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0G Labs is seeking an Enterprise Product Manager to lead product strategy and execution for AI infrastructure offerings targeting enterprise customers. This is a hands-on role sitting at the intersection of customer needs, business development, and engineering teams.
You will own the full product lifecycle—from discovery and requirements gathering through 0→1 development, launch, and iteration. Key responsibilities include:
• Developing and owning product strategy and roadmap for enterprise AI infrastructure products
• Working directly with enterprise customers to understand technical requirements, workflows, pain points, and adoption barriers
• Translating customer and commercial needs into clear product requirements, PRDs, and engineering priorities
• Partnering closely with engineering on product architecture, scope, trade-offs, and delivery timelines
• Distinguishing between one-off customer requests and capabilities that should become scalable platform products
• Collaborating with BD and GTM teams on enterprise deals, including product feasibility assessment, roadmap alignment, and solution positioning
• Defining product requirements across compute, storage, APIs, networking, security, observability, billing, and usage management
• Owning prioritization across competing customer demand, engineering constraints, and long-term product vision
• Defining and tracking key product metrics including adoption, utilization, performance, reliability, cost, and revenue impact
• Conducting competitive analysis across AI infrastructure, GPU cloud, storage, and developer infrastructure landscapes
• Developing pricing, packaging, and commercialization strategies with business teams
• Building feedback loops between enterprise customers, BD, and engineering
• Representing the product in deep technical discussions with customers and partners
Required qualifications: 5+ years of product management experience, ideally building technical B2B or enterprise products. Strong background working on cloud infrastructure, AI/ML infrastructure, compute, storage, databases, or developer platforms. Proven track record translating enterprise customer needs into scalable product capabilities. Ability to work closely with engineering teams on technically complex products. Comfortable discussing APIs, cloud architecture, and distributed systems. Experience owning products from discovery through launch and iteration. Strong communication skills and ability to operate independently in a fast-moving startup environment.
Preferred: Experience with GPU compute, AI training/inference infrastructure, IaaS/PaaS, Kubernetes, or distributed systems. Background at an AI infrastructure, cloud, database, or developer-infrastructure startup. Experience building 0→1 enterprise infrastructure products. Familiarity with pricing, packaging, usage-based billing, or enterprise commercialization. Direct partnership experience with enterprise sales/BD on large customer opportunities.
