
Enterprise Product Manager
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in United States.
• Take ownership of the product strategy and roadmap for 0G's enterprise AI infrastructure solutions.
• Collaborate directly with enterprise clients to grasp their technical needs, workflows, challenges, and barriers to adoption.
• Convert customer and business needs into precise product requirements, PRDs, and engineering priorities.
• Work closely with engineering teams on product architecture, project scope, trade-offs, and delivery timelines.
• Differentiate between unique customer requests and features that should evolve into scalable platform products.
• Coordinate with Business Development (BD) and Go-To-Market (GTM) teams on enterprise agreements, focusing on product feasibility, roadmap consistency, and solution positioning.
• Specify product requirements across various domains including compute, storage, APIs, networking, security, observability, billing, and usage management.
• Manage prioritization considering customer demand, engineering limitations, and long-term product vision.
• Lead products through all stages from discovery and initial development to launch, adoption, and ongoing iteration.
• Establish and monitor product metrics such as adoption rates, utilization, performance, reliability, cost, and revenue impact.
• Perform competitive analysis in the realms of AI infrastructure, GPU cloud, storage, and developer infrastructure.
• Formulate pricing, packaging, and commercialization strategies alongside business teams.
• Create feedback loops between enterprise customers, BD, and engineering departments.
• Represent the product in detailed technical discussions with customers and partners.
• A minimum of 5 years of experience in product management or a closely related field, preferably in developing technical B2B or enterprise products.
• Familiarity with cloud infrastructure, AI/ML infrastructure, compute, storage, databases, networking, developer platforms, or other technical products.
• Proven success in working closely with enterprise clients and transforming their needs into scalable product features.
• Demonstrated competence in collaborating with engineering teams on technically intricate products.
• Strong product judgment with the ability to prioritize competing customer, commercial, and engineering demands.
• Ability to discuss APIs, cloud architecture, and distributed systems comfortably with technical teams.
• Experience managing products from discovery and requirements gathering through to launch and iteration.
• Excellent written and verbal communication skills.
• Ability to operate independently in a dynamic startup environment with evolving priorities and ambiguity.
• Preferred: experience with GPU compute, AI training/inference infrastructure, IaaS/PaaS, Kubernetes, storage, or distributed systems.
• Preferred: background in an AI infrastructure, cloud, database, or developer-infrastructure startup.
• Preferred: experience in building 0→1 enterprise infrastructure products.
• Preferred: knowledge of pricing, packaging, usage-based billing, or enterprise commercialization.
• Preferred: experience working directly with enterprise sales/BD on significant customer opportunities.
• An opportunity to contribute to making AI a public resource.
• A self-directed work environment where you can take initiative to shape your role and career path.
• Market-competitive compensation, including exposure to pre-launch tokens for most roles.
• Reimbursements for a comprehensive range of experiences and courses.
• Access to Transcendental Meditation.
• Opportunities for Landmark Education.
• Participation in the Art of Communication workshops.
• Access to a Speech Coach.
• Fitness, gym, and exercise memberships/classes.
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