Qureos Mentor

Zeta Global

<div>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 &ndash; 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 Role

As a Senior Compute Platform Engineer on the Data Platform team, you will be part of the group responsible for building and running the data infrastructure that powers Zeta's platform, including Zeta's lakehouse platform. The Data Platform team delivers reliable, cost-efficient data processing that scales with growth &mdash; so engineers and analysts can focus on business problems instead of wrestling with infrastructure.

The Data Platform team empowers data scientists and data engineers through a Scala data warehouse framework designed for data modeling and the creation of type-safe and easily testable batch jobs. The team also orchestrates a compute environment that simplifies the execution of Spark jobs, facilitating the analysis of terabytes of data with ease and cost-effectiveness. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability.

Our team is responsible for the development and deployment of the company's next-generation technology, closely collaborating with the company's other branches in San Francisco and Berlin. You will help grow the team through mentoring, code reviews, and knowledge sharing so others can work effectively with our stack.

Essential Responsibilities:

As a Senior Compute Platform Engineer, your responsibilities will include:
<ul>
<li>Operating and implementing new features in the framework and the services managed by the team</li>
</ul><ul><li>Engaging with data scientists and identifying ways of improving their experience and productivity when using our framework and services</li>
</ul><ul><li>Identifying and implementing computational improvements</li>
</ul><ul><li>Making improvements and/or fixing bugs by submitting patches to open-source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others</li>
</ul><ul><li>Acting as an expert on Spark and Scala</li>
</ul><ul><li>Mentoring engineers (including through pairing, design discussions, and knowledge-sharing sessions) and helping raise the bar on quality, reliability, and good practices across the team</li></ul> 


Desired Characteristics:
<ul>
<li>Minimum 7 years of software engineering experience</li>
</ul><ul><li>A degree in Computer Science, Software Engineering, Physics, Math, or a related field</li>
</ul><ul><li>2+ years of experience and proficiency in Scala or other JVM-based languages</li>
</ul><ul><li>Experience with Spark and/or other large-scale data-processing frameworks</li>
</ul><ul><li>Experience with Kubernetes is a plus</li>
</ul><ul><li>Basic knowledge of Amazon Web Services (EC2, S3, Athena, etc.)</li>
</ul><ul><li>Interest in back-end technologies, architecture, and passion for learning new things</li>
</ul><ul><li>Interest in math, statistics, or adtech technology is a plus</li>
</ul><ul><li>Analytical approach to problems and pragmatic approach to solutions</li>
</ul><ul><li>Ability to work independently and enterprisingly in a dynamic environment where work priorities can change</li>
<li>Excellent interpersonal and communication skills, with the ability to discuss ideas in a distanced and constructive manner</li> 
</ul>
SALARY RANGE

The salary range for this role is &pound;100,000 - &pound;112,000, 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.
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 


#LI-DD1</div>

Senior Compute Platform Engineer

<div>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 &ndash; powered by one of the industry&rsquo;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 Role

As a Senior Compute Platform Engineer on the Data Platform team, you will be part of the group responsible for building and running the data infrastructure that powers Zeta's platform, including Zeta&rsquo;s lakehouse platform. The Data Platform team delivers reliable, cost-efficient data processing that scales with growth &mdash; so engineers and analysts can focus on business problems instead of wrestling with infrastructure.

The Data Platform team empowers data scientists and data engineers through a Scala data warehouse framework designed for data modeling and the creation of type-safe and easily testable batch jobs. The team also orchestrates a compute environment that simplifies the execution of Spark jobs, facilitating the analysis of terabytes of data with ease and cost-effectiveness. The runtime environment is based on Hadoop clusters on EC2 spot instances, dynamically scaling up as required, ensuring high resource utilization and stability.

Our team is responsible for the development and deployment of the company's next-generation technology, closely collaborating with the company's other branches in San Francisco and Berlin. You will help grow the team through mentoring, code reviews, and knowledge sharing so others can work effectively with our stack.

