Enterprise Product Manager (AI Infrastructure)

Location: Remote

Company

hirify.global develops AI infrastructure products for enterprise customers, covering compute, storage, and related developer infrastructure.

What you will do

• Own product strategy, roadmap, prioritization, and execution for enterprise AI infrastructure offerings.
• Work directly with enterprise customers to understand technical requirements, workflows, pain points, and adoption blockers.
• Translate customer and commercial needs into product requirements, PRDs, and engineering priorities.
• Partner with engineering on architecture, scope, trade-offs, delivery, and scalable platform capabilities.
• Drive products from discovery and 0→1 development through launch, adoption, and iteration.
• Define product metrics and develop competitive, pricing, packaging, and commercialization strategies with BD and GTM teams.

Requirements

• 5+ years of product management or closely related experience, ideally with technical B2B or enterprise products.
• Experience with cloud infrastructure, AI/ML infrastructure, compute, storage, databases, networking, developer platforms, or similarly technical products.
• Strong experience working with enterprise customers and translating their needs into scalable product capabilities.
• Ability to work closely with engineering teams and discuss APIs, cloud architecture, and distributed systems.
• Experience owning products from discovery and requirements through launch and iteration.
• Strong product judgment, communication skills, independence, and comfort operating amid ambiguity and changing priorities.

Nice to have

• Experience with GPU compute, AI training or inference infrastructure, IaaS/PaaS, Kubernetes, storage, or distributed systems.
• Experience at an AI infrastructure, cloud, database, or developer-infrastructure startup.
• Experience building 0→1 enterprise infrastructure products.
• Experience with pricing, packaging, usage-based billing, enterprise commercialization, or large customer opportunities.

Culture & Benefits

• Opportunity to contribute to making AI a public good.
• Self-directed environment with room to shape the role and career.
• Market-competitive compensation, including potential exposure to pre-launch tokens for most roles.
• Reimbursements for meditation, communication, speech coaching, education, and fitness or gym memberships.