Qureos Mentor

Zeta Global

<div><div><div><p><b>VP, Publisher Sales &amp; Strategic Partnerships Manager &ndash; Zeta Actions</b></p>
</div>
<div><p><b>About the Role</b></p>
</div>
<div><p>Zeta Actions is seeking a high-performing sales professional to drive the growth of our publisher and advertiser network. This role is ideal for someone with deep experience in performance marketing who enjoys developing new business, negotiating partnerships, and growing strategic accounts.</p>
</div>
<div><p>You will be responsible for identifying and acquiring new publishers and advertisers, expanding existing partnerships, and maximizing revenue through data-driven optimization. This is a highly visible, revenue-generating role that combines business development, strategic relationship management, and campaign performance.</p>
</div>
<div><p>Success in this role will be measured by your ability to grow revenue, expand our partner ecosystem, and deliver strong client outcomes.</p></div><div><br>
<p>
</p></div><div><p><b>Responsibilities</b></p>
</div>
<div><p><b>Business Development &amp; Sales (Primary Focus)</b></p>
</div>
<div><ul><li><p>Develop and execute a sales strategy to acquire new publishers and advertisers across Zeta's performance marketing business.
</p></li></ul></div><div><ul><li><p>Build and manage a healthy pipeline through outbound prospecting, referrals, industry events, and existing relationships.
</p></li></ul></div><div><ul><li><p>Negotiate commercial agreements, pricing, and partnership terms with publishers and advertisers.
</p></li></ul></div><div><ul><li><p>Identify new revenue opportunities within existing accounts through upselling, cross-selling, and expansion into new channels.
</p></li></ul></div><div><ul><li><p>Develop strategic partnerships that increase scale, improve media quality, and diversify supply.
</p></li></ul></div><div><ul><li><p>Partner closely with internal leadership to define go-to-market strategies and launch new offerings.
</p></li></ul></div><div><ul><li><p>Maintain a strong understanding of market trends, competitive activity, and emerging performance marketing opportunities.</p><br>
</li>
</ul></div><p></p><div><p><b>Strategic Partner Management</b></p>
</div>
<div><ul><li><p>Own executive relationships with key publishers and advertisers.
</p></li></ul></div><div><ul><li><p>Conduct regular business reviews focused on growth opportunities and strategic planning.
</p></li></ul></div><div><ul><li><p>Serve as a trusted advisor by recommending new products, channels, and optimization strategies.
</p></li></ul></div></div><div><div><ul><li><p>Ensure high partner satisfaction while driving profitable revenue growth.
</p></li></ul></div><div><p><b>Campaign Strategy &amp; Performance</b></p>
</div>
<div><ul><li><p>Oversee campaign launches, pacing, fulfillment, and optimization.
</p></li></ul></div><div><ul><li><p>Work with Operations and BI teams to improve campaign performance and maximize ROI.
</p></li></ul></div><div><ul><li><p>Analyze campaign performance and identify opportunities to increase scale while maintaining quality.
</p></li></ul></div><div><ul><li><p>Collaborate with Product and Engineering teams to improve integrations, tracking, and operational efficiency.</p><br>
</li>
</ul></div><p></p><div><p><b>What We're Looking For</b></p>
</div>
<div><p><b>Required Experience</b></p>
</div>
<div><ul><li><p>7+ years of experience in performance marketing, affiliate marketing, publisher development, business development, or digital advertising sales.
</p></li></ul></div><div><ul><li><p>Demonstrated success acquiring and growing publisher and advertiser partnerships.
</p></li></ul></div><div><ul><li><p>Existing relationships within affiliate marketing, performance media, or digital publishing ecosystems.
</p></li></ul></div><div><ul><li><p>Strong understanding of CPL, CPA, CPC, ROAS, attribution, and performance marketing economics.
</p></li></ul></div><div><ul><li><p>Experience negotiating commercial agreements and managing strategic partnerships.
</p></li></ul></div><div><ul><li><p>Experience with affiliate platforms such as Cake, Everflow, Tune, Impact, or similar technologies.
</p></li></ul></div><div><ul><li><p>Strong analytical skills with Tableau, Power BI, Google Analytics, or similar reporting tools.
</p></li></ul></div><div><ul><li><p>Excellent presentation, negotiation, and executive communication skills.
</p></li></ul></div><div><p><b>Preferred Experience</b></p>
</div>
<div><ul><li><p>Higher Education performance marketing experience strongly preferred.
</p></li></ul></div><div><ul><li><p>Experience across additional lead generation verticals including Financial Services, Insurance, Healthcare, or Home Services.
</p></li></ul></div></div><div><div><ul><li><p>Experience managing publisher email inventory and affiliate media.</p><br>
</li>
</ul></div><p></p><div><p><b>What Success Looks Like</b></p>
</div>
<div><ul><li><p>Grow publisher and advertiser revenue.
</p></li></ul></div><div><ul><li><p>Expand Zeta's strategic publisher ecosystem.
</p></li></ul></div><div><ul><li><p>Launch new partnerships that generate incremental revenue.
</p></li></ul></div><div><ul><li><p>Increase partner retention and lifetime value.
</p></li></ul></div><div><ul><li><p>Identify new market opportunities and bring innovative ideas to the business.
</p></li></ul></div><div><ul><li><p>Deliver exceptional customer experiences while exceeding revenue goals.</p></li></ul><br>
<p>
</p><p></p><p><b>BENEFITS &amp; PERKS</b></p>
<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 Classes, and Pet Insurance</li>
</ul>
<p>And more!!</p><br>
<p></p>
<p><b>
COMPENSATION RANGE</b></p>
<p>
The compensation range for this role is $150,000.00 - $300,000.00, depending on location and experience.</p><br>
<p></p>
<p><b>
PEOPLE &amp; CULTURE AT ZETA</b></p>
<p>
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.</p>
<p>
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/</p><br>
<p></p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p>
<p>
#LI-MC1<br>
#LI-Remote</p></div></div></div><p></p>

