-on Staff Software Engineer to provide technical leadership for our Forecasting and Recommendations platforms, with a strong focus on production-grade AI and agentic systems.
This role centers on designing, building, and operating high-throughput, low-latency distributed systems that power forecasting, recommendations, and AI-driven decisioning at scale. You will work deeply in backend systems, infrastructure, and AI application architecture, while remaining accountable for reliability, observability, and operational excellence. 
We are looking for an engineer who can contribute immediately, has shouldered real production incidents, and brings strong judgment around building stable, observable, and scalable systems, including modern agentic and LLM powered applications.&nbsp;
What You’ll Do : 
<ul>
<li style="text-align: left;">Design, build, and operate systems supporting forecasting, recommendations, and agentic AI workflows in production.</li>
<li style="text-align: left;">Write production-quality code daily; own services end-to-end from design through on-call and incident resolution.</li>
<li style="text-align: left;">Architect low-latency, high-throughput SaaS services, including APIs, data pipelines, model inference, and agent orchestration.</li>
<li style="text-align: left;">Build and maintain production-grade agentic applications, including tool-using agents, workflow orchestration, and guardrails.</li>
<li style="text-align: left;">Work fluently with foundational LLMs (e.g., GPT, Claude, Gemini Pro), selecting appropriate models and deployment patterns based on latency, cost, and reliability tradeoffs.</li>
<li style="text-align: left;">Use frameworks and tooling such as LangChain, voice agents, and related ecosystems to accelerate development—while enforcing production discipline.</li>
<li style="text-align: left;">Embrace AI-assisted development workflows (e.g., Cursor, GitHub Copilot, vibe coding paradigms) to move quickly without sacrificing quality.</li>
<li style="text-align: left;">Champion observability and reliability: metrics, logging, tracing, alerting, and post-incident analysis.</li>
<li style="text-align: left;">Lead and participate in production incident response, retrospectives, and systemic fixes.</li>
<li style="text-align: left;">Identify architectural risks early and make design decisions that prevent outages and scalability issues.</li>
<li style="text-align: left;">Reduce complexity across services, infrastructure, and processes to improve stability and team velocity.</li>
<li style="text-align: left;">Provide technical guidance across teams and participate in architectural reviews beyond your immediate domain.</li>
</ul>
What We’re Looking For :&nbsp;
<ul>
<li>12+ years of professional software engineering experience building and operating production-grade distributed systems.</li>
<li>A strong track record of hands-on ownership of business-critical services, including measurable improvements in latency, throughput, stability, or cost.</li>
<li>Deep expertise in systems design, including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs.</li>
<li>Production experience supporting machine learning–driven systems (forecasting, recommendations, or similar), with emphasis on serving, pipelines, and infrastructure.</li>
<li>Expert-level experience with AWS, including designing, deploying, and operating large-scale cloud-native systems.</li>
<li>Strong hands-on experience with Kubernetes, containerized microservices, and modern CI/CD pipelines.</li>
<li>Experience operating software in both on-prem data center and AWS cloud environments.</li>
<li>Fluency with modern AI-assisted development tools (e.g., Cursor, GitHub Copilot) and comfort working in “vibe coding”–style workflows that favor fast iteration, tight feedback loops, and continuous refactoring.</li>
<li>Proficiency in one or more backend languages commonly used for large-scale systems (e.g., Python, Java, Go, Scala).</li>
<li>Bachelor’s or master’s degree in computer science, Mathematics, or a related field, or equivalent practical experience.</li>
</ul>
Staff-Level Expectations
In this role, you are expected to: 
<ul>
<li>Be a prolific, hands-on contributor who raises the bar through example.</li>
<li>Own and deeply understand large portions of the codebase and system architecture.</li>
<li>Simplify complex systems to increase team velocity and reliability.</li>
<li>Balance technical, analytical, and product constraints to deliver pragmatic solutions.</li>
<li>Set short- to medium-term (6–12 month) technical direction for your domain.&nbsp;</li>
<li>Influence standards and architectural decisions across teams through credibility and collaboration.</li>
<li>Ship multiple large services, shared libraries, or major infrastructure improvements.&nbsp;</li>
</ul>
Why Join This Team 
<ul>
<li>Build and operate mission-critical systems that power forecasting and recommendations at scale.</li>
<li>Work in an environment that values execution, pragmatism, and modern engineering workflows.</li>
<li>Operate at true Staff scope with real architectural ownership and hands-on impact.</li>
<li>Solve hard systems problems with meaningful business outcomes.</li>
</ul>
Company Summary 
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth. 
Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP), which unifies customer data, identity, and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes.
Publicly traded on the New York Stock Exchange (NYSE: ZETA), Zeta is redefining modern marketing with Athena by Zeta™, a superintelligent, conversational agent embedded in ZMP that personalizes the marketer’s workspace, surfaces platform generated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes. 
<h3></h3>

<h3>&nbsp;</h3>
Senior Software Engineer – Forecasting &amp; Recommendations
About the role: 
We are hiring a hands-on Senior Software Engineer to build and operate backend services for our Forecasting and Recommendations platforms, with a focus on production-grade AI and data-driven decisioning systems.
This role focus on designing, building, and maintaining high-throughput, low-latency distributed systems that power forecasting, recommendations, and Performance Advisor capabilities at scale. You will work deeply in backend systems, APIs, event-driven services, and cloud infrastructure, while contributing to reliability, observability, and operational excellence.
We are looking for an engineer who can contribute immediately, has strong experience building scalable production systems, and brings sound judgment around developing reliable, maintainable, and high-performance software, including systems that integrate machine-learning and AI capabilities&nbsp;
What You’ll Do :
<ul>
<li style="text-align: left;">Design, build, and operate backend services supporting forecasting, recommendations, and Performance Advisor workflows in production.</li>
<li style="text-align: left;">Write production-quality code daily; own significant services and components from design through deployment, support, and incident resolution.</li>
<li style="text-align: left;">Build low-latency, high-throughput SaaS services, including APIs, event-driven pipelines, data-processing services, and model-integration workflows.</li>
<li style="text-align: left;">Develop and maintain scalable backend components that support AI- and machine-learning-driven product capabilities.</li>
<li style="text-align: left;">Collaborate with data science, platform, and product teams to integrate forecasting, recommendation, and AI decisioning capabilities into production systems.</li>
<li style="text-align: left;">Work with technologies such as Kafka, Elasticsearch, NoSQL databases, and AWS to build resilient distributed systems.</li>
<li style="text-align: left;">Ensure product quality through rigorous code reviews, unit tests, debugging, and continuous improvement.</li>
<li style="text-align: left;">Champion observability and reliability through metrics, logging, tracing, alerting, and root-cause analysis.</li>
<li style="text-align: left;">Participate in production incident response, retrospectives, and systemic fixes.</li>
<li style="text-align: left;">Identify performance, scalability, and reliability risks early and contribute practical solutions.</li>
<li style="text-align: left;">Reduce complexity across services, infrastructure, and processes to improve stability and team velocity.</li>
<li style="text-align: left;">Collaborate effectively across engineering and product teams in a large, distributed development.</li>
</ul>
What We’re Looking For : 
<ul>
<li>8–12 years of professional software engineering experience building and operating scalable, robust backend systems.</li>
<li>A strong track record of hands-on ownership of production services, including improvements in performance, reliability, scalability, or cost.</li>
<li>Strong expertise in distributed systems design, including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs.</li>
<li>Experience developing high-throughput, event-driven systems and backend APIs.</li>
<li>Experience supporting machine-learning-driven systems, forecasting, recommendations, or similar datadriven applications is strongly preferred.</li>
<li>Strong hands-on experience with AWS and cloud-native system design and operations.</li>
<li>Experience with Kafka, Elasticsearch, NoSQL databases such as Aerospike, Thrift, and modern CI/CD pipelines.</li>
<li>Experience with container-based solutions and microservices architectures.</li>
<li>Proficiency in one or more backend languages commonly used for large-scale systems, such as Python, Java, Ruby, Go, or Scala.</li>
<li>Familiarity with modern AI-enabled applications, LLM integrations, or agentic workflows is a plus.</li>
<li>Strong object-oriented programming, system design, problem-solving, critical-thinking, and communication skills.</li>
