Top Tech Jobs & Startup Jobs

Identifies and formalizes complex problems, then drives the design, development, and deployment of algorithmic solutions using artificial intelligence, machine learning, and data science techniques. The role connects business problems with data scientists and ML methods to produce actionable solutions.

Leads GM’s global automation sourcing and strategy for manufacturing and logistics. Develops automation roadmaps, commodity and supplier strategies, commercial agreements, risk mitigation plans, and standardized purchasing processes. Manages a team, establishes performance KPIs, supports manufacturing programs and launches, drives cross-functional change, and engages automation technology suppliers. The role requires significant experience in purchasing, supply chain, manufacturing engineering, automation, robotics, controls, supplier management, and global initiatives.

Provides technical leadership for scalable cloud, data, and AI foundations supporting mapping databases and software-defined vehicle experiences. Designs data platforms, pipelines, APIs, governance, observability, and cloud-native services; productionizes agentic AI workflows using enterprise knowledge sources; establishes reusable engineering patterns, security, reliability, and deployment standards; leads architecture reviews and cross-team workshops; and mentors engineers. The role requires hands-on work across distributed systems, infrastructure, data engineering, cloud platforms, and responsible AI enablement.

Design, build, and operate cloud-based CI/CD platforms and pipelines for embedded software production and virtualized testing. Develop automated build, integration, deployment, and testing workflows using cloud infrastructure, Bazel, containers, and orchestration. Integrate physical and virtual test environments, improve platform reliability and performance, troubleshoot infrastructure issues, and ensure cybersecurity compliance. Serve as a subject matter expert while collaborating with software, test, IT, cybersecurity, and supplier teams.

Build and scale an enterprise web design system using Stencil and framework-agnostic Web Components. Develop accessible, performant, reusable components; integrate React and Angular wrappers; translate Figma designs into production code; establish documentation, standards, testing, and CI/CD practices; and support AI-assisted design and development through machine-readable components, tokens, and usage guidance.

Manages global sourcing for HMI-related materials, supplies, tooling, machinery, and services. Responsibilities include developing commodity strategies, managing RFQs and supplier negotiations, analyzing quotes and costs, maintaining sourcing and budget metrics, overseeing supplier relationships and KPIs, resolving commercial issues, supporting supply disruption mitigation, and coordinating with cross-functional teams. The role requires SAP proficiency, analytical judgment, communication, negotiation, and 5–10% domestic and international travel.

Designs, builds, and operates cloud-based CI/CD platforms and pipelines for embedded software production and virtualized testing. Responsibilities include automating builds, integration, testing, provisioning, monitoring, and deployment; integrating physical and virtual test environments; improving platform reliability and scalability; troubleshooting infrastructure; and guiding teams on cloud, CI/CD, virtualization, and cybersecurity best practices.

Leads U.S. health care benefits operations, managing a team of analysts, daily program administration, escalations, vendor performance, compliance controls, audits, and operational projects. Partners with Legal, Finance, Payroll, Labor Relations, vendors, and other stakeholders to improve service delivery, employee experience, risk management, and process efficiency. Oversees benefits changes, integrations, transformations, and communication while ensuring accurate and compliant administration across diverse employee populations.

Designs, implements, and operationalizes privacy controls across enterprise data platforms, analytics, AI systems, digital products, and connected vehicle technologies. The role translates regulatory and policy requirements into technical specifications, reusable privacy services, and lifecycle controls such as encryption, tokenization, consent management, access controls, and data minimization. Responsibilities include partnering with engineering, Legal, Privacy, Cybersecurity, and Data Governance teams; supporting software design reviews, audits, compliance assessments, and remediation; and serving as a privacy engineering subject matter expert.

Leads software development teams building GM Loyalty web and mobile platforms. Sets technical direction, manages roadmaps and delivery, coaches engineers, guides architecture, and ensures software quality, security, reliability, scalability, and compliance. Oversees integrations, cloud modernization, performance tuning, production deployments, incident resolution, and post-launch support while collaborating cross-functionally and promoting automation and AI adoption.