Essential Responsibilities:

As a Senior Compute Platform Engineer, your responsibilities will include:
<ul>
<li>Operating and implementing new features in the framework and the services managed by the team</li>
</ul><ul><li>Engaging with data scientists and identifying ways of improving their experience and productivity when using our framework and services</li>
</ul><ul><li>Identifying and implementing computational improvements</li>
</ul><ul><li>Making improvements and/or fixing bugs by submitting patches to open-source projects in our stack, such as Spark, Iceberg, Hadoop, Airflow, and many others</li>
</ul><ul><li>Acting as an expert on Spark and Scala</li>
</ul><ul><li>Mentoring engineers (including through pairing, design discussions, and knowledge-sharing sessions) and helping raise the bar on quality, reliability, and good practices across the team</li></ul> 


Desired Characteristics:
<ul>
<li>Minimum 7 years of software engineering experience</li>
</ul><ul><li>A degree in Computer Science, Software Engineering, Physics, Math, or a related field</li>
</ul><ul><li>2+ years of experience and proficiency in Scala or other JVM-based languages</li>
</ul><ul><li>Experience with Spark and/or other large-scale data-processing frameworks</li>
</ul><ul><li>Experience with Kubernetes is a plus</li>
</ul><ul><li>Basic knowledge of Amazon Web Services (EC2, S3, Athena, etc.)</li>
</ul><ul><li>Interest in back-end technologies, architecture, and passion for learning new things</li>
</ul><ul><li>Interest in math, statistics, or adtech technology is a plus</li>
</ul><ul><li>Analytical approach to problems and pragmatic approach to solutions</li>
</ul><ul><li>Ability to work independently and enterprisingly in a dynamic environment where work priorities can change</li>
<li>Excellent interpersonal and communication skills, with the ability to discuss ideas in a distanced and constructive manner</li> 
</ul>
SALARY RANGE

The salary range for this role is &euro;120,000 - &euro;130,000, 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&rsquo;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&rsquo;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 


#LI-DD1</div>

<div>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 &ndash; powered by one of the industry&rsquo;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 Role

We&rsquo;re looking for a skilled ML Engineer / Data Scientist with 3+ years of software or applied ML experience to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on AWS.This role sits at the intersection of data science and engineering: exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work&mdash;not just notebooks, and not just infrastructure. 

<div>
Who you are:
<ul>
<li>Strong foundation in machine learning, statistics and experiment design.</li>
<li>Experience building models for real business or product problems, not only academic benchmarks.</li>
<li>Comfortable working with structured and unstructured data: feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.</li>
<li>Able to compare approaches with clear metrics, error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).</li>
<li>Interest in modern ML, including classical ML, deep learning, and LLM / GenAI workflows where relevant (fine-tuning, RAG, evaluation, prompt/versioning).</li>
<li>Proficient in Python and able to write clean, modular, testable code.</li>
<li>Experience developing and deploying ML solutions in a cloud environment, especially AWS.</li>
<li>Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.</li>
<li>Independent engineer who can own work from problem framing experimentation implementation rollout.</li>
<li>Excellent written and spoken English.</li>
<li>Enjoy working closely with engineers, product partners, and other data scientists.</li>
<li>Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.</li>
<li>Master&rsquo;s degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar), or equivalent practical experience.</li>
</ul>
Nice to have:
<ul>
<li>Experience with scikit-learn, PyTorch, TensorFlow, XGBoost, or similar modeling stacks.</li>
<li>Familiarity with ML experiment tracking and reproducibility (e.g. MLflow, W&amp;B).</li>
<li>Experience with SQL, data warehouses/lakes, and pipeline tools such as Airflow, dbt, or Spark.</li>
<li>Exposure to feature stores, embedding pipelines, or vector search for retrieval-based systems.</li>
<li>Experience building HTTP/gRPC APIs or lightweight services around model inference.</li>
<li>Working knowledge of Docker, basic orchestration, and CI/CD (e.g. GitLab CI).</li>
<li>Experience in agile, remote and async team environments.</li>
<li>Publications, patents, Kaggle/competition results, or open-source ML contributions.</li>
</ul>
What you might like about this role:
<ul>
<li>Hands-on modeling work with room to explore, benchmark, and improve real systems.</li>
<li>Collaboration on ML patent submissions and participation in weekly ML / research paper review meetings.</li>
<li>A multicultural, engineering-focused team with strong peer support.</li>
<li>High trust and autonomy&mdash;clear goals, freedom in how to reach them.</li>
<li>Internal product impact: meaningful projects that improve developer and user experience, not endless maintenance tickets.</li>
<li>Short approval cycles and solid product partnership.</li>
<li>A healthy meeting policy and emphasis on protecting focus time.</li>
<li>Flexible hours, remote/home office options, and a calm, engineers-only office when on-site.</li>
<li>Competitive compensation, including stock options.</li></ul> 
<div>
</div><div></div><div><div>We&rsquo;re hiring across multiple levels. Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.

