General Motors

DevOps Engineer

• Own rear seat structures and key components from concept through launch and production
• Define system requirements and develop SORs for rear seat structure subsystems
• Lead design, integration, technical reviews, and trade-off studies
• Define and maintain Interface Control Documents and resolve interface conflicts
• Lead Product Development Teams, including timing, parts lists, DFM/DFMA, issue tracking, and risk mitigation
• Release production designs meeting regulatory, performance, quality, and commodity requirements
• Conduct engineering and design reviews for GVDP milestone readiness
• Serve as primary technical interface with program teams, plants, suppliers, CAE, validation, purchasing, and quality
• Lead vehicle-program launches at assembly plants and supplier facilities
• Provide build support, issue resolution, and change management
• Lead problem-solving for cost, quality, safety, and warranty issues and drive corrective actions

Design and Release Engineer – Seat Structure

Software Engineer

• Lead product development and Core Engineering/integration activities within the Seat Core Engineering team
• Develop seat variants for vehicle programs using engineering tools and processes
• Achieve program milestones through rigorous program management
• Design, develop, analyze, implement, and validate complex seat subsystems
• Perform engineering design evaluations and concept development using a Design for Six Sigma approach
• Use DFMEA, ICDs, PFMEA, and CAE collaboration to develop system design solutions
• Complete DFMEAs on time and with quality
• Package components and manage CAD development through suppliers or GM designers
• Collaborate with vehicle systems and cross-functional teams on configuration, cost optimization, customer requirements, and product/process improvements
• Balance cost, mass, complexity, timing, and content
• Communicate with internal and external customer organizations and lead the Product Development Team
• Track and resolve open issues
• Review, support, and apply benchmarking for competitive design direction
• Support the SVI team through early engagement
• Understand customer needs and architecture limitations
• Integrate components, occupants, and seating systems
• Develop reuse strategies and reduce component variants across seating systems
• Develop comfort, craftsmanship, quality assembly, and closeout improvements
• Support virtual validation goals
• Incorporate lessons learned and continuous improvements from physical validation and builds

DRE – Seat Core Engineering

• Define requirements, design, engineer, develop, release, launch, and provide technical leadership for seating system components
• Develop, refine, and finalize design criteria and typical sections using vehicle math data
• Develop and support Statements of Requirements for seat system components with subject matter experts
• Lead and support component design and technical reviews for design fidelity and program compliance
• Define Interface Control Document requirements, negotiate interface agreements, and resolve cross-functional issues
• Lead or support Product Development Team activities, including timing, parts lists, Design for Manufacturing, and issue tracking
• Evaluate design alternatives and recommend solutions based on cost, mass, timing, assembly, complexity, and commodity requirements
• Release production designs on schedule and conduct engineering reviews to confirm 100% design fidelity
• Communicate technical information across internal teams, customers, suppliers, and manufacturing organizations
• Lead launch activities for new vehicle programs at GM assembly plants, Tier 1 seating plants, and applicable Tier 2 suppliers

Design Release Engineer – Seat Components

Systems Engineer

• Lead and manage development and integration of embedded AV/ADAS features
• Define and manage feature-level requirements and validation test development
• Collaborate with software and hardware teams to integrate vehicle platform components
• Influence platform roadmaps and long-term technical direction
• Own capabilities end to end and test performance in vehicles and simulation
• Participate in or lead multifunctional development discussions with software teams, capability domains, product management, program management, and partners
• Analyze and negotiate requirements with internal and external stakeholders
• Focus on feature performance and lead technical solutions
• Test and integrate system- and feature-level capabilities using simulation and vehicles
• Triage and analyze simulation and vehicle test data to guide prioritization and refine requirements
• Form test cases for validation plans traced to feature requirements
• Communicate issues and support problem solving and workload prioritization
• Apply structured technical reasoning to solve problems in familiar and unfamiliar domains
• Work within agile development and respond to fast-paced changes
• Identify risks and develop mitigation strategies for system integration and performance
• Mentor junior engineers and foster technical excellence and innovation

Senior Systems Engineer – ADAS DRIVE

Sales

• Build and maintain vehicle configuration and specification tables for order processing
• Execute specification changes through the formal Spec Change process
• Own the Startup Program Management Calendar and track launch milestones
• Represent Order Fulfillment in cross-functional launch meetings
• Create and maintain pattern orders for Retail and Company Vehicle Operations
• Analyze and calculate vehicle constraints and validate assumptions
• Manage vehicle allocations, production constraints, and funding
• Monitor and resolve vehicle order processing issues and drive corrective actions
• Partner with Marketing, Sales, Product, Launch, and Order Fulfillment teams