<li>Bachelor’s or master’s degree in computer science, Mathematics, Engineering, or a related field, or equivalent practical experience.&nbsp;</li>
</ul>
Senior-Level Expectations
In this role, you are expected to:
<ul>
<li>Be a strong, hands-on contributor who delivers high-quality software and sets a strong engineering example.</li>
<li>Take ownership of significant services, components, or features from design through production operation.</li>
<li>Build a deep understanding of the systems and domains you own.</li>
<li>Simplify and improve existing systems to increase team velocity, reliability, and maintainability.</li>
<li>Balance technical, analytical, and product constraints to deliver practical solutions.</li>
<li>Make sound technical decisions within your domain and raise architectural or operational risks early.</li>
<li>Mentor and support other engineers through code reviews, design discussions, and collaborative problem solving.</li>
<li>Ship meaningful services, features, and infrastructure improvements that advance the Performance Advisor platform.&nbsp;</li>
</ul>
Why Join This Team 
<ul>
<li>Build and operate mission-critical systems that power forecasting and recommendations at scale.</li>
<li>Build and operate mission-critical systems that power forecasting, recommendations, and Performance Advisor capabilities at scale.</li>
<li>Work on high-throughput distributed systems with meaningful business impact.</li>
<li>Collaborate with experienced engineers, product leaders, and AI/data teams.</li>
<li>Work in an environment that values execution, pragmatism, and modern engineering workflows.</li>
<li>Solve complex backend and systems problems while building skills in cloud-native and AI-powered applications.</li>
</ul>
Company Summary 
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP), which unifies customer data, identity, and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes.
Publicly traded on the New York Stock Exchange (NYSE: ZETA), Zeta is redefining modern marketing with Athena by Zeta™, a super intelligent, conversational agent embedded in ZMP that personalizes the marketer’s workspace, surfaces platform generated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes.
&nbsp;
<h3>&nbsp;</h3>

Senior Software Engineer – Forecasting & Recommendations

WHO WE ARE&nbsp;
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 <a href="https://www.zetaglobal.com">www.zetaglobal.com</a>.
The Opportunity: Where Impossible Becomes Possible
The Identity team operates the critical backend services powering the Zeta Identity Graph. How do you engineer distributed architectures to manage a profile store running in several terabytes while maintaining single-digit millisecond latencies for billions of monthly events? We seek an innovative Senior Software Engineer to help navigate this exact scale, driving a multi-year roadmap to optimize our existing systems and architect our next-generation platform.
You Will:
<ul>
<li>Design and build backend services and APIs for identity resolution, graph transparency, and platform integrations.</li>
<li>Optimize event-driven pipelines processing billions of signals.</li>
<li>Deploy and operate cloud-native services on EKS/Kubernetes using Helm.</li>
<li>Ensure absolute reliability, observability, and scalability across services and data pipelines.</li>
<li>Collaborate with engineering, product, and data teams to deliver identity solutions and mentor junior engineers.</li>
</ul>
You Have:
<ul>
<li>5+ years of experience in backend and/or data engineering at enterprise scale.</li>
<li>Strong programming skills in Python, Java, or Scala, with expertise in API design and distributed systems.</li>
<li>Experience with Kafka, streaming frameworks (Spark/Hive/Flink), and schedulers (Airflow/Luigi).</li>
<li>Proficiency with Kubernetes (EKS) and AWS cloud deployment practices.</li>
<li>Knowledge of SQL, complex data modeling, and high-throughput NoSQL/columnar databases (Aerospike, Snowflake, Scylla, etc.).</li>
</ul>
Bonus Skills:
<ul>
<li>Experience designing multi-tenant distributed systems or real-time streaming frameworks (Flink/Storm).</li>
<li>Knowledge of open table formats (Iceberg, Hudi, Delta Lake) and security/privacy frameworks.</li>
</ul>
BENEFITS &amp; PERKS
<ul>
<li>Unlimited PTO</li>
<li>Excellent medical, dental, and vision coverage</li>
<li>Employee Equity</li>
<li>Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!</li>
</ul>
SALARY RANGE
The salary range for this role is $150,000 - $180,000, depending on location and experience.