We&rsquo;re especially interested in candidates who are technically strong, intellectually curious, and motivated by difficult, ambiguous problems where good data science and solid engineering both matter. 


PEOPLE &amp; CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual&rsquo;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&rsquo;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 


#LI-NP1</div></div></div></div>

ML Ops Engineer

<div>
 
 &nbsp;
 
 
 
 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 &ndash; powered by one of the industry&rsquo;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.
 
 
 &nbsp;
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for a skilled&nbsp;
 
 ML Engineer / Data Scientist
 
 &nbsp;with&nbsp;
 
 3+ years of software or applied ML experience
 
 &nbsp;to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on&nbsp;
 
 AWS
 
 .This role sits at the intersection of&nbsp;
 
 data science and engineering
 
 : exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work&mdash;not just notebooks, and not just infrastructure.
 
 
 &nbsp;
 
 
 
 Who you are:
 
 
 <ul>
 <li>
 Strong foundation in&nbsp;
 
 machine learning,&nbsp;statistics
 
 and&nbsp;
 
 experiment design
 
 .
 </li>
 <li>
 Experience building models for&nbsp;
 
 real business or product problems
 
 , not only academic benchmarks.
 </li>
 <li>
 Comfortable working with&nbsp;
 
 structured and unstructured data
 
 : feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.
 </li>
 <li>
 Able to compare approaches with clear&nbsp;
 
 metrics
 
 , error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).
 </li>
 <li>
 Interest in&nbsp;
 
 modern ML
 
 , including classical ML, deep learning, and&nbsp;
 
 LLM / GenAI workflows
 
 &nbsp;where relevant (fine-tuning, RAG, evaluation, prompt/versioning).
 </li>
 <li>
 Proficient in&nbsp;
 
 Python
 
 &nbsp;and able to write&nbsp;
 
 clean, modular, testable&nbsp;code
 
 .
 </li>
 <li>
 Experience developing and deploying ML solutions in a&nbsp;
 
 cloud environment
 
 , especially&nbsp;AWS.
 </li>
 <li>
 Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.
 </li>
 <li>
 Independent engineer who can own work from&nbsp;
 
 problem framing &rarr; experimentation &rarr; implementation &rarr; rollout
 
 .
 </li>
 <li>
 Excellent&nbsp;
 
 written and spoken English
 
 .
 </li>
 <li>
 Enjoy working closely with engineers, product partners, and other data scientists.
 </li>
 <li>
 Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.
 </li>
 <li>
 
 Master&rsquo;s degree
 
 &nbsp;in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar),&nbsp;
 
 or equivalent practical experience
 
 .
 </li>
 </ul>
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Experience with&nbsp;
 
 scikit-learn,&nbsp;PyTorch,&nbsp;TensorFlow,&nbsp;XGBoost
 
 , or similar modeling stacks.
 </li>
 <li>
 Familiarity with&nbsp;
 
 ML experiment tracking
 
 &nbsp;and reproducibility (e.g. MLflow, W&amp;B).
 </li>
 <li>
 Experience with&nbsp;
 
 SQL
 
 , data warehouses/lakes, and pipeline tools such as&nbsp;
 
 Airflow,&nbsp;dbt, or&nbsp;Spark
 
 .
 </li>
 <li>
 Exposure to&nbsp;
 
 feature stores
 
 , embedding pipelines, or&nbsp;
 
 vector search
 
 &nbsp;for retrieval-based systems.
 </li>
 <li>
 Experience building&nbsp;
 
