Principal Product Manager (Edge AI, LLM & Agentic Workflows)

Location: Palo Alto, California, United States of America

Salary: $147,050–$230,850 USD annually, with additional bonus and/or equity opportunities for United States of America candidates.

Company

hirify.global develops Edge AI and enterprise technology solutions, including software, hardware, services, and ecosystem integrations.

What you will do

• Define the vision, strategy, roadmap, requirements, and product outcomes for LLM and agentic inference capabilities within hirify.global’s Edge AI solutions organization.
• Conduct customer discovery, market and competitive analysis, business-case development, and prioritization for enterprise LLM applications, AI agents, and workflow automation.
• Define model-serving, inference software, deployment, runtime, scaling, backend integration, and hirify.global Z Runtime requirements across local, on-premises, and hybrid environments.
• Define requirements for agent orchestration, tool use, enterprise system integration, human oversight, failure recovery, security, privacy, governance, monitoring, versioning, updates, rollback, access controls, and auditability.
• Coordinate engineering, peer product managers, hardware, services, operations, customers, ISVs, and ecosystem partners on requirements, acceptance criteria, pilots, integrations, and production readiness.
• Partner with marketing and sales on target customers, differentiated value, pricing and packaging, launch plans, sales enablement, and outcome measurement including adoption, reliability, usability, latency, cost, and time to production.

Requirements

• 10+ years of relevant experience, including substantial product management responsibility for enterprise software, AI software, developer tools, or infrastructure products, with ownership of strategy, roadmaps, and delivery.
• Experience delivering LLM-enabled applications or inference solutions, with technical fluency in model serving, retrieval-augmented generation, agent orchestration, tool use, evaluation, and failure handling.
• Experience defining model deployment and lifecycle-management requirements, including monitoring, versioning, updates, and enterprise supportability.
• Understanding of local, on-premises, and hybrid deployment constraints and the ability to translate workload needs into requirements for engineering and hardware partners.
• Working fluency with Python-based AI ecosystems, APIs, SDKs, and developer tooling sufficient to evaluate integration and deployment approaches alongside engineering.
• Experience translating enterprise integration, security, privacy, and governance needs into product requirements.
• Experience collaborating with technology partners and peer product managers to deliver integrated solutions and manage shared dependencies.
• Strong analytical judgment and experience using customer feedback, deployment findings, and performance evidence to prioritize product improvements.
• Ability to influence cross-functional teams without direct authority, communicate with technical and executive audiences, and translate strategy into prioritized requirements and acceptance criteria.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent relevant professional experience.

Nice to have

• Experience evaluating build, buy, and partner options for enterprise platforms or integrated technology solutions.
• Experience with open-source AI ecosystems and enterprise model-serving or agent-orchestration platforms.
• Experience supporting product positioning, pricing and packaging decisions, and go-to-market execution for enterprise technology offerings.
• MBA or an advanced degree in a relevant technical field.

Culture & Benefits

• Health, dental, vision, life, disability, and employee assistance program coverage.
• Flexible spending account and generous paid time-off policies.
• Four to twelve weeks of fully paid parental leave based on tenure.
• Eleven paid holidays plus flexible paid vacation and sick leave.