Full Stack Ad Tech Developer

Hearst•New York, NY
•$110,000 - $140,000•Hybrid

About The Position

The Full Stack Ad Tech Developer at Hearst Magazines builds and maintains systems supporting advertising, audience insights, and revenue across the company’s media brands. The role focuses on scalable backend services and data systems, while also developing APIs, internal tools, and front-end applications for ad delivery, campaign measurement, troubleshooting, and revenue reporting. The developer works with engineering, analytics, and ad operations teams to deliver reliable, accurate, and privacy-compliant data solutions. The position includes monitoring and optimizing applications and pipelines, contributing to automated testing and CI/CD, and applying privacy-by-design principles. It is based in New York City and follows a hybrid schedule with four days per week in the office. Applicants must be authorized to work for any U.S. employer; visa sponsorship is unavailable.

Requirements

  • At least 3 years of experience in full stack software development, with a strong focus on backend development, data engineering, or equivalent experience.
  • Proficiency in Python, SQL, and JavaScript.
  • Experience building applications with modern JavaScript frameworks such as React and Node.js.
  • Hands-on experience designing, building, and maintaining ETL workflows, data pipelines, APIs, and backend services.
  • Experience with cloud platforms such as Google Cloud Platform or AWS, including serverless technologies.
  • Familiarity with data warehouses such as BigQuery, Redshift, or similar technologies.
  • Experience with digital advertising technologies, including Google Ad Manager, header bidding platforms, OpenRTB, or related ad tech ecosystems.
  • Comfort using AI-assisted development tools for coding, testing, debugging, documentation, and infrastructure workflows.
  • Understanding of CI/CD pipelines, automated testing, and modern software engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving skills, with attention to performance, scalability, and reliability.
  • Ability to collaborate effectively across engineering, analytics, product, and ad operations teams.
  • Understanding of data privacy requirements, including GDPR, CCPA, and privacy-focused system design principles.
  • Authorization to work for any employer in the United States; the company is unable to sponsor or take over sponsorship of an employment visa.

Nice To Haves

  • Experience with data governance tools.
  • Experience with business intelligence platforms such as Looker or Tableau.
  • Experience with real-time data processing frameworks.
  • Experience with machine learning pipelines.
  • Experience with retrieval-augmented generation (RAG) solutions.

Responsibilities

  • Design and develop scalable backend services that process advertising event and audience engagement data through reliable ETL pipelines.
  • Build and maintain data ingestion, transformation, and enrichment systems integrating with ad servers, supply-side platforms, data management platforms, and other third-party technologies.
  • Develop APIs and internal tools for ad delivery, campaign measurement, troubleshooting, and revenue reporting.
  • Create and maintain front-end applications and operational tools using modern JavaScript frameworks such as React and Node.js.
  • Implement scalable data storage, retrieval, normalization, and processing across cloud platforms including Google Cloud Platform and AWS.
  • Collaborate with engineering, analytics, and ad operations teams to deliver accurate, privacy-compliant, reliable data solutions for reporting and downstream applications.
  • Monitor, troubleshoot, and optimize applications, APIs, data pipelines, and integrations for performance, scalability, and reliability.
  • Contribute to automated testing, CI/CD pipelines, and modern software development practices while applying privacy-by-design principles.
  • Use AI-assisted development tools to accelerate coding, testing, debugging, documentation, and infrastructure workflows.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service