Lead Ad Operations Engineer

Job Description

The Role

We are seeking a Lead Ad Operations Engineer to join our Marketing Applied Sciences organization, where you will spearhead the design and development of cutting-edge, efficient, and reusable data products that drive marketing campaigns, analytics, and insights. Your expertise will be vital in handling marketing platform data, partner data feeds, and unconventional data formats to construct robust, scalable data pipelines and storage solutions.

Your responsibilities will include implementing automated quality assurance processes and validation frameworks—utilizing advanced LLM-powered agents focused on ensuring data consistency, anomaly detection, and schema integrity. These validation systems will be integrated directly into production pipelines to maintain accuracy, observability, and compliance across all marketing datasets.

In this role, you will also integrate with third-party marketing platforms and APIs, facilitate data discovery across diverse partner datasets, and create solutions that deliver reliable, trustworthy data for activation, measurement, and optimization.

What You'll Do

• Design, develop, and enhance data pipelines for marketing and advertising datasets, including atypical or semi-structured partner formats
• Implement effective data models, storage designs, and orchestration workflows to support campaign activation, attribution, measurement, and analytics
• Establish and oversee automated data quality and validation frameworks leveraging LLM-based and rules-based methodologies
• Integrate and normalize data from various marketing platforms, digital agencies, and third-party partners to ensure performance and consistency
• Create ingestion tools for log-level data, event streams, pixel files, and other marketing-specific data formats
• Develop and adhere to data governance standards including data lineage, schema tracking, and compliance with privacy regulations
• Enhance operational stability through observability in pipelines, incorporating logging, monitoring, and anomaly detection
• Collaborate with diverse teams to translate marketing data needs into scalable, production-ready engineering solutions

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree (Master's preferred) in Computer Science, Data Engineering, Information Systems, or a related discipline
• 5+ years of extensive experience in data engineering, advertising technology, or marketing data engineering
• 2+ years of direct involvement with digital advertising, marketing analytics, or activation platforms
• Familiarity with marketing or ad tech ecosystems such as Yahoo, Google, Meta, The Trade Desk, Adobe, Salesforce, or similar platforms
• Proficient in Python, SQL, and distributed data frameworks like PySpark
• Practical expertise with unconventional marketing data formats, including ad server logs, event streams, and partner exports
• Experience with modern data platforms such as Databricks, Snowflake, Kafka, dbt, or Airflow
• Experience architecting solutions within cloud environments (Azure preferred; AWS/GCP acceptable)
• Strong knowledge of data modeling, warehousing, governance, and reliability practices
• Experience in developing automated data quality validation systems, including LLM-driven or rules-based frameworks
• Capacity to convert complex marketing data requirements into scalable engineering solutions ready for production

What Will Give You A Competitive Edge (Preferred Qualifications)

• Master's degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a similar technical field
• Experience with real-time or streaming data pipelines for marketing initiatives
• Knowledge of Databricks Mosaic AI and LLMOps workflows
• Understanding of multi-touch attribution, incrementality, or identity resolution datasets
• Experience processing large-volume partner or agency data deliveries
• Familiarity with Pseudonymous Identity services

The salary range for this position is $129,400 to $198,400, and the actual base salary will be determined based on relevant factors. In addition, the role includes a bonus potential based on individual and company performance.

Benefits include a variety of health and wellness programs, retirement savings plans, tuition assistance, and GM vehicle discounts. Please note that GM does not provide immigration-related sponsorship for this role.

This position is categorized as remote. Selected candidates may work from any location within the country and are not required to report to a GM site unless instructed by management. Candidates will not be entitled to relocation benefits; any associated costs are the responsibility of the selected candidate.

About GM

We envision a world with Zero Crashes, Zero Emissions, and Zero Congestion and commit to leading change to create a safer, better, and more equitable future for everyone.

Why Join Us

We believe in the importance of choice, and we strive to make every employee feel they belong to the General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is dedicated to a workplace free of unlawful discrimination, promoting inclusion and belonging. All employment decisions will be made without any consideration of sex, race, color, national origin, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status, or other protected status in compliance with applicable laws.

We encourage candidates to review the job responsibilities and qualifications and apply for any positions that align with their skills. Applicants may be required to participate in a role-related assessment or pre-employment screening.

Accommodations

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We are committed to making the world better through our actions and fostering a diverse team that delivers on our vision. Explore our global locations for more information.