below marketmost similar roles pay hereabove market
This role pays less than
75%
of similar roles. Most pay
$189,887–$240,037
— the blue band above.
At the midpoint, this role pays about
$189k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
115 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 95 roles with salary data.
JOB TITLE: Principal Product Manager, Edge AI, LLM & Agentic Workflows
The Principal Product Manager, Edge AI, LLM & Agentic Workflows joins the Edge & AI solutions organization to define product strategy and drive delivery of Edge AI solutions. This role owns the vision, roadmap, and requirements for LLM and agentic inference capabilities, focusing on software needed to deploy, orchestrate, and operate workloads in enterprise environments. You will perform customer discovery, translate needs into technical requirements, and partner with engineering, hardware, and services teams to deliver integrated solutions. Key responsibilities include defining model serving stacks, agent orchestration, and security requirements for local, on-premises, and hybrid deployments. You must possess technical fluency in Python-based AI ecosystems, APIs, SDKs, retrieval-augmented generation, and model lifecycle management to solve complex enterprise deployment, scaling, and performance trade-offs.
What does a Product Manager earn in California?
Median $222500 from 327 postings across 57 companies.
Define the product vision, strategy, and roadmap for LLM and agentic inference capabilities.
Conduct customer discovery and market analysis to prioritize enterprise opportunities for AI applications.
Define software requirements for model serving, runtime compatibility, and agent orchestration across hybrid environments.
Translate security, privacy, and governance needs into technical product requirements for model lifecycles.
Partner with engineering and hardware teams to translate roadmaps into prioritized requirements and delivery plans.
Engage with ISVs and ecosystem partners to validate workflows and guide pilots toward production.
Collaborate with marketing and sales to define target customers, pricing, and go-to-market launch plans.
Track and analyze product outcomes including adoption, reliability, latency, and customer value.
What we're looking for
10+ years of relevant experience in product management for enterprise software, AI software, developer tools, or infrastructure products.
Demonstrated experience delivering LLM-enabled applications or inference solutions with technical fluency in model serving, RAG, and agent orchestration.
Experience defining requirements for model deployment, lifecycle management, monitoring, versioning, and updates in enterprise environments.
Understanding of local, on-premises, and hybrid deployment constraints to translate workload needs into requirements for engineering and hardware partners.
Working fluency with Python-based AI ecosystems, APIs, SDKs, and developer tooling to evaluate integration and deployment approaches.
Experience translating enterprise integration, security, privacy, and governance needs into product requirements.
Demonstrated ability to influence cross-functional teams without direct authority and communicate with technical and executive audiences.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent relevant professional experience.
Edge AI
CPU Architecture
SoC Design
Physical IP
Arm Architecture
AMBA
System Interconnects
Cache Coherency
Semiconductor Design Flows
Product Roadmap
Technical Marketing