Enterprise Product Manager
Quick Summary
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,
About the Role
~1 min read0G 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
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Own product strategy and roadmap for 0G's enterprise AI infrastructure offerings
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Work directly with enterprise customers to understand technical requirements, workflows, pain points and adoption blockers
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Translate customer and commercial needs into clear product requirements, PRDs and engineering priorities
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Partner closely with engineering on product architecture, scope, trade-offs and delivery
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Distinguish one-off customer requests from capabilities that should become scalable platform products
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Work with BD and GTM teams on enterprise deals, including product feasibility, roadmap alignment and solution positioning
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Define product requirements across areas such as compute, storage, APIs, networking, security, observability, billing and usage management
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Own prioritization across customer demand, engineering constraints and long-term product strategy
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Drive products from discovery and 0→1 development through launch, adoption and iteration
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Define and track product metrics including adoption, utilization, performance, reliability, cost and revenue impact
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Conduct competitive analysis across AI infrastructure, GPU cloud, storage and developer infrastructure
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Develop pricing, packaging and commercialization strategies together with business teams
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Build feedback loops between enterprise customers, BD and engineering
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Represent the product with customers and partners when deep product or technical discussions are required
Requirements
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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
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
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- August 18, 2026
- First seen
- August 18, 2026
- Last seen
- August 18, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 59%
- Scored at
- August 18, 2026
Signal breakdown
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