General Motors

Director

• Own Cadillac Canada’s brand, commercial, and financial performance—including sales, market share, profitability, brand desirability, and customer experience.
• Serve as Cadillac’s primary advocate in Canada, representing the brand to internal partners, external stakeholders, the dealer network, and customers.
• Champion Cadillac’s navigation of the changing EV & luxury landscape, ensuring Canadian readiness across product planning, retail execution, EV charging ecosystem, and luxury customer journey.
• Lead Canadian product, pricing, and packaging strategy, ensuring competitiveness, brand elevation, strong residual values, and vehicle line profit.
• Translate Canadian consumer insights, competitive trends, and market shifts into actionable strategic recommendations.
• Partner closely with Global Cadillac product, design, and marketing teams to ensure the Canadian perspective is reflected in long‑range planning.
• Champion Cadillac’s Canadian brand strategy, including long‑range planning, annual brand objectives, and performance marketing frameworks.
• Ensure brand positioning and messaging align with Cadillac’s global transformation into a modern luxury EV brand while driving lower funnel traffic to ensure monthly & annual sales targets are achieved and exceeded.
• Champion the use of advanced analytics, performance marketing, and premium‑tier creative to drive brand consideration, engagement, and return on ad spend across all tiers of the marketing ecosystem (GM, RMAB, Dealer).
• Act as Cadillac’s visible brand leader across GM, with Canadian dealers, in the media, and with agency partners.
• Lead the development of Cadillac Canada’s retail network strategy, ensuring premium retail standards, alignment with brand identity standards for all dealers, required by 2030, and profitable dealer performance.
• Guide dealers through the transition to EV‑led sales, service readiness, and luxury customer expectations.
• Represent Cadillac Canada at key dealer councils, industry forums, and retail network governance processes.
• Lead, develop, and coach a high‑performing team across brand, product, marketing, retail operations, and communications.
• Foster strong collaboration across GM Canada functions including Sales, Digital, Finance, PR, Legal, OnStar, Aftersales, Chevrolet, Buick GMC, and Cadillac Global teams.
• Build and reinforce a culture of inclusion, innovation, safety, and accountability aligned to GM’s values and leadership behaviours.
• Serve as the primary Canadian point of contact for global Cadillac leadership, ensuring alignment and shared execution.

Managing Director

Product Manager

• Responsible for MarTech Product from solution design to implementation and adoption
• Lead and mentor a team of Product Managers and Analysts
• Partner with marketing leaders to develop and communicate product roadmaps
• Partner with internal / external delivery teams to design and delivery platform features

Group Product Manager – Engagement Platforms

Full-stack Engineer

• Develop and maintain simulation environments using Unity, Unreal Engine, or NVIDIA Isaac Sim
• Implement NPC programming and behavior logic to enable realistic interactions
• Own end-to-end features: requirements, architecture, implementation, testing, deployment, and observability
• Build high-performance 3D simulation modules (rendering, physics, spatial indexing) for scalable, real-time execution and integrate them with platform services
• Develop asset pipelines and tooling for ingesting, transforming, and optimizing complex 3D assets (e.g., USD, glTF) and scene graphs for real-time use
• Collaborate with robotics engineers and software developers to integrate simulation with automation pipelines
• Contribute hands-on to coding and code reviews, promoting clean code practices and secure development standards
• Troubleshoot and resolve technical issues in simulation frameworks
• Document workflows, tools, and best practices to enable cross-team adoption

Senior Simulation Software Engineer

Human Resources

• Partner with business leaders to define and execute talent strategies, including workforce planning, job design, and organizational transformation.
• Serve as a trusted advisor, guiding leaders through ambiguity and change.
• Build credibility and influence across teams without relying on formal authority.
• Use data and insights to drive strategic decisions and demonstrate HR’s impact.
• Collaborate with Centers of Excellence (CoEs) to deliver business-aligned HR solutions.
• Lead organizational design efforts to optimize performance and support transformation.
• Offer clarity, calm, and actionable solutions for complex HR issues.
• Apply advanced analytical and problem-solving techniques to resolve non-standard challenges.
• Diagnose root issues and co-create solutions with CoEs and HR Operations.
• Serve as a catalyst for change during periods of transformation, helping leaders navigate organizational shifts with clarity and confidence.
• Influence outcomes without authority, shaping direction and driving adoption of new approaches across the broader functional area.
• Drive leadership development and build people leader effectiveness.
• Act as a talent scout, identifying performance gaps and strengths across teams.
• Shape and protect the employee experience to ensure alignment with company values and goals.
• Provide guidance on complex employee relations matters, using sound judgment, established frameworks, and consideration of business and legal risk.
• Serve as a mentor and resource for junior HR team members, providing coaching, thought leadership, and guidance on complex or sensitive issues.

