Search the 19 jobs at General Motors

The Principal Software Engineer will lead the design and implementation of a robust data ingestion and management system for AI platforms. Responsibilities include improving data infrastructure, building efficient data pipelines, automating ETL processes, and mentoring junior members.

Lead the development and execution of data architecture strategies within General Motors, focusing on creating data assets, developing data products, and implementing machine learning models. Collaborate with cross-functional teams to integrate data into products and ensure data quality and ecosystem health. Mentor team members while driving continuous innovation and best practices in data management and architecture.

The Chevrolet District Sales Manager is responsible for managing dealership relationships, implementing marketing initiatives, and ensuring customer satisfaction. This role involves frequent travel to dealerships and requires skills in sales, customer service, data management, and conflict resolution. The candidate should be adaptable, communicative, and have strong presentation skills.

The Manager of GM Rewards Customer Value Strategy leads a team focused on enhancing customer experiences in the GM Rewards loyalty program. This role involves monitoring customer interactions, targeting improvements through technology updates, and managing financial metrics related to member value, all while ensuring strong team performance and engagement with cross-functional teams.

The Staff Scientist will lead the development of AI/ML solutions to enhance GM's customer experience and profitability. Responsibilities include collaborating with stakeholders, mentoring data scientists, developing data analytics models, and communicating findings to influence decision-making.

The Manufacturing Talent Acquisition Lead is responsible for leading a team of recruiters to fulfill hiring needs for skilled and non-skilled trades. Key responsibilities include delivering quality hires, collaborating with business leaders, managing team performance, and leading change through data and analytics. A strong focus on industry trends and recruitment strategies is essential.

The Manufacturing Talent Acquisition Lead will oversee a team of recruiters, drive effective hiring strategies, and collaborate with leadership to meet recruitment goals. Responsibilities include developing metrics for performance, enhancing team skills, and understanding market trends, while ensuring a positive experience for stakeholders.

This role involves building relationships with hiring leaders and developing recruiting strategies to fill complex manufacturing positions. The recruiter will source and screen candidates, execute onboarding processes, and work closely with HR to ensure hiring objectives are met, focusing on diversity and continuous improvement in recruiting efforts.

As a Vehicle Dynamics Simulation Engineer, you will develop multibody vehicle models using Modelica Libraries in Dymola, optimize models for Driver-in-the-Loop applications, and collaborate with various engineering teams to validate model results, enhancing GM Motorsports' simulation capabilities.

As a Vehicle Dynamics Simulation Engineer, you will develop and maintain multibody vehicle models using Modelica and Dymola, collaborate on simulation requirements, optimize models for real-time applications, and implement advanced simulation techniques to enhance GM Motorsports' tools and strategies.

The Senior Machine Learning Engineer will build and scale LiftIQ, a marketing optimization platform, focusing on machine learning data products for experimentation, measurement, and personalization. Collaborating with cross-functional teams, they will optimize marketing initiatives through efficient system design and code best practices, while providing technical leadership and stakeholder management.

As an HR Analyst, you will manage analytics projects and deliver insights to HR teams, developing reports and using statistical analysis to influence strategic talent decisions. You'll work closely with stakeholders, translating business requirements into technical specifications, and drive the adoption of People Analytics solutions.

As a People Analytics Consultant focused on Talent Acquisition, you will deliver insightful analytics that help drive talent strategy, improve organizational effectiveness, and enhance the employee experience. Responsibilities include supporting analytics projects, providing insights on recruitment effectiveness, and developing relationships with stakeholders to create actionable recommendations based on data analysis.

The Group Product Manager will lead the creation of data products and analytic solutions for marketing, driving the vision and roadmap while working cross-functionally to enhance data-informed decision-making. Responsibilities include developing reports, managing stakeholder relationships, leading a team of analysts and engineers, ensuring quality deliverables, and fostering continuous learning.

The Staff Machine Learning Engineer will lead the development of LiftIQ, a marketing optimization platform. They will collaborate with cross-functional teams to design scalable ML products, ensure high delivery quality, mentor team members, and drive strategic roadmaps to enhance marketing initiatives.

The Retail Innovation Manager leads a team to implement the Digital Retail Platform for dealership sales and customer experiences. Responsibilities include guiding dealerships through implementation, facilitating employee immersion into new retail models, and monitoring progress. The role requires strong sales and marketing skills with a focus on customer experience and data analytics.

As a Senior Data Engineer, you'll collaborate with teams to develop analytics-driven data products, automate data processes, and drive cloud-first solutions while ensuring compliance with data privacy. You will leverage advanced engineering practices and maintain effective communication with cross-functional teams to support business analytics goals.

Responsible for designing, developing, and maintaining AI/ML platform infrastructure, enhancing capabilities for training models on large datasets, and collaborating with cross-functional teams for integration of new features.

Lead the People Analytics Solutions team focusing on HR data engineering and analytics. The role involves strategic roadmaps for data architecture, managing analytics platforms, developing visualization standards, and advising on data governance in HR processes.