Vice President, Publisher Sales & Strategic Partnerships

<div><div><div><p><b>VP, Publisher Sales &amp; Strategic Partnerships Manager &ndash; Zeta Actions</b></p>
</div>
<div><p><b>About the Role</b></p>
</div>
<div><p>Zeta Actions is seeking a high-performing sales professional to drive the growth of our publisher and advertiser network. This role is ideal for someone with deep experience in performance marketing who enjoys developing new business, negotiating partnerships, and growing strategic accounts.</p>
</div>
<div><p>You will be responsible for identifying and acquiring new publishers and advertisers, expanding existing partnerships, and maximizing revenue through data-driven optimization. This is a highly visible, revenue-generating role that combines business development, strategic relationship management, and campaign performance.</p>
</div>
<div><p>Success in this role will be measured by your ability to grow revenue, expand our partner ecosystem, and deliver strong client outcomes.</p></div><div><br>
<p>
</p></div><div><p><b>Responsibilities</b></p>
</div>
<div><p><b>Business Development &amp; Sales (Primary Focus)</b></p>
</div>
<div><ul><li><p>Develop and execute a sales strategy to acquire new publishers and advertisers across Zeta's performance marketing business.
</p></li></ul></div><div><ul><li><p>Build and manage a healthy pipeline through outbound prospecting, referrals, industry events, and existing relationships.
</p></li></ul></div><div><ul><li><p>Negotiate commercial agreements, pricing, and partnership terms with publishers and advertisers.
</p></li></ul></div><div><ul><li><p>Identify new revenue opportunities within existing accounts through upselling, cross-selling, and expansion into new channels.
</p></li></ul></div><div><ul><li><p>Develop strategic partnerships that increase scale, improve media quality, and diversify supply.
</p></li></ul></div><div><ul><li><p>Partner closely with internal leadership to define go-to-market strategies and launch new offerings.
</p></li></ul></div><div><ul><li><p>Maintain a strong understanding of market trends, competitive activity, and emerging performance marketing opportunities.</p><br>
</li>
</ul></div><p></p><div><p><b>Strategic Partner Management</b></p>
</div>
<div><ul><li><p>Own executive relationships with key publishers and advertisers.
</p></li></ul></div><div><ul><li><p>Conduct regular business reviews focused on growth opportunities and strategic planning.
</p></li></ul></div><div><ul><li><p>Serve as a trusted advisor by recommending new products, channels, and optimization strategies.
</p></li></ul></div></div><div><div><ul><li><p>Ensure high partner satisfaction while driving profitable revenue growth.
</p></li></ul></div><div><p><b>Campaign Strategy &amp; Performance</b></p>
</div>
<div><ul><li><p>Oversee campaign launches, pacing, fulfillment, and optimization.
</p></li></ul></div><div><ul><li><p>Work with Operations and BI teams to improve campaign performance and maximize ROI.
</p></li></ul></div><div><ul><li><p>Analyze campaign performance and identify opportunities to increase scale while maintaining quality.
</p></li></ul></div><div><ul><li><p>Collaborate with Product and Engineering teams to improve integrations, tracking, and operational efficiency.</p><br>
</li>
</ul></div><p></p><div><p><b>What We're Looking For</b></p>
</div>
<div><p><b>Required Experience</b></p>
</div>
<div><ul><li><p>7+ years of experience in performance marketing, affiliate marketing, publisher development, business development, or digital advertising sales.