Specification Manager – GMNA Sales, Order Planning

• Define requirements and execute design, analysis, development, testing and management of engineering projects for active safety components
• Serve as Design Release Engineer for ADAS cameras, including hardware and calibrations
• Understand system-level functionality and root-cause issues
• Organize and drive design-for-manufacturing initiatives
• Develop component technical specifications, statements of requirements and subsystem technical specifications
• Lead formal design, peer and quality reviews
• Lead technical issue resolution and product development team meetings
• Lead and manage supplier resident engineers
• Support Purchasing sourcing activities and vehicle FMEA activities
• Act as the primary GM engineering interface with component suppliers
• Ensure vehicle program cost, timing, investment and quality imperatives are met
• Generate technical solutions for current, new and major programs
• Provide technical leadership for advanced technology development and perform complex design and packaging analysis
• Develop engineering designs and implement engineering changes
• Maintain engineering authority documents and math data
• Implement cost reduction, methods and product improvements and support build programs
• Plan and implement validation and development programs
• Release parts and subsystems for production
• Coordinate with engineering, manufacturing, suppliers, plant personnel and other departments
• Stay abreast of new technology and competitive products

ADAS Design Release Engineer, Cameras

Financial Planning and Analysis

• Support the Program Investment Management desk within Global Capital Management
• Lead monthly forecast reviews with management, MIMs, ME Chiefs, and program teams
• Reconcile program forecasts to scorecard expectations and identify variances, risks, trends, and actions
• Improve forecast accuracy through assumption reviews, historical analysis, forecast-to-actual evaluation, and corrective actions
• Maintain visibility into forecasts, funding requirements, and checkbook activity across CAPEX and OPS
• Coordinate and execute approved funding movements and support funding-release execution with Global Business Services
• Partner with manufacturing, engineering, program teams, finance leadership, and cross-functional stakeholders
• Own continuous improvement of AI-augmented PIM and manufacturing investment reporting
• Develop standardized reporting and use AI, automation, and advanced analytics to identify anomalies and trends
• Validate AI-generated insights using source data, forecast versions, assumptions, and business context
• Build drill-down reporting views from management results to program, account, or driver level
• Track recurring forecast issues and recommend process, data, or system improvements
• Partner with Future of Finance teams on OneStream, Finance360, planning, reporting, data, and AI capabilities
• Translate stakeholder needs into business requirements, reporting enhancements, data-quality priorities, and user stories
• Participate in design reviews, testing, user acceptance, implementation, and adoption activities
• Mentor less-experienced analysts and lead cross-functional improvement initiatives

Finance Investment Analyst – PIM Analyst

Operations

• Empower a cohesive and adaptable team of Zone and District Managers integrating parts and service functions
• Serve as a trusted advisor to Zone and District Parts and Service Managers
• Drive revenue growth, KPI performance, and execution of Customer Care and Aftersales programs
• Identify, address, and resolve business needs involving inventory management, warranty, customer experience, retention, training, and electric vehicle compliance
• Develop, implement, and document action plans addressing performance gaps, business challenges, and emerging opportunities
• Partner with regional and field teams to align execution with business goals, performance metrics, and action plans
• Support initiatives including training, coaching, process integration, tools development, performance and analysis reports, and business planning
• Travel at least 50% or more frequently to dealerships within the assigned territory

Fixed Operations Specialist

Engineering Manager

• Lead, develop, and inspire a team of data engineers and technical leads.
• Set the roadmap, priorities, and execution strategy for engineering data products.
• Translate engineering, analytics, and machine learning needs into scalable delivery plans.
• Guide data ingestion, processing, transformation, cataloging, quality, and publication.
• Establish reusable patterns for raw, normalized, and analytics-ready data layers.
• Drive data quality, observability, lineage, governance, security, and operational readiness.
• Partner with vehicle engineering, calibration, diagnostics, performance engineering, data science, platform engineering, and product teams.
• Prioritize competing requests and manage scope, dependencies, risks, and delivery commitments.
• Support multiple data formats and high-volume engineering, telemetry, time-series, and test data.
• Promote reusable architecture and reduce duplicate pipelines across engineering organizations.
• Establish production support practices, incident response, runbooks, service health metrics, and continuous improvement.
• Champion automation, infrastructure as code, continuous integration and delivery, testing, and secure cloud deployment.
• Communicate technical strategy, delivery status, tradeoffs, and risks to senior leadership.
• Build relationships with internal customers and ensure data products are discoverable and usable.
• Develop talent through coaching, feedback, career planning, and meaningful technical opportunities.
• Lead change management as the platform expands to new data sources, users, and use cases.

