Job Description

The Role 

As a Senior Ad Ops Engineer within the Marketing Applied Sciences organization, you willbe responsible forarchitecting 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 alsobe responsible forimplementing 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 withthird-partymarketing platforms and APIs, support data discovery across inconsistent partner datasets, and build solutions that provide clean, trustworthy data for activation, measurement, and optimization.

WhatYou’llDo 

• Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard orsemi-structuredpartner 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 forlog-leveldata, event streams, pixel files, and othermarketing specificformats • 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, ora relatedtechnical field.

• Experience with real-time or streaming pipelines for marketingactivation • Experience with Databricks Mosaic AI andLLMOpsworkflows • Familiarity with multi-touch attribution, incrementality, or identityresolutiondatasets • 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 incentivepayprogram 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, tuitionassistanceprograms, employeeassistanceprogram, 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). This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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