</p></li></ul></div><div><ul><li><p>Demonstrated success acquiring and growing publisher and advertiser partnerships.
</p></li></ul></div><div><ul><li><p>Existing relationships within affiliate marketing, performance media, or digital publishing ecosystems.
</p></li></ul></div><div><ul><li><p>Strong understanding of CPL, CPA, CPC, ROAS, attribution, and performance marketing economics.
</p></li></ul></div><div><ul><li><p>Experience negotiating commercial agreements and managing strategic partnerships.
</p></li></ul></div><div><ul><li><p>Experience with affiliate platforms such as Cake, Everflow, Tune, Impact, or similar technologies.
</p></li></ul></div><div><ul><li><p>Strong analytical skills with Tableau, Power BI, Google Analytics, or similar reporting tools.
</p></li></ul></div><div><ul><li><p>Excellent presentation, negotiation, and executive communication skills.
</p></li></ul></div><div><p><b>Preferred Experience</b></p>
</div>
<div><ul><li><p>Higher Education performance marketing experience strongly preferred.
</p></li></ul></div><div><ul><li><p>Experience across additional lead generation verticals including Financial Services, Insurance, Healthcare, or Home Services.
</p></li></ul></div></div><div><div><ul><li><p>Experience managing publisher email inventory and affiliate media.</p><br>
</li>
</ul></div><p></p><div><p><b>What Success Looks Like</b></p>
</div>
<div><ul><li><p>Grow publisher and advertiser revenue.
</p></li></ul></div><div><ul><li><p>Expand Zeta's strategic publisher ecosystem.
</p></li></ul></div><div><ul><li><p>Launch new partnerships that generate incremental revenue.
</p></li></ul></div><div><ul><li><p>Increase partner retention and lifetime value.
</p></li></ul></div><div><ul><li><p>Identify new market opportunities and bring innovative ideas to the business.
</p></li></ul></div><div><ul><li><p>Deliver exceptional customer experiences while exceeding revenue goals.</p></li></ul><br>
<p>
</p><p></p><p><b>BENEFITS &amp; PERKS</b></p>
<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 Classes, and Pet Insurance</li>
</ul>
<p>And more!!</p><br>
<p></p>
<p><b>
COMPENSATION RANGE</b></p>
<p>
The compensation range for this role is $150,000.00 - $300,000.00, depending on location and experience.</p><br>
<p></p>
<p><b>
PEOPLE &amp; CULTURE AT ZETA</b></p>
<p>
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.</p>
<p>
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/</p><br>
<p></p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p>
<p>
#LI-MC1<br>
#LI-Remote</p></div></div></div><p></p>

<div><p><b>WHO WE ARE</b></p>
<p>
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.</p>
<p><b>
The Role</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p><b>
Essential Responsibilities:</b></p>
<p>
As a Senior Compute Platform Engineer, your responsibilities will include:</p>
<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><br>
<p></p>
<p><b>
Desired Characteristics:</b></p>
<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><br>
</ul>
<p><b>SALARY RANGE</b></p>
<p>
The salary range for this role is &pound;100,000 - &pound;112,000, depending on location and experience.</p>
<p><b>
PEOPLE &amp; CULTURE AT ZETA</b></p>
<p>
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.
</p><p>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/</p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p><br>
<p></p>
<p>
#LI-DD1</p></div>