 HTTP/gRPC APIs
 
 &nbsp;or lightweight services around model inference.
 </li>
 <li>
 Working knowledge of&nbsp;
 
 Docker
 
 , basic orchestration, and CI/CD (e.g.&nbsp;
 
 GitLab CI
 
 ).
 </li>
 <li>
 Experience in&nbsp;
 
 agile
 
 ,&nbsp;
 
 remote
 
 and&nbsp;
 
 async
 
 &nbsp;team environments.
 </li>
 <li>
 Publications, patents, Kaggle/competition results, or open-source ML contributions.
 </li>
 </ul>
 
 
 What you might like about this role:
 
 
 <ul>
 <li>
 
 Hands-on modeling work
 
 &nbsp;with room to explore, benchmark, and improve real systems.
 </li>
 <li>
 Collaboration on&nbsp;
 
 ML patent submissions
 
 &nbsp;and participation in&nbsp;weekly ML / research paper review&nbsp;meetings.
 </li>
 <li>
 A&nbsp;
 
 multicultural, engineering-focused team
 
 &nbsp;with strong peer support.
 </li>
 <li>
 
 High trust and autonomy
 
 &mdash;clear goals, freedom in how to reach them.
 </li>
 <li>
 
 Internal product impact
 
 : meaningful projects that improve developer and user experience, not endless maintenance tickets.
 </li>
 <li>
 
 Short approval cycles
 
 &nbsp;and solid product partnership.
 </li>
 <li>
 A&nbsp;
 
 healthy meeting policy&nbsp;
 
 and emphasis on protecting focus time.
 </li>
 <li>
 
 Flexible hours
 
 , remote/home office options, and a calm, engineers-only office when on-site.
 </li>
 <li>
 
 Competitive compensation
 
 , including&nbsp;stock options.
 </li>
 </ul>
 &nbsp;
 
 We&rsquo;re hiring across
 
 multiple levels
 
 . Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.
 
 
 We&rsquo;re especially interested in candidates who are&nbsp;
 
 technically strong, intellectually curious, and motivated by difficult, ambiguous problems
 
 &nbsp;where good data science and solid engineering both matter.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 PEOPLE &amp; CULTURE AT ZETA
 
 
 
 Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual&rsquo;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&rsquo;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; https://zetaglobal.com/blog/a-look-into-zetas-ergs/&nbsp;
 
 
 
 ZETA IN THE NEWS!
 
 
 
 https://zetaglobal.com/press/?cat=press-releases&nbsp;
 
 
 &nbsp;
 
 
 
 
 
</div>

<div>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 &ndash; powered by one of the industry&rsquo;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.

Overview

We are seeking a detail-oriented Client Experience Operations Manager to support the execution and operational management of various media projects. This role sits at the intersection of media strategy, analytics, and data cloud, ensuring measurement solutions are executed accurately, tracking is implemented correctly, and documentation/project management is clear and communicated to responsible parties.

The ideal candidate has 3&ndash;5 years of digital marketing or media operations experience, understands digital tagging frameworks, and is familiar with customer journey attribution concepts across multiple marketing channels. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote.

Key Responsibilities

Project &amp; Dashboard Management
<ul>
<li>Manage timelines, deliverables, and operational workflows for measurement dashboards, 1PD onboarding, audience creation among other projects</li>
<li>Track campaign milestones, dependencies, and risks across cross-functional teams.</li>
</ul>
Digital Tagging &amp; Tracking
<ul>
<li>Support implementation and QA of tracking tags across media platforms and websites.</li>
<li>Ensure campaign tagging follows established taxonomy and naming conventions.</li>
<li>Collaborate with analytics teams to validate tracking accuracy and troubleshoot discrepancies.</li>
<li>Assist with documentation of tagging standards and best practices.</li>
</ul>
Attribution &amp; Performance Operations
<ul>
<li>Maintain understanding of customer journey attribution models (first-touch, last-touch, multi-touch).</li>
<li>Support integration of media tracking data into attribution and reporting frameworks.</li>
<li>Partner with analytics teams to ensure media data aligns with broader customer journey measurement.</li>
</ul>
Operational Excellence
<ul>
<li>Maintain campaign documentation, workflows, and tracking implementation guides.</li>
<li>Identify opportunities to improve operational efficiency across campaign setup and reporting.</li>
<li>Ensure compliance with internal data governance and marketing technology standards.</li>
</ul>
Qualifications

