Principal, Ad Tech Enablement

Adobe; San Francisco (CA); On-site; USD 191,800 - 277,750; Full time

Job summary

Adobe is seeking a senior leader within the Global Marketing Organization to own AI-powered ad tech operations, automate workflows, and drive global rollout across trafficking, taxonomy, and analytics. You will partner with data engineering, finance, and creative teams to deliver scalable end-to-end solutions that reduce manual steps and error.

The role requires 13+ years in programmatic/digital ad operations, hands-on AI/automation delivery, and proven global tool rollouts across multiple

Qualifications

• 13+ years in programmatic/digital ad operations, trafficking, ad server management, tagging/measurement, and end-to-end ad serving.
• Demonstrated experience delivering and scaling AI and automation solutions in media operations.
• Proven track record of global tool rollouts across multi-functional teams (agencies, buying desks, analytics, finance).
• Strong project management: docs, schedules, cross-functional alignment, playbooks.
• Advanced analytics: MTA, large datasets, log-level data to insights.
• Experience with DSPs, social buying platforms, and search engines from ops/data perspective.

Responsibilities

• Develop, productize, and operate AI-based capabilities for end-to-end ad trafficking across DSPs, social platforms, and AdCloud.
• Produce GenAI-powered taxonomy and naming convention solutions; iterate on standards.
• Lead integration of adopted tools into the tech stack, ensuring data pipeline compatibility.
• Develop playbooks and rollout schedules; act as technical liaison across media, data engineering, and finance.
• Continuously research and evaluate industry-standard ad-tech, AI, and automation tools in market.
• Provide internal product feedback as a leader for Adobe-on-Adobe.

Skills

Programmatic ad operations

AI/automation in media

Global tool rollouts

MTA analytics

Databricks experience

Tools

Flashtalking

Adobe Launch

Databricks

Job description

Overview

A senior role on the Global Marketing Organization that owns, operates, and continuously evolves AI-powered and automated solutions across the ad tech ecosystem, including ad trafficking, taxonomy creation, metadata tracking, media activation, analytics, and finance handoff. This person evaluates and adopts industry tools, integrates them into the global media ecosystem where appropriate, and produces custom solutions when gaps exist. They serve as the primary product owner for scalable ad‑tech capabilities, responsible for global rollout across media strategy, buying desks, data analysis, asset creation, and financial teams.

Responsibilities

• Develop, productize, and operate AI-based capabilities for end‑to‑end ad trafficking (across DSPs, social platforms, and AdCloud), metadata/taxonomy generation, campaign QA, and media activation to reduce manual setup and human error.
• Produce GenAI‑powered taxonomy and naming convention solutions; maintain and iterate on these standards as they 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 schedules; act as a 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.

Qualifications

• 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 skills: 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.

Benefits & Compensation

Expected Pay Range: $138,600 – $277,750 annually (U.S.). The U.S. pay range for this position is $138,600–$277,750 annually. In California, the pay range is $191,800–$277,750; in NewYork, it is $191,800–$277,750. Compensation may vary by work location and may also depend on job‑related knowledge, skills, and experience.

Equal Opportunity Employer

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.