Senior Compute Platform Engineer

<div><p><b>WHO WE ARE</b></p>
<p>
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.</p>
<p><b>
The Role</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p><b>
Essential Responsibilities:</b></p>
<p>
As a Senior Compute Platform Engineer, your responsibilities will include:</p>
<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><br>
<p></p>
<p><b>
Desired Characteristics:</b></p>
<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><br>
</ul>
<p><b>SALARY RANGE</b></p>
<p>
The salary range for this role is &euro;120,000 - &euro;130,000, depending on location and experience.</p>
<p><b>
PEOPLE &amp; CULTURE AT ZETA</b></p>
<p>
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.
</p><p>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/</p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p><br>
<p></p>
<p>
#LI-DD1</p></div>

<p></p><div><p><b>WHO WE ARE</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
The Role</b></p>
<p>
We&rsquo;re looking for a skilled <b>ML Engineer / Data Scientist</b> with <b>3+ years of software or applied ML experience</b> to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on <b>AWS</b>.This role sits at the intersection of <b>data science and engineering</b>: 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.</p><br>
<p></p>
<div>
<p><b>Who you are:</b></p>
<ul>
<li>Strong foundation in <b>machine learning, statistics</b> and <b>experiment design</b>.</li>
<li>Experience building models for <b>real business or product problems</b>, not only academic benchmarks.</li>
<li>Comfortable working with <b>structured and unstructured data</b>: feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.</li>
<li>Able to compare approaches with clear <b>metrics</b>, error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).</li>
<li>Interest in <b>modern ML</b>, including classical ML, deep learning, and <b>LLM / GenAI workflows</b> where relevant (fine-tuning, RAG, evaluation, prompt/versioning).</li>
<li>Proficient in <b>Python</b> and able to write <b>clean, modular, testable code</b>.</li>
<li>Experience developing and deploying ML solutions in a <b>cloud environment</b>, 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 <b>problem framing experimentation implementation rollout</b>.</li>
<li>Excellent <b>written and spoken English</b>.</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><b>Master&rsquo;s degree</b> in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar), <b>or equivalent practical experience</b>.</li>
</ul>
<p><b>Nice to have:</b></p>
<ul>
<li>Experience with <b>scikit-learn, PyTorch, TensorFlow, XGBoost</b>, or similar modeling stacks.</li>
<li>Familiarity with <b>ML experiment tracking</b> and reproducibility (e.g. MLflow, W&amp;B).</li>
<li>Experience with <b>SQL</b>, data warehouses/lakes, and pipeline tools such as <b>Airflow, dbt, or Spark</b>.</li>
<li>Exposure to <b>feature stores</b>, embedding pipelines, or <b>vector search</b> for retrieval-based systems.</li>
<li>Experience building <b>HTTP/gRPC APIs</b> or lightweight services around model inference.</li>
<li>Working knowledge of <b>Docker</b>, basic orchestration, and CI/CD (e.g. <b>GitLab CI</b>).</li>
<li>Experience in <b>agile</b>, <b>remote</b> and <b>async</b> team environments.</li>
<li>Publications, patents, Kaggle/competition results, or open-source ML contributions.</li>
</ul>
<p><b>What you might like about this role:</b></p>
<ul>
<li><b>Hands-on modeling work</b> with room to explore, benchmark, and improve real systems.</li>
<li>Collaboration on <b>ML patent submissions</b> and participation in weekly ML / research paper review meetings.</li>
<li>A <b>multicultural, engineering-focused team</b> with strong peer support.</li>
<li><b>High trust and autonomy</b>&mdash;clear goals, freedom in how to reach them.</li>
<li><b>Internal product impact</b>: meaningful projects that improve developer and user experience, not endless maintenance tickets.</li>
<li><b>Short approval cycles</b> and solid product partnership.</li>
<li>A <b>healthy meeting policy </b>and emphasis on protecting focus time.</li>
<li><b>Flexible hours</b>, remote/home office options, and a calm, engineers-only office when on-site.</li>
<li><b>Competitive compensation</b>, including stock options.</li></ul><br>
<div>
</div><div></div><div><div><p>We&rsquo;re hiring across <b>multiple levels</b>. Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.</p>
<p>
We&rsquo;re especially interested in candidates who are <b>technically strong, intellectually curious, and motivated by difficult, ambiguous problems</b> where good data science and solid engineering both matter.</p><br>
<p></p>
<p><b>
PEOPLE &amp; CULTURE AT ZETA</b></p>
<p>
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.
</p><p>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/</p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p><br>
<p></p>
<p>
#LI-NP1</p></div></div></div></div>