Required
<ul>
<li>3&ndash;5 years of experience in digital media operations, marketing operations, or campaign management.</li>
<li>Experience working with digital tagging and tracking frameworks.</li>
<li>Familiarity with customer journey attribution concepts and multi-channel measurement.</li>
<li>Strong project management and organizational skills.</li>
<li>Ability to coordinate across media, analytics, and technology teams.</li>
</ul>
Preferred
<ul>
<li>Experience with tag management</li>
<li>Familiarity with analytics and reporting platforms such as Google Analytics or Adobe Analytics.</li>
<li>Experience working with media platforms such as Google Campaign Manager 360 or The Trade Desk.</li>
<li>Knowledge of marketing attribution tools or media measurement platforms.</li>
</ul>
Skills
<ul>
<li>Digital media campaign operations</li>
<li>Tagging implementation and QA</li>
<li>Marketing analytics collaboration</li>
<li>Project management and workflow coordination</li>
<li>Data accuracy and troubleshooting</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 $70,000 - $85,000, 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&rsquo;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&rsquo;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

#LI-MR1

#LI-Remote</div>

Client Experience Operations Manager

<div>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 &ndash; powered by one of the industry&rsquo;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 ROLE

We are seeking a Client Experience Operations Director to lead the operational execution and measurement infrastructure supporting media initiatives. This role will oversee measurement solution workflows, tagging governance, and the integration of media performance data into customer journey attribution and marketing analytics frameworks.

The ideal candidate combines deep digital media operations expertise with strong program leadership, bringing a strategic perspective on how campaign execution, tagging standards, and attribution methodologies enable better marketing decision-making.

This leader will partner closely with media strategy, analytics, marketing technology, and product teams to ensure that campaigns are executed efficiently and that measurement frameworks accurately capture performance across the full customer journey. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote.

Key Responsibilities

Media Operations Leadership
<ul>
<li>Lead the operational strategy for digital media campaign tracking across channels.</li>
<li>Establish scalable workflows, governance models, and operational standards that support high-volume campaign delivery.</li>
<li>Oversee campaign implementation processes, ensuring accurate setup and tagging for the purpose of tracking for attribution</li>
<li>Manage relationships with internal stakeholders and external media partners.</li>
</ul>
Digital Tagging &amp; Measurement Infrastructure
<ul>
<li>Own governance and standards for digital tagging, campaign taxonomy, and tracking implementation across media platforms.</li>
<li>Partner with marketing technology teams to manage tagging architecture using platforms such as Google Tag Manager.</li>
<li>Ensure media data is accurately captured within analytics environments such as Google Analytics or Adobe Analytics.</li>
<li>Develop QA frameworks to ensure consistent data integrity across campaigns.</li>
</ul>
Attribution &amp; Customer Journey Measurement
<ul>
<li>Lead collaboration with analytics teams to integrate media performance data into customer journey attribution frameworks.</li>
<li>Ensure campaign tracking supports multi-touch attribution and cross-channel measurement.</li>
<li>Provide strategic input into measurement methodologies and attribution modeling.</li>
</ul>
Cross-Functional Program Management
<ul>
<li>Serve as the operational lead across media, analytics, marketing technology, and product teams.</li>
<li>Translate marketing strategy into operational requirements and execution frameworks.</li>
<li>Oversee campaign planning timelines, dependencies, and cross-team coordination.</li>
</ul>
Team Leadership
<ul>
<li>Build and manage a team responsible for campaign operations, tagging implementation, and operational project management.</li>
<li>Mentor team members and establish best practices for operational excellence.</li>
<li>Drive a culture of accountability, documentation, and continuous improvement.</li>
</ul>
Qualifications

