Enterprise Product Manager
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What you'll do
- 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
What they're looking for
- 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
Nice to have
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 roles, exposure to pre-launch tokens
In addition, 0G Labs is committed to the health and well being of all of our team members. To that end, we provide reimbursements towards a holistic set of experiences and courses:
Core self: Transcendental Meditation
Mind: Landmark Education
Emotion: Art of Communication
Presence: Speech Coach
Body: Fitness, gym and exercise memberships/classes
Company
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