Engineering (AI/Hardware) Project Manager
$154,900–$225,300 year
On-siteSan Jose, California, United States
Job Summary
Lead small to mid-sized multi-functional programs across the CHG hardware portfolio, driving execution, alignment, and predictable delivery. Develop and maintain project plans, schedules, and governance processes while proactively managing risks, dependencies, and issue resolution. Partner with engineering, product management, operations, marketing, and account teams to coordinate planning cycles, business reviews, and executive updates. Drive the PMO organization's AI transformation by identifying high-impact opportunities, leading AI adoption initiatives, and embedding AI-enabled ways of working into day-to-day program execution. Assess data readiness for AI use cases and apply AI-enabled productivity tools to improve team efficiency. Work onsite at the San Jose, CA office.
Required Qualifications
- Bachelor's degree with 7+ years or master's degree with 4+ years in Computer Science, Electrical Engineering, or a related field
- Experience in program/project management, business operations, PMO, Chief-of-Staff support, or hardware/product development
- Experience leading multi-functional programs or projects, including project plans, turning points, dependencies, risks, issue resolution, and partner communications
- Experience supporting business operations or leadership operating rhythms, such as staff meetings, business reviews, action tracking, executive updates, dashboards, or organizational communications
- Experience using AI-enabled tools, workflow automation, or AI assistants to improve project execution or operational efficiency
- Familiarity with AI concepts, LLMs, or AI agent workflows, prompt engineering, and AI evaluation best practices
- This role requires the employee to work onsite at the San Jose, CA office location
Desired Qualifications
- Experience supporting hardware, system-level, networking, telecom, or enterprise infrastructure programs within a PMO or product development environment
- Experience in business operations, executive operations, or PMO role supporting senior leadership operating mechanisms in a highly matrixed, fast-paced, and globally distributed environment while balancing program execution with operational priorities
- Familiarity with product development lifecycles, release readiness, change enablement, and launch or operational governance processes
- Experience identifying AI use cases and partnering with engineering teams to deliver AI-enabled business solutions
- Experience managing AI engineering, machine learning, data science, or automation initiatives is a plus
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