Descripción
The Role
As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you will be responsible for architecting and developing advanced, well managed, and reusable data products that support marketing activation, analytics, and insights. You will work extensively with marketing platform data, partner data feeds, and non-standard data formats to build reliable, scalable data pipelines and storage solutions. This role requires deep hands-on experience with marketing ecosystems, digital advertising data structures, and agency or platform-side operations.
You will also be responsible for implementing automated data quality and validation frameworks, including LLM-powered agents focused solely on data consistency, anomaly detection, and schema integrity. This includes integrating these validation systems directly into production pipelines to ensure accuracy, observability, and compliance across all marketing datasets.
Additionally, the Senior Ad Ops Engineer will integrate with third-party marketing platforms and APIs, support data discovery across inconsistent partner datasets, and build solutions that provide clean, trustworthy data for activation, measurement, and optimization.
What You’ll Do
• Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats
• Implement data models, storage patterns, and orchestration workflows that support campaign activation, attribution, measurement, and analytics
• Build and maintain automated data quality and validation systems using LLM-based and rule-based approaches
• Integrate and normalize data from marketing platforms, digital agencies, and third-party partners, ensuring performance, reliability, and consistency
• Develop ingestion frameworks for log-level data, event streams, pixel files, and other marketing specific formats
• Establish and maintain data governance practices including schema tracking, lineage awareness, metadata standards, and privacy compliance
• Build observability into pipelines with logging, monitoring, and anomaly detection for operational stability
• Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions
Your Skills & Abilities (Required Qualifications)
• Bachelor’s degree (Master’s preferred) in Computer Science, Data Engineering, Information Systems, or a related technical field
• 5+ years of experience in data engineering, advertising technology engineering, or marketing data engineering
• 2+ years of experience working with digital advertising, marketing analytics, digital agencies, or marketing activation platforms
• Experience with marketing or ad tech ecosystems such as Yahoo, Google, Meta, The Trade Desk, Adobe, Salesforce, or similar
• Proficiency in Python, SQL, and distributed data frameworks such as PySpark
• Hands-on expertise working with non-standard marketing data formats, including log-level ad server files, event streams, pixel data, or partner exports
• Experience with modern data platforms such as Databricks, Snowflake, Kafka, dbt, or Airflow
• Experience architecting solutions in cloud environments (Azure preferred; AWS/GCP acceptable)
• Strong understanding of data modeling, warehousing, governance, schema evolution, and data reliability practices
• Experience building automated or agentic data quality validation systems, including LLM-driven or rules-based frameworks
• Ability to translate complex marketing data needs into scalable, production-ready engineering solutions
What Will Give You A Competitive Edge (Preferred Qualifications)
• Master’s degree in Computer Science, ML Engineering, Data Engineering, Information Systems, Mathematics, or a related technical field.
• Experience with real-time or streaming pipelines for marketing activation
• Experience with Databricks Mosaic AI and LLMOps workflows
• Familiarity with multi-touch attribution, incrementality, or identity resolution datasets
• Experience processing large-scale partner or agency data deliveries
• Experience working with Pseudonymous Identity services
The salary range for this role is ($129,400 - $198,400). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)
Este puesto se clasifica como remoto. Esto significa que el candidato seleccionado puede estar destinado en cualquier lugar del país de trabajo y no se espera que se presente en un lugar de trabajo de GM a menos que se lo indique su líder.
El candidato seleccionado deberá viajar menos del 25 % del tiempo para este puesto.
Este puesto no es elegible para beneficios de reubicación. Los posibles costos de relocalización serán responsabilidad del candidato seleccionado.
Información sobre diversidad
General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.
Declaración de igualdad de oportunidades en el empleo (EE.UU.)
General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.
Adecuaciones (EE.UU. y Canadá)
General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.