PEOPLE &amp; 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.&nbsp;&nbsp;
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:&nbsp; <a id="menur45rm" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://zetaglobal.com/blog/a-look-into-zetas-ergs/" target="_blank">https://zetaglobal.com/blog/a-look-into-zetas-ergs/</a>&nbsp;
ZETA IN THE NEWS!
<a href="https://zetaglobal.com/press/?cat=press-releases">https://zetaglobal.com/press/?cat=press-releases</a>&nbsp; #LI-TS1

Senior Software Engineer, Identity

Senior Software Engineer - Automation &amp; Tooling 
Key Responsibilities
<ul>
<li style="text-align: left;">Design, develop, and maintain robust automation frameworks, tools, and scripts to enhance engineering efficiency and product quality. Write production-grade code and actively contribute to the test automation ecosystem.</li>
<li style="text-align: left;">Provide architectural input for automation solutions, ensure scalability and maintainability, and set coding standards for QA automation. Act as a go-to technical leader while remaining actively involved in code contributions.</li>
<li style="text-align: left;">Partner with Product Managers, Engineering Managers, Engineers, QA Managers, and QA peers across multiple pods to identify quality challenges, share solutions, and drive org-wide improvements.</li>
<li style="text-align: left;">Identify gaps in QA processes and tooling; design and implement innovative solutions to improve testing practices. Drive the evaluation, adoption and integration of new technologies, frameworks, and methodologies within the Automation &amp; Tooling team.</li>
<li style="text-align: left;">Own complex quality issues across pods; facilitate discussions and workshops to drive resolution and implement long-term solutions.</li>
<li style="text-align: left;">Mentor junior engineers and QA peers in automation best practices. Run knowledge-sharing sessions to spread technical expertise across the organization.</li>
<li style="text-align: left;">Track and analyze QA-related KPIs; leverage data to identify improvements and report progress on automation and quality initiatives.&nbsp;</li>
<li style="text-align: left;">Align QA automation strategies with end-user needs, ensuring test coverage and quality improvements directly support the customer experience.&nbsp;</li>
</ul>
Qualifications
<ul>
<li>Bachelor’s degree in computer science, Engineering, or equivalent experience.</li>
<li>8+ years in Quality Engineering or Software Development, with strong emphasis on test automation and tooling.</li>
<li>Strong software engineering background with proven coding expertise (Python required; Java, JavaScript, or similar languages a plus).</li>
<li>Demonstrated ability to architect and maintain automation frameworks at scale.</li>
<li>Experience integrating automation into CI/CD pipelines and modern DevOps environments.</li>
<li>Track record of contributing both strategically (process/tooling improvements) and technically (hands-on coding).</li>
<li>Experience mentoring engineers and influencing QA practices across teams or pods.</li>
</ul>
Skills and Competencies
<ul>
<li>Excellent coding and debugging skills; strong grasp of software engineering principles.</li>
<li>Ability to design and document complex automation frameworks and tools.</li>
<li>Strong problem-solving, analytical, and architectural skills.</li>
<li>Excellent communication and interpersonal abilities; able to influence without direct authority.</li>
<li>Knowledge of Agile and DevOps methodologies.&nbsp;</li>
</ul>
Bonus / Preferred Skills in AI/ML
<ul>
<li>Hands-on experience developing AI -powered applications, especially using RAG architectures for knowledge retrieval and augmentation.</li>
<li>Familiarity with LangChain or similar frameworks for building LLM-powered workflows.</li>
<li>Experience with Model Context Protocols (MCPs) or related agent orchestration approaches.</li>
<li>Strong Python skills with modern ML/AI libraries (e.g. Hugging Face, OpenAI API, Llama Index).</li>
<li>Experience applying AI in QA/automation contexts (e.g., intelligent test generation, anomaly detection, defect classification).</li>
<li>Understanding of MLOps practices (model deployment, monitoring, versioning, integration with CI/CD).</li>
<li>Awareness of ethical AI practices (bias, explainability, model governance). </li>
</ul>
Company Summary 
Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth. Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP), which unifies customer data, identity, and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes. Publicly traded on the New York Stock Exchange (NYSE: ZETA), Zeta is redefining modern marketing with Athena by Zeta™, a superintelligent, conversational agent embedded in ZMP that personalizes the marketer’s workspace, surfaces platform generated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes. 
