Edge AI Competitive Intelligence Lead & Strategy

HP; Palo Alto (CA); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off including parental?e

Job summary

Hewlett Packard Enterprise seeks a Competitive Intelligence Lead for AI Software & Hardware (Edge AI) to guide HP Personal Systems' strategy. You will command a small, expert team, maintain a live pulse on the PC competitor portfolio, and translate signals into decisive, executive-ready insights.

The role demands deep analysis of the AI ecosystem from software to devices, with a focus on edge workloads, go-to-market shifts, and pricing movements.

Qualifications

• 8+ years in competitive intelligence, corporate or strategy roles, ideally touching technology hardware, semiconductors, or software.
• Strong knowledge of the AI landscape across software and hardware
• Excellent verbal communication and ability to influence senior executives
• Demonstrated people leadership: managed analysts or associates and set direction

Responsibilities

• Lead deep, continuous competitor analysis across core PC/AI ecosystem.
• Build a living intelligence map on core competitors and emerging players across software and hardware.
• Synthesize findings into concise, decision-ready insights for senior leadership.
• Lead and develop a team of four analysts; set research agenda and cadence.
• Provide executive-level briefings and defend viewpoints with data and scenarios.

Skills

Competitive intelligence

Executive communication

Strategic mindset

People leadership

Cross-functional collaboration

Education

MBA or advanced degree

Tools

AI-augmented research tooling

Job description

Hewlett Packard Enterprise seeks a Competitive Intelligence Lead for AI Software & Hardware (Edge AI) to guide HP Personal Systems' strategy. You will command a small, expert team, maintain a live pulse on the PC competitor portfolio, and translate signals into decisive, executive-ready insights.

The role demands deep analysis of the AI ecosystem from software to devices, with a focus on edge workloads, go-to-market shifts, and pricing movements.