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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal, Ad Tech Enablement - **Company:** Adobe Systems - **Location:** San Francisco, CA, United States - **Salary:** $191,800.0 - $277,750.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, JIRA, Big Data, Information Engineering, Automation of Marketing, Requirements Management, Adobe, Adobe Workfront, Data Analytics, Search Engines, Data Pipelines, Databricks - **Published:** July 6, 2026 - **Apply:** https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Principal--Ad-Tech-Enablement_R168991 ## About the Role * 13+ years in programmatic/digital ad operations: trafficking, ad server management (Flashtalking experience), tagging/measurement (adobe Launch experience), metadata/taxonomy, and end-to-end ad serving. * Demonstrated experience delivering and scaling AI and automation solutions in media operations- not just evaluating them. * Proven track record of global tool rollouts across multi-functional teams (agencies, buying desks, analytics, finance, creative). * Strong project management: requirements documentation, workback schedules, cross-functional alignment, and playbook creation. * Advanced analytics experience: MTA, large-scale datasets (Databricks a plus), working with log level data and translating data into actionable insights. * Advanced proficiency in workflow/ticketing platforms (Jira, Workfront, or equivalent); experience designing automated intake workflows. * Experience with DSPs, social buying platforms, and search engines from an ops and data perspective. About Adobe ## Description A new era integral senior role on our Global Marketing Organization! This person owns, operates, and continuously evolve AI-powered and automated solutions across the ad tech ecosystem including ad trafficking, taxonomy creation, metadata tracking, media activation, analytics and finance handoff. This role evaluates and adopts outstanding industry tools - integrating them into our global media ecosystem where appropriate - while also producing custom solutions where gaps exist. The person owns scalable ad tech capabilities as the primary product owner. They are responsible for global rollout across media strategy, buying desks, data analysis, asset creation, and financial teams., * Develop, productize, and operate capabilities based on artificial intelligence for end to end ad trafficking (across DSPs, social platforms and AdCloud), metadata/taxonomy. * generation, campaign QA, and media activation. Reducing manual setup and human error. * Produce GenAI-powered taxonomy and naming convention solutions; maintain and iterate on them as standards evolve. * Lead integration of adopted tools into the existing tech stack, ensuring compatibility with data pipelines, taxonomy standards, and team workflows. Develop playbooks and rollout schedule * Act as technical liaison across media, data engineering, and finance to reduce friction at key workflow intersections. * Continuously research and evaluate industry-standard ad tech, AI, and automation tools already in market (e.g., trafficking agents, GenAI metadata tools, analytics platforms, workflow automation). * Provide internal product feedback as a leader for Adobe-on-Adobe. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The AI-Fluent Team: A Playbook for Driving Enterprise AI Transformation](https://www.wearedevelopers.com/videos/100068-the-ai-fluent-team-a-playbook-for-driving-enterprise-ai-transformation) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 122 - Cracks in the polyfill](https://www.wearedevelopers.com/magazine/457-dev-digest-122-cracks-in-the-polyfill) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)