Senior Product Manager, Edge AI & Agentic Workflows

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

Job summary

HP is seeking a Principal Product Manager for Edge AI, LLM & Agentic Workflows to drive the strategy and delivery of enterprise-grade inference capabilities. You will partner with engineering, hardware and services teams to shape roadmaps, requirements, and deployment models across local, on-prem, and hybrid environments.

The role emphasizes customer discovery, governance, and scalable production deployment, with collaboration across ecosystems and go-to-market teams to ensure measurable

Qualifications

• 10+ years of enterprise software product management experience.
• Proven track record delivering AI-enabled applications or inference solutions.
• Experience translating security, privacy, and governance needs into product requirements.
• Experience with model deployment, lifecycle management, monitoring and versioning.

Responsibilities

• Define product vision, strategy, and roadmap for LLM and inference capabilities.
• Define software requirements for local, on-premises, and hybrid environments.
• Collaborate with hardware, services, and ecosystem partners to meet workload needs.
• Translate customer needs into prioritized requirements and acceptance criteria.
• Partner with GTM to define pricing, packaging, and launch plans.
• Measure adoption, time-to-production, reliability, and business value.

Skills

Product management

Enterprise software

AI software

Model serving

Python ecosystems

Education

Bachelor’s degree in Computer Science/Engineering/Data Science

Tools

APIs

SDKs

Job description

HP is seeking a Principal Product Manager for Edge AI, LLM & Agentic Workflows to drive the strategy and delivery of enterprise-grade inference capabilities. You will partner with engineering, hardware and services teams to shape roadmaps, requirements, and deployment models across local, on-prem, and hybrid environments.

The role emphasizes customer discovery, governance, and scalable production deployment, with collaboration across ecosystems and go-to-market teams to ensure measurable