Data Engineering Manager

Manager

• Drive aftersales performance across a defined region
• Partner with dealership leadership to execute GM Customer Care & Aftersales initiatives
• Improve customer satisfaction and grow revenue
• Report to the Zone Manager, Parts and Service
• Own district performance across revenue, customer retention, and customer experience
• Advise dealer leadership and foster strategic partnerships
• Execute CCA programs and initiatives to achieve KPIs
• Lead standardized dealer contact processes
• Analyze dealership marketing and merchandising strategies and recommend ways to increase service lane traffic
• Develop and execute annual business plans using data-driven insights
• Assess dealership performance, identify trends, and implement solutions improving efficiency and customer satisfaction
• Resolve aftersales customer concerns involving SPAC, CAC, TAC, goodwill, warranty, and policy requests
• Monitor KPIs including SRT objectives, NPS, customer retention, STS compliance, and EV training and compliance
• Apply expertise in automotive parts and service operations, dealer operating reports, fixed operations analysis tools, profit department structures, and consultative selling

District Manager – Parts & Service

• Serve as the primary liaison between GM, dealerships, and key business partners
• Coach and mentor dealership leadership and staff to improve operational performance and achieve sales goals
• Analyze dealership performance, sales trends, market conditions, competitive activity, and customer satisfaction metrics
• Support launches of new products, programs, and initiatives by coordinating sales, marketing, and communications
• Optimize vehicle and parts inventory through forecasting, ordering, allocation, and stabilization strategies
• Become a subject matter expert in GM’s Consensus allocation system and vehicle ordering system
• Track dealership commitments and action plans and ensure timely completion
• Drive adoption and sales of GM vehicles, accessories, products, and services through territory-specific business plans
• Resolve customer and dealership concerns with cross-functional stakeholders
• Monitor dealership training participation and compliance with GM standards
• Travel throughout the assigned territory to assess dealership operations and support execution of GM programs and initiatives

District Sales Manager

• Lead a team responsible for General Motors' North American dangerous goods transportation compliance across all modes
• Supervise and mentor dangerous goods specialists
• Develop, implement, and maintain dangerous goods transportation compliance programs, policies, and procedures
• Provide technical guidance and regulatory interpretation to logistics, supply chain, engineering, manufacturing, and other internal stakeholders
• Collaborate with carriers, freight forwarders, regulatory bodies, and other external partners
• Manage and investigate dangerous goods incidents, including reporting and preventative measures
• Develop and deliver dangerous goods training programs
• Monitor regulatory and industry best-practice changes and update internal policies and procedures
• Lead cross-functional dangerous goods compliance and optimization projects
• Prepare and present compliance, risk assessment, and incident reports to senior management

Dangerous Goods Group Manager

Product Manager

• Define and execute the strategy and roadmap for enhancing trust in Synthetic Data used to create GM's next-generation autonomy
• Drive innovation in utilizing and scaling Synthetic Data to provide training data and insights faster to autonomy development and validation teams
• Lead cross-functional efforts across Simulation, ML infrastructure, and Autonomy development
• Own the long-term product vision and strategic direction for increasing trust in Synthetic Data across GM
• Scale synthetic data production in quality and volume to establish it as a first-class data source in the training workflow
• Communicate technically complex information in an easy-to-understand narrative to stakeholders across GM
• Drive a data-driven culture and establish and monitor key metrics
• Establish quality frameworks and “is this good enough?” criteria
• Define and track KPIs demonstrating the impact of synthetic data on model performance and program outcomes
• Collaborate with product management, program management, design, engineering, infrastructure, and operations teams
• Report to the Warren, Michigan or Sunnyvale, California office at least three times per week

Senior Product Manager – Synthetic Data

Data Scientist

• Contribute to the definition of product vision, strategy, and roadmap based on customer needs and market trends
• Collaborate with engineering, design, marketing, and sales to align product goals and priorities
• Conduct market research and competitive analysis
• Develop and manage product requirements, including user stories, use cases, and functional specifications
• Create and maintain product backlogs and prioritize features and enhancements
• Work with UX/UI designers to develop intuitive user interfaces
• Define and track OKRs and KPIs to measure product success
• Communicate product updates, progress, and plans to executives, customers, partners, and organizational stakeholders
• Manage product launches, go-to-market strategies, and cross-functional coordination
• Conduct post-launch analysis and identify improvement areas
• Continuously iterate and improve the product based on user feedback, market trends, and business goals

Senior Product Manager – Data Mining and Search

Full-stack Engineer

• Design and develop microservices interacting with various Azure resources
• Document design-solution requirements and link them to test cases demonstrating software functionality
• Diagnose, debug, and resolve software issues
• Participate in integration workshops
• Work with multifunctional teams to build, test, and release robust microservices
• Coordinate and collaborate with IT, Systems & Safety Engineering, Electrical Architecture, Calibration, and Vehicle Performance departments
• Implement use cases and execute software design
• Perform software verification, including unit testing and software integration testing
• Work 100% remotely via telecommuting