Enterprise Product Manager - AI Infrastructure

About the role

0G is looking for an Enterprise Product Manager to help shape and scale its AI infrastructure products for enterprise customers. The role sits at the intersection of customers, business development and engineering: understanding how enterprises want to use AI compute, storage and infrastructure, turning those needs into scalable products and driving execution from discovery through launch and adoption. It suits someone who combines strong product judgment with technical depth to work closely with infrastructure engineers and commercial instinct to understand what customers will adopt and pay for.

Key responsibilities

• Own the product strategy and roadmap for the 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 product architecture, scope, trade-offs and delivery
• Distinguish one-off customer requests from scalable platform capabilities
• Work with BD and GTM teams on enterprise deals, including feasibility, roadmap alignment and solution positioning
• Own requirements across compute, storage, APIs, networking, security, observability, billing and usage management
• Drive products from discovery and 0 to 1 development through launch, adoption and iteration
• Define and track metrics such as adoption, utilization, performance, reliability, cost and revenue impact
• Run competitive analysis across AI infrastructure, GPU cloud, storage and developer infrastructure
• Help define pricing, packaging and commercialization strategies
• Build feedback loops between customers, BD and engineering, and represent the product with customers and partners

Required profile

• 5+ years of product management or closely related experience, ideally on technical B2B or enterprise products
• Experience working on cloud infrastructure, AI/ML infrastructure, compute, storage, databases, networking or developer platforms
• Track record of working with enterprise customers and turning their needs into scalable product capabilities
• Ability to work closely with engineering teams on technically complex products
• Comfortable discussing APIs, cloud architecture and distributed systems with technical teams
• Comfortable operating independently in a fast-moving startup with ambiguity and changing priorities

Preferred qualifications

• Experience with GPU compute, AI training/inference infrastructure, IaaS/PaaS, Kubernetes, storage or distributed systems
• Startup experience in AI infrastructure, cloud, database or developer-infrastructure
• Building 0 to 1 enterprise infrastructure products
• Pricing, packaging, usage-based billing or enterprise commercialization
• Partnering directly with enterprise sales/BD on large customer opportunities

What we offer

• Market-competitive compensation, including exposure to pre-launch tokens for most roles
• Reimbursements for core self (Transcendental Meditation), mind (Landmark Education), emotion (Art of Communication), presence (Speech Coach) and body (fitness, gym and exercise memberships)
• A self-directed environment with growth opportunities