ML Ops Engineer

<div>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   WHO WE ARE&nbsp;
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  We&rsquo;re looking for a skilled&nbsp;
  <strong>
   ML Engineer / Data Scientist
  </strong>
  &nbsp;with&nbsp;
  <strong>
   3+ years of software or applied ML experience
  </strong>
  &nbsp;to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on&nbsp;
  <strong>
   AWS
  </strong>
  .This role sits at the intersection of&nbsp;
  <strong>
   data science and engineering
  </strong>
  : 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.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Who you are:
  </strong>
 </p>
 <ul>
  <li>
   Strong foundation in&nbsp;
   <strong>
    machine learning,&nbsp;statistics
   </strong>
   and&nbsp;
   <strong>
    experiment design
   </strong>
   .
  </li>
  <li>
   Experience building models for&nbsp;
   <strong>
    real business or product problems
   </strong>
   , not only academic benchmarks.
  </li>
  <li>
   Comfortable working with&nbsp;
   <strong>
    structured and unstructured data
   </strong>
   : feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.
  </li>
  <li>
   Able to compare approaches with clear&nbsp;
   <strong>
    metrics
   </strong>
   , error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).
  </li>
  <li>
   Interest in&nbsp;
   <strong>
    modern ML
   </strong>
   , including classical ML, deep learning, and&nbsp;
   <strong>
    LLM / GenAI workflows
   </strong>
   &nbsp;where relevant (fine-tuning, RAG, evaluation, prompt/versioning).
  </li>
  <li>
   Proficient in&nbsp;
   <strong>
    Python
   </strong>
   &nbsp;and able to write&nbsp;
   <strong>
    clean, modular, testable&nbsp;code
   </strong>
   .
  </li>
  <li>
   Experience developing and deploying ML solutions in a&nbsp;
   <strong>
    cloud environment
   </strong>
   , 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;
   <strong>
    problem framing &rarr; experimentation &rarr; implementation &rarr; rollout
   </strong>
   .
  </li>
  <li>
   Excellent&nbsp;
   <strong>
    written and spoken English
   </strong>
   .
  </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>
   <strong>
    Master&rsquo;s degree
   </strong>
   &nbsp;in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar),&nbsp;
   <strong>
    or equivalent practical experience
   </strong>
   .
  </li>
 </ul>
 <p>
  <strong>
   Nice to have:
  </strong>
 </p>
 <ul>
  <li>
   Experience with&nbsp;
   <strong>
    scikit-learn,&nbsp;PyTorch,&nbsp;TensorFlow,&nbsp;XGBoost
   </strong>
   , or similar modeling stacks.
  </li>
  <li>
   Familiarity with&nbsp;
   <strong>
    ML experiment tracking
   </strong>
   &nbsp;and reproducibility (e.g. MLflow, W&amp;B).
  </li>
  <li>
   Experience with&nbsp;
   <strong>
    SQL
   </strong>
   , data warehouses/lakes, and pipeline tools such as&nbsp;
   <strong>
    Airflow,&nbsp;dbt, or&nbsp;Spark
   </strong>
   .
  </li>
  <li>
   Exposure to&nbsp;
   <strong>
    feature stores
   </strong>
   , embedding pipelines, or&nbsp;
   <strong>
    vector search
   </strong>
   &nbsp;for retrieval-based systems.
  </li>
  <li>
   Experience building&nbsp;
   <strong>
    HTTP/gRPC APIs
   </strong>
   &nbsp;or lightweight services around model inference.
  </li>
  <li>
   Working knowledge of&nbsp;
   <strong>
    Docker
   </strong>
   , basic orchestration, and CI/CD (e.g.&nbsp;
   <strong>
    GitLab CI
   </strong>
   ).
  </li>
  <li>
   Experience in&nbsp;
   <strong>
    agile
   </strong>
   ,&nbsp;
   <strong>
    remote
   </strong>
   and&nbsp;
   <strong>
    async
   </strong>
   &nbsp;team environments.
  </li>
  <li>
   Publications, patents, Kaggle/competition results, or open-source ML contributions.
  </li>
 </ul>
 <p>
  <strong>
   What you might like about this role:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Hands-on modeling work
   </strong>
   &nbsp;with room to explore, benchmark, and improve real systems.
  </li>
  <li>
   Collaboration on&nbsp;
   <strong>
    ML patent submissions
   </strong>
   &nbsp;and participation in&nbsp;weekly ML / research paper review&nbsp;meetings.
  </li>
  <li>
   A&nbsp;
   <strong>
    multicultural, engineering-focused team
   </strong>
   &nbsp;with strong peer support.
  </li>
  <li>
   <strong>
    High trust and autonomy
   </strong>
   &mdash;clear goals, freedom in how to reach them.
  </li>
  <li>
   <strong>
    Internal product impact
   </strong>
   : meaningful projects that improve developer and user experience, not endless maintenance tickets.
  </li>
  <li>
   <strong>
    Short approval cycles
   </strong>
   &nbsp;and solid product partnership.
  </li>
  <li>
   A&nbsp;
   <strong>
    healthy meeting policy&nbsp;
   </strong>
   and emphasis on protecting focus time.
  </li>
  <li>
   <strong>
    Flexible hours
   </strong>
   , remote/home office options, and a calm, engineers-only office when on-site.
  </li>
  <li>
   <strong>
    Competitive compensation
   </strong>
   , including&nbsp;stock options.
  </li>
 </ul>
 &nbsp;
 <p>
  We&rsquo;re hiring across
  <strong>
   multiple levels
  </strong>
  . Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.
 </p>
 <p>
  We&rsquo;re especially interested in candidates who are&nbsp;
  <strong>
   technically strong, intellectually curious, and motivated by difficult, ambiguous problems
  </strong>
  &nbsp;where good data science and solid engineering both matter.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   PEOPLE &amp; CULTURE AT ZETA
  </strong>
 </p>
 <p>
  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;
 </p>
 <p>
  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;
 </p>
 <p>
  <strong>
   ZETA IN THE NEWS!
  </strong>
 </p>
 <p>
  https://zetaglobal.com/press/?cat=press-releases&nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
 </p>
 <span>
 </span>
</div>


