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Overview
0G Labs is seeking an Enterprise Product Manager to shape and scale AI infrastructure products for enterprise customers. This remote full-time role requires strong product judgment and technical depth. 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.
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
- •Build feedback loops between enterprise customers, BD and engineering
- •Represent the product with customers and partners when deep product or technical discussions are required
Conditions
- •*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