Senior Ad Ops Engineer

Job Description

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/Google Cloud Platform 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).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.
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