&nbsp;

Senior Software Engineer - Automation & Tooling

WHO WE ARE&nbsp;
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 <a href="https://www.zetaglobal.com">www.zetaglobal.com</a>.
<h2>Role Responsibilities</h2>
<ul>
<li>
Agent Chaining and Orchestration: Develop and manage the architecture for chaining LLM agents, tools, models, and workflows across complex use cases. Ensure seamless orchestration, handoffs, state management, and integration across the platform.
</li>
<li>
Context Graph and Context Architecture: Lead the development of a shared Context Graph that gives agents persistent awareness of users, brands, accounts, workflows, capabilities, data, prior actions, goals, and outcomes. Define how context is captured, structured, retrieved, governed, and made available across agents and products.
</li>
<li>
Context Streaming Services: Implement and manage context streaming services that provide agents with real-time awareness of user actions, application state, system events, and relevant business data. Ensure context remains current, permission-aware, and usable across multi-step workflows.
</li>
<li>
Agent Telemetry and Observability: Define the telemetry framework required to understand how agents operate in production. Instrument and analyze intent routing, agent and tool selection, context utilization, handoffs, latency, errors, completion rates, confidence, user interventions, and business outcomes. Build the feedback loops necessary to continuously improve agent performance.
</li>
<li>
Agent Evaluation Suites: Build robust evaluation frameworks for testing agent quality, reliability, routing, context utilization, tool execution, and end-to-end workflow completion. Establish both offline and production evaluation methodologies that enable measurable improvements over time.
</li>
<li>
Model Workbench Development: Lead the creation of a Model Workbench designed for marketers and other non-technical users, enabling them to safely leverage LLMs, traditional ML, agents, and workflows without requiring deep technical expertise.
</li>
<li>
MCP Capability and Tool Registry: Oversee the registration, documentation, governance, and discoverability of Model Context Protocol servers, tools, agents, and platform capabilities. Ensure capabilities are easy for both developers and agents to understand, select, and invoke correctly.
</li>
<li>
Cross-Functional Architecture and Organizational Alignment: Drive alignment across Product, Engineering, Data Science, Design, Analytics, Security, and business stakeholders around shared agentic architecture, context standards, ownership models, evaluation criteria, and platform priorities. Establish clear accountability and operating models for capabilities that span multiple teams.
</li>
<li>
Platform Standards and Governance: Define standards for how agents, tools, context sources, telemetry, and workflows are built and integrated across the organization. Balance local team autonomy with the consistency required to create a coherent platform experience.
</li>
<li>
Technical Troubleshooting and Prototyping: Actively participate in troubleshooting and debugging using tools such as LangSmith and related observability platforms. Lead by example by rapidly building proof-of-concepts to validate technical approaches, identify architectural constraints, and demonstrate new product opportunities.