Senior HR Business Partner – GM Defense

• Design and implement software for robotic simulation environments and automation frameworks
• Build and integrate 3D modules (e.g., rendering, simulation, physics, spatial indexing) with platform services via well-designed APIs and data contracts
• Work across the stack using modern front-end frameworks (e.g., React or similar), TypeScript/JavaScript, and service-oriented backends (e.g., Node.js, Python, Java, or C#)
• Build and iterate on web-based playback and visualization tools that rely on WebRTC, WebSockets, and streaming media pipelines to deliver simulation replays
• Work with databases and storage systems to organize simulation outputs, logs, and artifacts for fast retrieval and inspection
• Collaborate with robotics engineers, data scientists, and system architects to integrate software into autonomous platforms
• Optimize code for efficiency, scalability, and reliability in real-time systems
• Conduct testing, debugging, and validation of software components
• Document software designs, processes, and best practices for maintainability and knowledge sharing
• Serve as a Subject Matter Expert (SME) for at least one platform or application component

Senior Digital Twin Software Engineer

Account Manager

• Support complex, large-scale, high-value strategic partnerships in Infotainment domains including Audio, Video, Gaming, and Productivity.
• Strengthen existing partnerships and ongoing engagement through marketing, recurring partner business reviews, and driving partner KPIs.
• Help set and implement partner and domain strategy.
• Coordinate and organize efforts across a diverse set of internal stakeholders.
• Directly represent GM in external partner communications.
• Navigate complex organizations and situations.

Partner Lead, Infotainment Partnerships

• Define the long-term product vision and roadmap for Super Cruise HMI, ensuring a seamless, trust-building experience across all interfaces including clusters, HUDs, and infotainment screens.
• Lead strategies for visual cues (lighting/UI), non-visual cues (spatial audio/haptics), and the logic governing how these modes work in concert to communicate system status and expectations of a driver.
• Own the transitions between states, defining the requirements for engagement, disengagement, and take-over requests where timing and clarity are paramount.
• Drive the roadmap for how the vehicle communicates its perception of the world—transforming complex sensor data into intuitive 3D visualizations that build driver confidence in the system.
• Define the ecosystem for driver preferences, ensuring the HMI adapts to individual needs while maintaining a baseline of safety and brand consistency.
• Act as the primary bridge between Human Factors, Design, Software, and Safety teams to ensure HMI requirements are feasible and robust.
• Establish and track KPIs for HMI effectiveness, including driver reaction times, system trust scores, and engagement rates.
• Communicate the HMI strategy and progress to executive leadership, ensuring alignment on the primary mechanism through which people will experience our product.
• Mentor and develop a world-class team of PMs, fostering a culture of safety-first innovation.

Senior Group Product Manager – AV Human Machine Interface

• Own the long‑term product vision and roadmap for GM’s multi‑modal data collection ecosystem, covering DCV fleets, retail vehicle data capture, and all associated tools, workflows, and infrastructure
• Lead GM’s data collection initiatives for autonomous and supervised driving, ensuring that data acquisition supports development, evaluation, validation, and fleet operations goals
• Optimize GM’s dedicated data collection fleets, including hardware configurations, sensor packages, operating models, routing strategies, and coverage planning.
• Define and drive the retail data collection strategy, from instrumentation and triggers to consent mechanisms, customer experience considerations, governance, and policy compliance
• Identify gaps and tradeoffs in data quality, throughput, coverage, operational cost, and developer productivity—and lead initiatives to close them
• Drive a metrics‑based operating model, establishing and managing KPIs for data utility, completeness, cost efficiency, fleet productivity, and end‑to‑end data latency
• Translate autonomy and safety team requirements into clear product requirements and prioritization frameworks for both fleet‑based and retail‑based data capture
• Communicate program status, decisions, and insights to senior leadership and cross‑functional stakeholders
• Build and lead a team of data‑focused product managers, mentoring them and cultivating a culture of operational rigor, innovation, and customer‑obsessed prioritization
• Stay ahead of industry technology and regulatory trends related to vehicle data, consent, privacy, sensing hardware, and model‑driven data strategies.

Group Product Manager – Data Collection

Frontend Engineer

• Architect and implement performant, scalable, and maintainable frontend systems for AV mapping applications across web and embedded platforms.
• Design intuitive, data-rich user interfaces to visualize complex geospatial and mapping data, supporting workflows such as map editing, validation, and release.
• Collaborate closely with backend, simulation, localization, and perception teams to define robust data contracts and ensure seamless integration across systems.
• Lead the frontend development lifecycle for high-impact projects—defining milestones, aligning stakeholders, and mentoring engineers across functions.
• Drive technical excellence in frontend engineering by conducting design reviews, enforcing UI/UX best practices, and setting standards for code quality, testing, and documentation.
• Optimize rendering performance and responsiveness for large-scale map data and real-time updates.
• Serve as a Subject Matter Expert (SME) in frontend architecture, component design, and visualization frameworks within the Mapping organization and across AV domains.
• Contribute to roadmap planning and hiring strategies to grow frontend expertise across the team.

