Search the 32 jobs at General Motors

The Senior Manager of Marketing Analytics & Insights transforms raw marketing data into actionable insights, optimizes marketing strategies, and develops frameworks to track KPIs. This role includes leading technical teams, creating data products, and leveraging data-driven insights to enhance campaign performance while mentoring analytics practitioners.

The Senior Software Engineer will lead the development of a Marketing optimization platform, mentor junior engineers, build scalable services for large data processing, and ensure high-quality coding standards. This role involves collaboration with various stakeholders and requires staying updated with industry trends.

The AI/ML Scientist Manager will lead the deployment of AI solutions, develop frameworks and methodologies for AI operations, mentor a team of ML engineers, and collaborate with various teams to transition AI projects from PoCs to production. The role emphasizes hands-on coding, code quality assurance, and staying updated on AI advancements.

The AI Center Technical Manager will lead a team of ML engineers, focusing on developing frameworks for AI model deployment, overseeing the integration of AI solutions across the organization, and ensuring code quality and compliance. The role involves hands-on coding, mentoring, and collaboration with various teams to transition AI models from PoCs to production.

As a Principal Software Engineer, you will lead the design and implementation of data ingestion and processing systems for our AI platform, ensuring scalability and performance. Responsibilities include developing data access layers, automating ETL processes, and mentoring junior engineers while enhancing data infrastructure.

The Staff Data Scientist is responsible for developing and implementing advanced marketing analytics models, integrating various data sources, and optimizing audience targeting strategies to drive sales for GM. They will work closely with stakeholders to ensure effective marketing approaches and present insights through data visualization.

The Principal Software Engineer will enhance the infrastructure supporting Machine Learning workloads, focusing on optimizing Kubernetes and Kubeflow, collaborating with cross-functional teams, troubleshooting HPC issues, and implementing best practices for system monitoring and health.

In this role, you will build analytical data sets and collaborate with researchers and data scientists to deliver analytics products, focusing on cloud-first technologies, automation of data processes, and continuous learning within the team.

The Staff Machine Learning Engineer is responsible for leading the development of LiftIQ, a Marketing Experimentation and Optimization Platform. The role involves collaborating across teams to create scalable ML products, enhancing marketing initiatives through data analysis, and fostering best practices in ML engineering.

In this role, you will design, develop, and maintain AI/ML platform infrastructure. Responsibilities include developing scalable systems for machine learning model training, implementing resource monitoring for multi-GPU environments, enhancing platform APIs, and collaborating with teams for feature integration.

Lead the development and execution of GM's data architecture strategy focusing on creating data assets and deploying ML models. Oversee the integration of data products into applications while ensuring collaboration with cross-functional teams. Drive continuous innovation in data architecture and machine learning practices, mentoring a skilled team to deliver actionable insights and effective monetization opportunities.

As a Cloud Solution Architect, you will lead the development of data architecture and strategy, oversee the deployment of data products and machine learning models, and ensure integration with applications. Continuous innovation and hands-on leadership in creating data assets and mentoring teams are key aspects of this role.

The AI/ML Scientist Manager will develop frameworks for AI model deployment, lead a team of ML engineers, and collaborate with data scientists to transition projects from proofs of concept to production. Responsibilities include overseeing AI solution deployment, ensuring code quality, managing ML operations with ML Flow, and fostering innovation within the AI Center.

The Field Service Engineer provides on-site technical support for automotive and computer issues at GM dealerships. Responsibilities include vehicle diagnostics, support for escalated cases, territory management, and collaboration with dealership personnel to improve service processes and reduce vehicle repurchases.

The Sr. Cybersecurity Engineer- Controls Assurance is responsible for leading assessments of IT controls across various platforms, ensuring compliance with legal and regulatory requirements. The role involves project leadership, interaction with technical personnel, data analysis, and adherence to auditing methodologies and quality assurance processes.

As a Senior Data Scientist at GM Motorsports, you will develop and deploy analytic models and machine learning algorithms. Working with a cross-functional team, you'll analyze large datasets to solve complex business challenges and support race teams with data-driven solutions. Close collaboration with software engineers and data engineers is essential to ensure project success.

The Senior Cyber Security Engineer will lead application onboarding into the IAM systems, ensuring security and compliance. Responsibilities include technical leadership, strategy development, collaboration with stakeholders, process improvement, risk assessment, mentorship, and maintaining documentation.

As a Marketing Measurement Strategist, you will lead the delivery of marketing mix model insights for Chevrolet, quantifying sales impact and optimizing media spend. Your role involves media analysis, advising on media planning and budget optimization, and conveying complex insights to internal stakeholders, while building collaborative relationships across teams.

The Channel Sales Manager will identify, recruit, and manage key channel sales partners for GM Energy's residential products. Responsibilities include developing partner agreements, training partners, coordinating sales efforts, and tracking performance metrics to meet sales goals.

The Sr. HR Business Partner will collaborate with leaders and HR teams to implement HR solutions that align with GM's IT strategy. Responsibilities include coaching leaders, optimizing organizational design, driving high-performance culture, managing talent, and facilitating employee development while focusing on diversity and inclusion.