<div><p><b>WHO WE ARE</b></p>
<p>
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.</p>
<p><b>
Overview</b></p>
<p>
We are seeking a detail-oriented <b>Client Experience Operations Manager</b> 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.</p>
<p>
The ideal candidate has <b>3&ndash;5 years of digital marketing or media operations experience</b>, understands <b>digital tagging frameworks</b>, and is familiar with <b>customer journey attribution concepts</b> across multiple marketing channels. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Project &amp; Dashboard Management</b></p>
<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>
<p><b>Digital Tagging &amp; Tracking</b></p>
<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>
<p><b>Attribution &amp; Performance Operations</b></p>
<ul>
<li>Maintain understanding of <b>customer journey attribution models</b> (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>
<p><b>Operational Excellence</b></p>
<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>
<p><b>Qualifications</b></p>
<p><b>
Required</b></p>
<ul>
<li>3&ndash;5 years of experience in digital media operations, marketing operations, or campaign management.</li>
<li>Experience working with <b>digital tagging and tracking frameworks</b>.</li>
<li>Familiarity with <b>customer journey attribution concepts</b> 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>
<p><b>Preferred</b></p>
<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>
<p><b>Skills</b></p>
<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>
<p><b>BENEFITS &amp; PERKS</b></p>
<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>
<p><b>SALARY RANGE</b></p>
<p>
The salary range for this role is $70,000 - $85,000<b>,</b> depending on location and experience.</p>
<p><b>
PEOPLE &amp; CULTURE AT ZETA</b></p>
<p>
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.
</p><p>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/</p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p>
<p>
#LI-MR1</p>
<p>
#LI-Remote</p></div>

Client Experience Operations Manager

Join Zeta Global and explore 9   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

About Company

Vice President, Publisher Sales & Strategic Partnerships

Vice President, Publisher Sales & Strategic Partnerships

Senior Compute Platform Engineer

Senior Compute Platform Engineer

ML Ops Engineer

ML Ops Engineer

Client Experience Operations Manager