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About the Role

We are seeking an Enterprise AI Platform Manager to own the reliability, scalability, governance, and evolution of enterprise AI search, assistant, agent, and workflow orchestration capabilities. 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 ensure capabilities are delivered safely and efficiently.

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, operational needs, 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 continuous reliability and supportability improvements.
Define service-level objectives and operational metrics, using data to guide prioritization and investment decisions.
Establish and maintain platform standards, processes, and governance that support secure, compliant, consistent, and responsible delivery of enterprise AI capabilities.
Assess platform risks, dependencies, and opportunities for modernization, and develop plans to address them.
Lead continuous improvement initiatives that strengthen platform quality, maintainability, supportability, user experience, and trust.
Ensure platform architecture, operating procedures, decisions, and dependencies are documented for transparency and future enhancements.
Collaborate closely with engineers, architects, product teams, operations, security, UX, and business stakeholders in a highly matrixed, global environment.
Serve as the central point of alignment for platform priorities, delivery commitments, operational health, governance decisions, and stakeholder communication.
Build strong partnerships with platform consumers and enable teams to adopt enterprise AI capabilities effectively.
Champion practices that promote reliability, security, privacy, compliance, responsible AI, and user trust across the enterprise AI platform ecosystem.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field; or equivalent practical experience.
3–7+ years of experience managing, operating, or owning an enterprise technology platform, with experience in complex enterprise environments.
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 sufficient to understand platform architecture, integrations, dependencies, operational metrics, and engineering tradeoffs, and to partner effectively with engineering teams; hands-on software development is not required.
Strong communication, stakeholder management, prioritization, and collaboration skills, with the ability to align technical and business partners in a matrixed organization.

Skills

Enterprise AI
Platform Management
Roadmap Definition
Backlog Management
Governance
Continuous Improvement
Platform Reliability
Service Management
Operational Readiness
Incident Management
Problem Management
Security
Privacy
Compliance
Lifecycle Management
Technical Fluency
Stakeholder Management
Serval
Enterprise Data Integration
Agent Configuration
Workflow Design
Microsoft 365
AI Assistants
Copilot
Observability
Telemetry
Logging
Tracing
Quality Dashboards
Operational Metrics
Enterprise Identity and Access Management
User-Centric Design

Location

Hybrid

Work Type

Hybrid

Experience Level

3-7+ years

Education Level

Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field; or equivalent practical experience.

Benefits

Relocation benefits may be eligible for this job.
GM supports a rewarding career that rewards you personally.

About the Company

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
General Motors offers opportunities to all job seekers including individuals with disabilities.
If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.