careers_gm

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:   Our Company Our Culture How we hire​​​​​​​ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.   Explore our global location s

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👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNewsContentSocial NetworkSocial Media
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Jobs at this company:

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📍 United States

💸 157800.0 - 241800.0 USD per year

🔍 Automotive

  • 7+ years of experience in data engineering, architecture, analytics, science, or BI applications.
  • 5+ years of experience in leading data transformation in People Analytics/HR.
  • 3+ years of experience successfully leading teams.
  • Strong understanding of HR data and employee lifecycle processes.
  • Knowledge of People Analytics technology including cloud data infrastructure.
  • Experience with SQL, R, Python and data visualization tools.
  • Experience implementing HR data governance frameworks.

  • Develop and implement People Analytics Solutions strategy & roadmap.
  • Build data environment and technology stack for People Analytics teams.
  • Lead implementation of new analytics solutions.
  • Develop enhanced dashboard data sharing and security model governance.
  • Advance AI/ML capabilities using modeling techniques.
  • Work closely with HROS, IT teams, and vendors.

PythonSQLData engineeringData scienceData visualizationData analytics

Posted 13 days ago
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📍 United States of America

🧭 Full-Time

🔍 Automotive

  • Bachelor’s degree or 2+ years of experience in the automotive industry in lieu of a degree.
  • 2+ years in sales and customer service.
  • Able to travel 100% and be mobile now and in the future and able to relocate anywhere within the United States.
  • Ability to legally operate a motor vehicle on a regular basis.

  • Act as a liaison between GM, its dealerships, and additional GM Partners.
  • Grow and foster partnerships.
  • Facilitate mentorship and consulting to ensure monthly/yearly sales objectives are met.
  • Track dealership Customer Satisfaction Index (CSI) or other customer feedback resources to identify and address deficiencies or opportunities.
  • Assist in product launches to ensure streamlined marketing and advertising between dealer, independent aftermarket (IAM) and GM.
  • Monitor Dealership personnel training and ensure compliance with GM requirements/objectives.
  • Assist with Dealership inventory management, including vehicle and or parts ordering and inventory stabilizing.
  • Analyze Dealer sales, local market, and competition to identify revenue opportunities.
  • Increase sales of GM vehicles and Accessory parts to its customers.
  • Assist in customer problem resolution.
  • Travel to your dealers in your designated region.

Customer serviceRelationship managementSales experienceMarket ResearchFinancial analysis

Posted 14 days ago
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📍 Germany

🔍 Automotive

  • Bachelor's degree in business administration, marketing, or related field
  • 6+ years of proven experience in B2B sales in the automotive industry, with a focus on fleet business
  • Excellent leadership and people management skills
  • Strong communication, negotiation, and interpersonal skills
  • Proven track record of meeting or exceeding sales targets in the fleet business
  • Analytical and problem-solving skills with attention to detail
  • Ability to work independently and as part of a team
  • Proficient in Microsoft Office and CRM software

  • Develop and execute sales plans and strategies to achieve revenue targets and increase market share in the fleet business
  • Identify and pursue new business opportunities and partnerships within the fleet industry
  • Establish and maintain strong relationships with key customers, fleet management companies, and leasing companies
  • Coordinate a team of sales representatives to achieve individual and team targets in the fleet business
  • Analyze market trends and competitive activity to identify areas for growth and improvement in the fleet business
  • Collaborate with cross-functional teams including marketing, product development, and operations to ensure alignment of sales strategies with company objectives
  • Monitor and report on sales performance, budget, and expenses in the fleet business
  • Continuously improve the sales process and provide coaching to the team to enhance their skills and performance in the fleet business

LeadershipBusiness DevelopmentData AnalysisAnalytical SkillsProblem SolvingSales experienceMarket ResearchCRM

Posted 15 days ago
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📍 Canada

🔍 Automotive

  • 5 years of relevant work experience, preferably as a District Sales Manager.
  • Excellent communication, interpersonal, and leadership skills.
  • Outstanding analytical abilities combined with strong decision-making skills.
  • Ability to work independently and in cross-functional environments.
  • Understanding of OEM distribution processes, field sales tools, and reports.
  • Willingness to travel and work extended hours as required.
  • Valid Driver’s License.

  • Achieve retail sales and share objectives for the District through action plans.
  • Identify sales opportunities and develop strategies to maximize vehicle ordering coverage.
  • Drive Accessories revenue and OnStar activations.
  • Improve customer focus and satisfaction within the Dealers.
  • Manage customer complaint issues and improve the retail digital customer experience.

LeadershipAnalytical SkillsProblem SolvingCustomer serviceRelationship buildingNegotiation skillsCross-functional collaborationSales experienceMarket Research

Posted 16 days ago
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📍 United States of America

🧭 Full-Time

🔍 Automotive

  • Bachelor’s degree in marketing, Data Science, Economics, Computer Science, Applied Mathematics or related field.
  • 5-8+ years of experience in analytics, data science, or quantitative insights.
  • 2+ years of experience successfully leading technical teams.
  • Knowledge of data mapping, causal modeling, experimental design, and customer journey analysis.
  • Strong project management skills and excellent communication abilities.