Senior Fullstack/Frontend Engineer

• Own the long‑term product vision and roadmap for GM’s data labeling ecosystem, covering human‑in‑the‑loop labeling tools, workflow orchestration, and automatic labeling technologies.
• Define UI and workflow requirements for labeling tools that maximize annotator efficiency, reduce errors, and ensure consistent quality across large‑scale labeling operations.
• Develop a strategy and roadmap for automatic and semi‑automatic labeling, including model‑assisted tools, heuristics, and quality‑gating mechanisms.
• Partner with AV and ADAS ML teams to deeply understand their data modalities, annotation requirements, and pain points—translating these into clear product requirements and prioritization frameworks.
• Drive efficiency investments for human labelers, including process optimization, intelligent task routing, active‑learning loops, and targeted improvements based on productivity metrics.
• Balance cost, throughput, and quality when choosing between human, hybrid, and automated labeling solutions.
• Lead cross‑functional efforts across Engineering, Operations, ML Research, Design and Program teams to deliver scalable, reliable, and secure labeling infrastructure.
• Establish KPIs that measure labeling quality, annotation velocity, end‑to‑end cycle time, ML impact, and cost efficiency—and use them to inform product decisions.
• Act as the voice of labeling customers (ML engineers, data scientists, and safety evaluators), ensuring labeling solutions support their development cycles, evaluation workflows, and model iteration velocity.

Senior Product Manager, Labeling

DevOps Engineer

• Support Fleet uptime for prototype vehicle systems and components through issue identification, triage, configuration & code debugging, and root cause analysis.
• Work with cross-functional teams to drive hardware and software design changes by balancing short-term improvements and long-term solutions to resolve issues.
• Issues are varied, including network configuration issues, AV sensor connectivity issues, fleet management, car connectivity, and AV system software.
• Develop and maintain effective working relationships with cross-functional groups, including technicians, operators, engineers, and external partners.

Senior Fleet Reliability Engineer

Producer

• Lead and evolve scalable workflows, operating models, and planning frameworks that improve predictability, velocity, and quality of design delivery.
• Facilitate alignment across design, product, engineering, and brand teams, ensuring shared understanding of priorities, dependencies, and decision points.
• Manage end-to-end delivery of key design initiatives, safeguarding design intent, accessibility, timelines and quality from concept through launch.
• Build communication artifacts—roadmaps, briefs, risks, and status updates—that improve visibility for cross-functional partners and senior leadership.
• Identify risks, blockers, and cross-team impacts early; drive resolution through influence, negotiation, and structured decision-making.
• Champion adoption of standardized tools, methodologies, and best practices that support multi-brand, multi-region design operations.

Senior Producer – Human Interface Design

Content Writer

• Drive the Future of Automotive Experiences – Join Our Human Interface Design Team!
• Crafting intuitive, beautiful, and human-centered digital experiences across vehicles, web, and mobile platforms.
• Redefining how people interact with automotive technology—both inside and outside the vehicle.
• Creating seamless experiences that feel effortless, engaging, and safe.

Content Designer – UX Writer, Automotive Interfaces

Machine Learning Engineer

• Build UX experiences and agentic workflows to improve MLE workflows and productivity
• Build backend integrations to provide unified experience across ML lifecycle
• Raise the bar on system observability, debuggability, and operational excellence, and user experience
• Own and drive the design and architecture across the ecosystem that meets security and compliance standards
• Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment
• Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations
• Partner with engineering teams to ensure seamless end-to-end flow and data quality
• Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
• Review and approve technical design documents and pull requests
• Improve and enhance engineering systems documentation and development processes
• Identify and pursue new paths of inquiry, innovation and challenge status quo
• Develop and nurture technical talent within the team and recruiting

Staff AI/ML Engineer

Recruitment

• Lead the configuration efforts to deliver projects, changes/enhancement requests and resolution of issues in Workday Recruiting, as well as integrated technologies across the Talent Acquisition process.
• Partner with the Talent Acquisition Team to understand their needs, gather complex business requirements and translate them into best practice Workday/technology solutions.
• Support business users in validation of Workday processes, data conversion and integrations.
• Analyze current processes, future needs and assess gaps between as-is and to-be processes.
• Provide best practice recommendations/solutions in Workday to bridge the gap, including data and security changes that are needed to enable those.
• Support biannual Workday Releases, partnering with business stakeholders to evaluate new features and create adoption plans to implement them.
• Maintain a strong understanding of ways in which business is conducted to recommend improvement opportunities for configuration and use of Workday, as well as other Talent Acquisition technologies, in addition to opportunities for automation.
• Build and maintain strong relationships with key business stakeholders, including HR leaders, IT professionals, and end-users.