Top Tech Jobs & Startup Jobs

Lead global sourcing for technology purchases (software, SaaS, infrastructure). Develop and execute sourcing strategies, negotiate contracts and renewals, manage cloud service provider relationships, collaborate with IT, legal, security and engineering, maintain benchmark data, and ensure supplier performance and compliance with purchasing processes.

Leads product strategy, roadmaps, backlogs, and delivery for GM Motorsports data and analytics products. Serves as Product Owner and scrum lead for data science and engineering teams, translates stakeholder needs into features, manages dependencies and trade-offs, tracks product KPIs, communicates with senior leadership, and mentors product and agile team members.

Build end-to-end data engineering and data science solutions for robotics and manufacturing data. Responsibilities include designing scalable multimodal data pipelines, creating analytic datasets, applying statistical and machine learning methods, developing MLOps workflows, building APIs and internal tools, and improving data governance, reliability, automation, and production support. The role partners cross-functionally with robotics, manufacturing, software, and data teams.

Leads GM’s vehicle product cybersecurity compliance program, including controls frameworks, TARA, UNR155 and CSMS audits, global regulatory monitoring, audit readiness, control-gap remediation, and regulatory relationships. Partners with engineering, legal, government affairs, program management, and suppliers to integrate cybersecurity requirements throughout vehicle development. Manages and develops a cybersecurity GRC team, establishes KPIs, oversees workforce planning, and reports compliance risks and remediation progress to senior leadership.

Design and release body, interior, and survivability vehicle subsystems for GM Defense. Responsibilities include component design and packaging, resolving complex engineering and manufacturing issues, supporting program milestones, troubleshooting build processes, analyzing design improvements, and coordinating suppliers and cross-functional teams. The role requires vehicle design experience, knowledge of high- and low-volume production, GD&T, material-forming cost drivers, supplier management, and eligibility for a Secret U.S. security clearance.

Lead end-to-end WMS deployments in automotive manufacturing: gather requirements, design and configure solutions, integrate automation (ASRS/AMR), run UAT, analyze WMS/GMOS data, implement reporting, apply industrial engineering and lean practices, train users, and drive cross-functional change for improved material flow and cost savings.

Partner with People Analytics Consultants to analyze HR data, deliver actionable insights for talent decisions, workforce planning, retention, and employee experience. Design analyses, present findings to leaders, manage multiple projects, and help enhance analytics solutions.

Develop, validate, and maintain tooling and test configurations for vehicle software reflash campaigns. Lead readiness, troubleshoot and resolve reflash issues, train teams, drive continuous improvement, and coordinate global reflash support across manufacturing, yard, and deployment teams.

The Senior AI/ML Capacity Engineer will develop capacity planning models, design analytical tools, and collaborate with teams to optimize costs and efficiencies.

Design and build scalable, accessible frontend components and micro-frontends for a global vehicle commerce platform. Implement complex rule-driven UIs, real-time pricing displays, deep state management, and guided multi-step workflows. Drive automation, AI-enabled development practices, performance optimization, and contribute to an enterprise design system in a cross-functional Agile team.