# Principal Product Manager, Edge AI, LLM & Agentic Workflows at HP

HP is hiring a Principal Product Manager, Edge AI, LLM & Agentic Workflows in Palo Alto, United States. It pays $147k-$231k a year and Level rates it Works on AI ●●●○; you can [apply on HP](https://jobsbylevel.com/go/37e42c29-0dea-445a-abeb-5a7108f96648?utm_medium=ai-agent).

AI Level 3, AI centrality 77 out of 100. Palo Alto, California, United States of America.

## Details

- Company: [HP](https://jobsbylevel.com/companies/hp)
- AI level: AI Level 3 (score 77 out of 100)
- Location: Palo Alto, California, United States of America
- Salary: $147k-$231k
- Posted: October 20, 2026
- Apply: https://jobsbylevel.com/go/37e42c29-0dea-445a-abeb-5a7108f96648?utm_medium=ai-agent

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-product-manager-edge-ai-llm-agentic-workflows-at-hp-96ea2b

## Description

Principal Product Manager, Edge AI, LLM & Agentic Workflows Description - Role Overview The Principal Product Manager defines product strategy and drives delivery of Edge AI solutions for large language models (LLMs) and agentic workflows, including the inference software capabilities needed to deploy, orchestrate, and operate these workloads in enterprise environments. Within HP’s Edge & AI solutions organization, this role owns the vision, roadmap, requirements, and product outcomes for assigned LLM and agentic inference capabilities. You will partner with engineering, peer product managers, hardware teams, services teams, and ecosystem partners to deliver integrated solutions. The role defines workload requirements and evaluates deployment trade-offs with hardware partners but does not own hardware products or hardware roadmaps. The role combines strategic product leadership with practical execution through customer discovery, technical requirements, prioritization, and deployment validation. You will translate internal and external customer needs into capabilities that help organizations deploy, manage, and scale AI closer to their users, operations, and data. Key responsibilities: Product Strategy & Customer Discovery Define the product vision, strategy, and roadmap for assigned LLM and agentic inference capabilities, aligned with HP’s broader Edge AI strategy. Coordinate shared capabilities and dependencies with peer product managers. Use customer discovery, market insights, competitive analysis, and business cases to prioritize enterprise opportunities for LLM applications, AI agents, and workflow automation. Validate customer needs, target users, deployment requirements, and expected business value before committing to solution investments. Solutions Definition Define software capabilities and integration requirements for LLM and agentic inference solutions across local, on-premises, and hybrid environments. Partner with hardware and services owners to ensure the overall solution meets workload and customer requirements. Establish requirements for model serving and assigned inference software stack capabilities, including deployment, runtime compatibility, scaling, support for relevant inference backends, and integration with HP Z Runtime where applicable. Work with engineering and hardware partners to evaluate workload requirements and trade-offs across compute, memory, acceleration, connectivity, performance, and cost. Define requirements for agent orchestration, tool use, enterprise system integration, human oversight, and recovery from failed or incomplete tasks. Translate model lifecycle, security, privacy, and governance needs into product requirements, including evaluation, deployment, monitoring, versioning, updates, rollback, access controls, and auditability. Delivery & Ecosystem Partnerships Partner with peer product managers, engineering, and operations to translate the roadmap into prioritized requirements, acceptance criteria, and coordinated delivery plans. Engage internal and external customers, independent software vendors (ISVs), and ecosystem partners to validate LLM and agentic workflows and guide pilots toward reliable, supportable production deployments. Use relevant Customer Zero initiatives as one source of deployment evidence and product feedback. Evaluate build, buy, and partner options across the solution stack, establishing clear integration requirements and responsibilities with relevant teams. Go-to-Market & Product Outcomes Partner with product marketing and sales to define target customers, articulate differentiated value, inform pricing and packaging decisions, and develop launch plans and sales enablement materials. Define and track adoption, time to production, workflow effectiveness, reliability, usability, and customer value. Use customer feedback and product performance evidence to refine priorities and improve the solution throughout its lifecycle. Core Outputs & Artifacts

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-product-manager-edge-ai-llm-agentic-workflows-at-hp-96ea2b

Source: https://jobsbylevel.com/jobs/principal-product-manager-edge-ai-llm-agentic-workflows-at-hp-96ea2b

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-product-manager-edge-ai-llm-agentic-workflows-at-hp-96ea2b.

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