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About the Role 0G is looking for an Enterprise Product Manager to help shape and scale our AI infrastructure products for enterprise customers. You will sit at the intersection of customers, business development, and engineering—understanding how enterprises want to use AI compute, storage and infrastructure, translating those needs into scalable products, and driving execution from discovery through launch and adoption. This is a hands-on role for someone who combines strong product judgment with enough technical depth to work closely with infrastructure engineers and enough commercial instinct to understand what enterprise customers will actually adopt and pay for. We are particularly interested in candidates who have built products in cloud infrastructure, AI infrastructure, compute, storage, databases, developer platforms, or other technically complex B2B environments. Responsibilities Own product strategy and roadmap for 0G's 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 clear product requirements, PRDs and engineering priorities Partner closely with engineering on product architecture, scope, trade-offs and delivery Distinguish one-off customer requests from capabilities that should become scalable platform products Work with BD and GTM teams on enterprise deals, including product feasibility, roadmap alignment and solution positioning Define product requirements across areas such as compute, storage, APIs, networking, security, observability, billing and usage management Own prioritization across customer demand, engineering constraints and long-term product strategy Drive products from discovery and 0→1 development through launch, adoption and iteration Define and track product metrics including adoption, utilization, performance, reliability, cost and revenue impact Conduct competitive analysis across AI infrastructure, GPU cloud, storage and developer infrastructure Develop pricing, packaging and commercialization strategies together with business teams Build feedback loops between enterprise customers, BD and engineering Represent the product with customers and partners when deep product or technical discussions are required Requirements 5+ years of product management or closely related experience , ideally building technical B2B or enterprise products Experience working on cloud infrastructure, AI/ML infrastructure, compute, storage, databases, networking, developer platforms or similarly technical products Strong track record of working directly with enterprise customers and translating customer needs into scalable product capabilities Demonstrated ability to work closely with engineering teams on technically complex products Strong product judgment and ability to prioritize competing customer, commercial and engineering requirements Comfortable discussing APIs, cloud architecture and distributed systems with technical teams Experience owning products from discovery and requirements through launch and iteration Strong written and verbal communication skills 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 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 or enterprise commercialization Experience partnering directly with enterprise sales/BD on large customer opportunities What we offer Purpose : The opportunity to contribute to making AI a public good Growth : A self-directed environment where you can take initiative to shape your role and career Compensation : Market-competitive compensation including, for most

Enterprise Product Manager

No apliques sin prepararte

Enterprise Product Manager

No apliques sin prepararte