  • Develop the vision and create reports for marketing and other relevant channels.
  • Drive a strategic roadmap with executable outcomes to provide business value.
  • Lead a team to create data products and analytics that support business decisions.
  • Work cross-functionally with departments to ensure stakeholder engagement and satisfaction.

LeadershipProject ManagementSQLBusiness IntelligenceData AnalysisData scienceAnalytical SkillsReportingData visualizationStakeholder management

Posted 18 days ago
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📍 United States

🔍 Automotive

  • Bachelor's degree required.
  • 3+ years of professional experience, with 2-3 years in Advanced Analytics or Audience Building Strategies.
  • Excellent written, verbal, presentation, and interpersonal skills.
  • Proven capability to think systemically, strategically, and analytically.
  • Strong team building and project leadership skills.
  • Experience utilizing analytical software tools and packages.

  • Lead the relationship with the MediaONE team, understand their processes and business needs.
  • Translate goals into a roadmap for audience development, testing, and adoption of MAS models.
  • Drive forward test and learn roadmap in partnership with Media, Brand, and other stakeholders.
  • Elevate findings to a strategic level and convey complex stories to internal stakeholders.
  • Build and manage relationships with cross-functional stakeholders to identify key marketing and media questions.

Project ManagementSQLData AnalysisCommunication SkillsAnalytical SkillsCollaborationPresentation skillsData visualizationData analytics

Posted 23 days ago
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🔥 Staff Scientist
Posted 27 days ago

📍 United States of America

🔍 Automotive

  • 10+ Years of professional experience in the area.
  • Bachelor's degree in computer science, engineering, statistics, mathematics, physics, econometrics, or related degree.
  • Master’s degree in computer science, engineering, statistics, mathematics, physics, econometrics, or related degree.
  • Expert knowledge and experience in areas such as numerical optimization, econometric modeling, machine learning, Bayesian statistics, etc.
  • Experience analyzing source system data, working with structured and unstructured data.
  • Manipulating high-volume, high-dimensionality data to identify patterns, anomalies, relationships, and trends.
  • Technical knowledge in analytic tools and languages (Python, R, etc.), deep learning frameworks (TensorFlow), cloud platforms (Databricks, Azure), data management (Postgres), and data visualization tools (Power BI, Tableau).

  • Collaborate with business stakeholders, product managers, and data science teams to develop actionable, high-impact data analytical models and insights.
  • Lead and mentor other scientists to drive high-quality analytical products in a timely manner.
  • Direct the working team’s approach, balancing delivery quality, speed-to-market, and scalability.
  • Develop leading solutions through problem framing, data requirements identification, data exploration, robust model selection, and productionization.
  • Identify opportunities for data utilization and design data science solutions supporting business decisions.
  • Ensure consistent progress towards solution development and business adoption through collaboration.
  • Communicate findings and recommendations clearly to influence senior leaders, promoting data-driven decision-making.
  • Stay current with advancements in data science, AI, and machine learning, mentoring team members.

LeadershipPythonJavaMachine LearningTableauAzureData scienceAngularPostgresReactSparkTensorflowMentoringData visualizationData analytics

Posted 27 days ago
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📍 United States

🧭 Full-Time

🔍 Automotive

  • 5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies.
  • Strong problem-solving and analytical skills with experience analyzing large scale customer event data products.
  • In-depth knowledge of industry-standard Data Engineering practices, including data privacy & security, ETL/ELT, and data quality assurance.
  • Expert programming skills in platforms such as Azure, Databricks, Spark, Python, SQL, and GitHub.
  • Effective communication and collaboration skills with cross-functional teams.
  • Experience working in an Agile development environment.

  • Collaborate with the MAS team functions to develop data products for analytics solutions.
  • Design and develop data products compliant with data privacy and security policies.
  • Drive adoption of cloud-first technologies and industry-standard Data Engineering practices.
  • Automate new and existing data processes, eliminating manual effort.
  • Stay updated with emerging trends and technologies to find improvement opportunities.
  • Promote a culture of continuous learning within the team.

PythonSQLAgileETLStrategyAzureData engineeringRelease ManagementSparkAnalytical Skills

Posted 2 months ago
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📍 United States

🧭 Full-Time

💸 157800 - 241800 USD per year

🔍 Automotive

  • Bachelor’s degree in computer science, Data Science, Applied Mathematics, or related quantitative field.
  • 5-8+ years of experience in full stack software development, machine learning, and data science.
  • Strong programming skills in Python and Spark.
  • Proficiency in full stack development using React and D3.
  • Expertise in a variety of ML algorithms.
  • 2+ years of experience leading technical teams.
  • Understanding of experimental design principles.
  • Strong project management skills.

  • Work closely with Data Scientists, Engineers, and Product Owners to build a system for marketing optimization.
  • Design and engineer scalable ML platforms and software products.
  • Participate in design, architecture, and code reviews.
  • Improve ML engineering best practices, documentation, and monitoring.
  • Drive strategic roadmaps with executable outcomes.
  • Ensure high-quality deliverables and develop staff.

Project ManagementPythonSoftware DevelopmentMachine LearningAlgorithmsData scienceData StructuresReactSparkCommunication SkillsCollaboration

Posted 3 months ago
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