Required
<ul>
<li>8&ndash;12+ years of experience in digital media operations, marketing operations, or digital campaign management.</li>
<li>Deep understanding of digital tagging frameworks and campaign tracking implementation.</li>
<li>Strong familiarity with customer journey attribution concepts and multi-channel measurement.</li>
<li>Experience leading cross-functional teams across media, analytics, and marketing technology.</li>
<li>Proven ability to design scalable operational processes and governance frameworks.</li>
</ul>
Preferred
<ul>
<li>Experience with media platforms such as Google Campaign Manager 360 or The Trade Desk.</li>
<li>Experience working with enterprise analytics platforms such as Adobe Analytics.</li>
<li>Experience implementing tagging standards through tag management systems.</li>
<li>Familiarity with marketing attribution or media measurement platforms.</li>
</ul>
Core Skills
<ul>
<li>Media project management leadership</li>
<li>Digital tracking and tagging governance</li>
<li>Customer journey attribution strategy</li>
<li>Cross-functional program management</li>
<li>Marketing data infrastructure and analytics collaboration</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 $125,000 - $140,000, 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&rsquo;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&rsquo;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

#LI-MR1

#LI-Remote</div>

Client Experience Operations Director

<div>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 &ndash; powered by one of the industry&rsquo;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 ROLE

We are seeking a Paid Search Associate Director who can confidently lead client relationships while also rolling up their sleeves to execute campaigns. This role requires a balance of strategic vision and hands-on management. You&rsquo;ll be responsible for guiding client strategy, overseeing performance, and ensuring flawless execution of paid search campaigns from end to end. 
 
The ideal candidate thrives in a client-facing role, can distill data into actionable insights, and knows how to turn strategy into measurable results. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco, Miami) or remote.

RESPONSIBILITIES
<ul>
<li>Client Strategy &amp; Leadership</li>
<li><ul><li>Serve as the primary client contact for paid search strategy and performance discussions.</li>
<li>Develop and present strategic roadmaps, testing plans, and growth opportunities tailored to client goals.</li>
<li>Proactively identify areas for optimization and innovation across accounts.</li>
</ul></li><li>Campaign Management &amp; Execution</li>
<li><ul><li>Oversee end-to-end execution of paid search campaigns, including account setup, budget pacing, optimization, and reporting.</li>
<li>Actively manage campaigns and monitor performance across Google Ads, Google Ads Editor, Microsoft Ads, and SA360.</li>
<li>Establish testing frameworks and innovation pipelines to continuously improve results.</li>
<li>Translate insights into actionable next steps that drive measurable client impact.</li>
</ul></li><li>Team Collaboration &amp; Mentorship</li>
<li><ul><li>Collaborate with internal teams to ensure campaign execution aligns with client objectives.</li>
<li>Provide mentorship and guidance to junior team members, ensuring best practices are consistently applied.</li>
</ul></li><li>Analysis &amp; Reporting</li>
<li><ul><li>Deliver clear, data-driven performance reports and insights to clients &ndash; diving into the &ldquo;why&rdquo; behind the data.</li>
<li>Recommend testing strategies, budget allocation shifts, and bid strategy adjustments based on performance trends.</li>
<li>Ensure accuracy, consistency, and timeliness of reporting.</li>
</ul></li>
</ul>QUALIFICATIONS
<ul>
<li>5+ years of relevant paid search experience.</li>
<li>Hands-on experience in managing monthly campaign budgets of $500k+.</li>
<li>Experience with Google Ads, SA360, Microsoft Ads, and Google Ads Editor.</li>
<li>Meticulous attention to detail.</li>
</ul>
Preferred but not required:
<ul>
<li>Experience with GA4.</li>
<li>Experience with Shopping, Vehicle Ads, and Performance Max campaigns.</li>
<li>Google Ads and Microsoft Ads certification.</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 $80,000 - $120,000, 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&rsquo;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&rsquo;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

#LI-MR1

#LI-Remote</div>

Associate Director, Paid Search

Join Zeta Global and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Zeta Global

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Client Experience Operations Manager

Client Experience Operations Director

Associate Director, Paid Search