AI Platform Leader — Reliability, Governance & Scale

General Motors; Austin (TX); Hybrid; USD 160,000 - 210,000; Full time

Job summary

General Motors is seeking an Enterprise AI Platform Manager to own the reliability, scalability, governance, and evolution of enterprise AI search, assistant, agent, and workflow orchestration capabilities in a complex enterprise environment.

This hybrid product and technical platform role will manage the platform roadmap, establish standards, oversee availability, performance, security, privacy, compliance, and lifecycle management, and partner with engineering, product, and business teams to

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field
• 3-7+ years managing, operating, or owning an enterprise technology platform
• Experience managing or operating an enterprise AI, search, assistant, agent, or workflow automation platform
• Experience defining platform strategy, managing roadmaps and backlogs, establishing governance, and driving continuous improvement
• Strong understanding of platform reliability, service management, operational readiness, incident and problem management, security, privacy, compliance, and lifecycle management
• Technical fluency to understand platform architecture, integrations, dependencies, and engineering tradeoffs; hands-on development not required
• Strong communication, stakeholder management, prioritization, and collaboration skills to align technical and business partners

Responsibilities

• Define the vision, strategy, and roadmap for enterprise AI platform capabilities, balancing business priorities, user needs, technical debt, scalability, operational health, and enterprise risk
• Manage the product backlog and prioritize future enhancements based on customer feedback, usage insights, platform performance, and enterprise priorities
• Translate business and stakeholder needs into clear product requirements, measurable outcomes, and delivery plans
• Identify opportunities to improve enterprise AI search, assistant, agent, and workflow orchestration capabilities, adoption, and value across the enterprise
• Own platform availability, performance, scalability, security, resilience, privacy, compliance, and lifecycle management
• Establish standards for observability, incident and problem management, release readiness, change management, service continuity, and operational support
• Partner with engineering and operations teams to monitor platform health, resolve issues, and drive reliability improvements
• Define service-level objectives and operational metrics, using data to guide prioritization and investment decisions
• Establish and maintain platform standards, processes, and governance for secure, compliant delivery
• Assess platform risks, dependencies, and modernization opportunities; develop plans
• Lead continuous improvement initiatives to strengthen quality and trust
• Document architecture, procedures, decisions, and dependencies for transparency

Skills

Platform ownership

Service management

Governance

Technical fluency

Stakeholder alignment

Communication skills

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field

Job description

General Motors is seeking an Enterprise AI Platform Manager to own the reliability, scalability, governance, and evolution of enterprise AI search, assistant, agent, and workflow orchestration capabilities in a complex enterprise environment.

This hybrid product and technical platform role will manage the platform roadmap, establish standards, oversee availability, performance, security, privacy, compliance, and lifecycle management, and partner with engineering, product, and business teams to