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Build and deploy AI-driven models to optimize ad performance and monetization for publishers using large-scale data pipelines and agentic AI tools in a hands-on role.
The Lead Data Engineer will build and scale a real-time event-streaming platform using Kafka, Flink, and ClickHouse while managing end-to-end data pipelines with BigQuery, dbt, and Python. The role involves setting technical direction, mentoring engineers, and ensuring high standards for data quality and observability.
Full-Stack Engineer building scalable APIs and backend services for an AI-driven brand safety platform, deploying ML models and integrating with ad tech platforms in cloud-native environments.
Designs visual assets for marketing campaigns across digital and print platforms using Adobe Creative Cloud and Figma, collaborating with cross-functional teams to meet client objectives.
Leads AI-powered diagnostics and keyword intelligence tools for Microsoft Advertising, defining roadmaps and agentic workflows to help advertisers diagnose issues and optimize campaigns.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
Lead the creation of a new product pod at Digible, unifying agency operations and customer data into a single platform using AI and integrations to improve efficiency and customer experience.
The Data Engineer will design and maintain scalable real-time and batch data pipelines to support DFI Retail Group's martech ecosystem, including customer data platforms and marketing automation. The role involves data modeling, legacy system migrations, and providing technical support.
The Full-Stack Engineer II will design, develop, and deploy full-stack applications including UIs, APIs, and database components. The role involves using AI-assisted development tools and collaborating across cross-functional teams.
The Full Stack Engineer will develop and maintain scalable web applications, managing both front-end interfaces and back-end API and database systems. The role requires experience with modern web frameworks, cloud services, and CI/CD pipelines to support the company's marketing, publication, and business automation technology solutions.
MoonTech is seeking a senior Data Engineer to build and manage data pipelines, warehouse architecture, and data models for an AI-driven agentic platform. The role involves working with SQL, Python, dbt, and cloud infrastructure to support creator matching, campaign performance, and attribution.
Senior Data Engineer building data infrastructure from scratch at an AI-first influencer marketing company, owning pipelines and warehouse architecture on GCP/AWS with BigQuery, dbt, Python, and Airflow/Dagster/Prefect to power AI agents, creator matching, and campaign attribution.
Popcorn is an AI studio building a platform for automated video ad generation, and they are seeking a Principal Full Stack Engineer to lead architecture, backend, and infrastructure. The role involves managing complex AI orchestration pipelines, database design, and scaling the platform using a TypeScript-heavy stack including Next.js and PostgreSQL.
This role involves acting as a technical and user experience consultant for the Blip platform, conducting demonstrations, gathering requirements, and designing solution proposals. You will balance user journeys with technical feasibility, working with client and internal teams, and utilizing programming knowledge and API experience.
HR Business Partner role supporting NYT’s Global Advertising team, advising leaders on people strategy, performance management, and HR initiatives in a hybrid office setting.
Senior engineer building video ad products for The New York Times, focusing on programmatic video delivery, identity resolution, and ad-tech standards across web and mobile.
Senior Marketing Analytics Specialist at a creative agency, analyzing campaign performance (digital and offline), building executive dashboards, and leading client analytics relationships using SQL, Tableau/Power BI, and applied statistics.
Data Scientist applying ML to marketing problems (MMM, forecasting, attribution) at a media advisory firm in Barcelona. Day to day involves building models in Python, writing SQL, managing ELT pipelines, and presenting findings to clients.
The Measurement Analyst will support the Client Services team by synthesizing marketing campaign data into actionable insights using tools like Excel, Google Sheets, and Looker. This role involves aggregating and visualizing data to measure influencer marketing effectiveness and communicating findings to both technical and non-technical stakeholders.
Develop and maintain web applications using PHP/Laravel, Python, MySQL, and PostgreSQL for a direct marketing company, collaborating with cross-functional teams and deploying to cloud platforms.
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