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Enterprise Product Manager

Job not on LinkedIn

🕒 August 18

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

Where this job comes from

Posted on 0G Labs's careers page, not through a job board

First seen by Remote Rocketship August 18

Still open on 0G Labs's site. Checked 9 hours ago.

Logo of 0G Labs

0G Labs

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

₿ Crypto

🌐 Web 3

💰 $40M Seed on 2024-12

Artificial Intelligence • Crypto • Web 3

0G is a blockchain-native AI infrastructure platform that combines an EVM-compatible Layer 1 chain with verifiable, private GPU compute, high-throughput storage for AI datasets and model weights, and on-chain identity for autonomous agents. It runs frontier AI models (including its own 0GM-1. 0 and alignment nodes) and provides developer tooling — SDKs, docs, builder hubs, and an app/agent launchpad — plus enterprise-facing products for confidential inference and verifiable model provenance. 0G also operates a token and DeFi-linked features (staking, staking-to-compute credits, bridges, and trading), and emphasizes verifiability, privacy, and on-chain settlement for AI runs and data.

📋 Description

• 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 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 with business teams • Build feedback loops between enterprise customers, BD and engineering • Represent the product with customers and partners during deep product or technical discussions

🎯 Requirements

• 5+ years of product management or closely related experience, ideally building technical B2B or enterprise products • Experience with cloud infrastructure, AI/ML infrastructure, compute, storage, databases, networking, developer platforms or similarly technical products • Strong track record 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: experience with GPU compute, AI training/inference infrastructure, IaaS/PaaS, Kubernetes, storage or distributed systems • Preferred: experience at an AI infrastructure, cloud, database or developer-infrastructure startup • Preferred: experience building 0→1 enterprise infrastructure products • Preferred: experience with pricing, packaging, usage-based billing or enterprise commercialization • Preferred: experience partnering directly with enterprise sales/BD on large customer opportunities

🏖️ Benefits

• The opportunity to contribute to making AI a public good • A self-directed environment where you can take initiative to shape your role and career • Market-competitive compensation including, for most roles, exposure to pre-launch tokens • Reimbursements towards a holistic set of experiences and courses • Transcendental Meditation • Landmark Education • Art of Communication • Speech Coach • Fitness, gym and exercise memberships/classes

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