HP
Principal Product Manager, Edge AI, LLM & Agentic Workflows
$147K–$231K
Palo Alto, California, United States of America · Principal · Full-time · Posted Oct 20, 2026
- Experience
- 10+ years of relevant experience.
- Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent relevant professional experience. An MBA or an advanced degree in a relevant technical field is a plus but not required.
About the job
Leads product strategy and delivery for enterprise Edge AI inference software that enables organizations to deploy and operate LLM applications and agentic workflows across local, on-premises, and hybrid environments.
What you'll do
- Define product vision, roadmap, requirements, and priorities using customer discovery, market insights, and deployment evidence.
- Partner with engineering, hardware, services, and ecosystem teams to define inference, agent orchestration, integration, security, and lifecycle capabilities.
- Guide pilots and production readiness, support go-to-market planning, and track adoption, reliability, workflow effectiveness, and customer value.
What they ask for
- 10+ years of relevant experience, including substantial product management responsibility for enterprise software, AI software, developer tools, or infrastructure products.
- Demonstrated experience delivering LLM-enabled applications or inference solutions, with fluency in model serving, retrieval-augmented generation, agent orchestration, tool use, evaluation, and failure handling.
- Experience defining enterprise model deployment and lifecycle requirements, understanding local, on-premises, and hybrid constraints, and translating workload needs for engineering and hardware partners.
- Working fluency with Python-based AI ecosystems, APIs, SDKs, and developer tooling; experience translating enterprise integration, security, privacy, and governance needs into product requirements.
Nice to have
- Experience evaluating build, buy, and partner options for enterprise platforms or integrated technology solutions.
- Experience with open-source AI ecosystems, enterprise model-serving or agent-orchestration platforms, or enterprise technology go-to-market execution.
Pay
$147,050 to $230,850 USD annually (base salary); additional opportunities for pay in the form of bonus and/or equity (amount not stated).
Tools
LLMs, Python, APIs, SDKs, HP Z Runtime, retrieval-augmented generation
AI focus
Defines and delivers Edge AI inference software for LLM applications and agentic workflows, including model serving, agent orchestration, evaluation, deployment, lifecycle management, and enterprise controls.
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