</li>
<li>
Advocacy for Rapid Iteration: Promote a culture of rapid prototyping, experimentation, and evidence-based iteration. Use lightweight development and “vibe coding” where appropriate to quickly turn ideas into working experiences before investing in production-scale implementations.
</li>
</ul>
<h2>Required Qualifications</h2>
<ul>
<li>
Product Management Experience: Demonstrated experience leading complex technical products, particularly those involving LLMs, AI agents, workflow systems, developer platforms, ML infrastructure, or AI-driven applications.
</li>
<li>
Agentic Systems Expertise: Strong understanding of LLM agents, tool use, orchestration, multi-agent workflows, state management, context management, and the architectural patterns required to operate agentic systems reliably at scale.
</li>
<li>
Context and Knowledge Architecture: Experience designing or working with context graphs, knowledge graphs, semantic systems, memory architectures, metadata platforms, or other systems that allow applications and models to understand relationships between users, data, actions, and business objects.
</li>
<li>
Telemetry and Observability: Strong understanding of instrumentation, telemetry, evaluation, and observability for complex software or AI systems. Ability to define the signals required to distinguish between model failures, orchestration failures, context failures, tool failures, and UX failures.
</li>
<li>
Organizational Alignment and Influence: Exceptional ability to align senior stakeholders and cross-functional teams around shared technical architecture, product priorities, ownership boundaries, and operating standards. Comfortable leading initiatives where no single team controls the entire outcome.
</li>
<li>
Systems Thinking: Ability to reason across product experience, model behavior, data, infrastructure, APIs, organizational ownership, and operational processes rather than optimizing individual components in isolation.
</li>
<li>
Technical Proficiency: Strong technical background with hands-on familiarity with tools such as LangSmith and experience working with APIs, workflow orchestration, LLM agent chaining, MCP, evaluation frameworks, and modern AI development environments.
</li>
<li>
Problem-Solving and Prototyping: Demonstrated ability to troubleshoot ambiguous technical problems, rapidly prototype potential solutions, and translate experimentation into scalable product and architectural decisions.
</li>
<li>
Communication and Collaboration: Excellent communication skills with the ability to translate highly technical concepts into clear product strategies, operating models, and decisions for technical and non-technical audiences.
</li>
</ul>
<h2>Preferred Qualifications</h2>
<ul>
<li>
Experience building or operating agentic infrastructure, AI platforms, context platforms, knowledge graphs, or developer ecosystems.
</li>
<li>
Experience integrating traditional machine learning with generative models and agentic systems, including using predictive models as tools or contextual inputs for agents.
</li>
<li>
Experience with workflow orchestration platforms and distributed systems involving multiple services, teams, and execution environments.
</li>
<li>
Experience designing AI telemetry, evaluation systems, experimentation frameworks, or production observability for LLM-powered products.
</li>
<li>
Demonstrated success establishing cross-functional technical standards and governance across multiple engineering and product organizations.
</li>
<li>
Experience building systems where context, telemetry, and evaluation form a continuous learning loop, allowing agent behavior and product experiences to improve based on real-world usage.
</li>
</ul>
BENEFITS &amp; PERKS
<ul>
<li>Unlimited PTO</li>
<li>Excellent medical, dental, and vision coverage</li>
<li>Employee Equity</li>
<li>Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!</li>
</ul>
SALARY RANGE
The salary range for this role is $185,000 - $205,000, depending on location and experience.&nbsp;
PEOPLE &amp; 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.&nbsp;&nbsp;
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:&nbsp; <a id="menur45rm" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://zetaglobal.com/blog/a-look-into-zetas-ergs/" target="_blank">https://zetaglobal.com/blog/a-look-into-zetas-ergs/</a>&nbsp;
ZETA IN THE NEWS!
<a href="https://zetaglobal.com/press/?cat=press-releases">https://zetaglobal.com/press/?cat=press-releases</a>&nbsp;
&nbsp;
#LI-YW1

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