
51 - 200 employees
Founded 2023
π€ Artificial Intelligence
βΏ Crypto
π Web 3
π° $40M Seed on 2024-12
Artificial Intelligence β’ Crypto β’ 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 β SDKs, docs, builder hubs, and an app/agent launchpad β 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.
π August 17
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π° Business Development (BDR)
π» Ghost score 12%
Where this job comes from
Posted on 0G Labs's careers page, not through a job board
First seen by Remote Rocketship August 17
Still open on 0G Labs's site. Checked 9 hours ago.

51 - 200 employees
Founded 2023
π€ Artificial Intelligence
βΏ Crypto
π Web 3
π° $40M Seed on 2024-12
Artificial Intelligence β’ Crypto β’ 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 β SDKs, docs, builder hubs, and an app/agent launchpad β 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.
β’ Own the full enterprise sales cycle across APAC, from prospecting and qualification through negotiation and close β’ Build pipeline from the ground up, with a strong focus on new-logo acquisition β’ Sell 0G's compute, storage, and AI infrastructure solutions to enterprises, AI companies, developers, and other high-compute or data-intensive customers β’ Engage CTOs, CIOs, Heads of AI, infrastructure leaders, engineering teams, procurement teams, and other senior decision-makers β’ Understand customers' AI, compute, storage, and infrastructure requirements and translate them into a compelling commercial proposition β’ Develop account strategies for complex enterprise opportunities and drive deals through multi-stakeholder buying processes β’ Lead commercial negotiations, pricing discussions, proposals, and contract execution β’ Work closely with product and engineering teams when technical support is required, while remaining accountable for moving the commercial process forward β’ Build relationships across the APAC AI and enterprise technology ecosystem β’ Represent 0G at relevant customer meetings, industry events, and conferences β’ Provide direct customer feedback to help shape product, positioning, pricing, and go-to-market strategy
β’ Approximately 5β12 years of B2B technology sales experience β’ Proven quota-carrying enterprise sales track record β’ Demonstrated experience personally sourcing, progressing, negotiating, and closing new enterprise customers β’ Strong new-business hunting skills and ability to generate own pipeline β’ Experience selling technically complex products or infrastructure β’ Comfortable selling to technical stakeholders and senior business decision-makers β’ Strong commercial judgment and negotiation skills β’ Comfortable operating without a mature sales playbook, large support organization, or established brand β’ Able to move quickly, operate independently, and adapt as priorities and products evolve β’ Based in Singapore, Hong Kong, or other SEA countries β’ Strong knowledge of APAC enterprise markets β’ Fluent English communication skills β’ Experience in AI infrastructure or GPU cloud, cloud compute or infrastructure, data infrastructure, enterprise storage, databases or data platforms, HPC or accelerated computing, developer infrastructure, infrastructure SaaS/PaaS, or data center/cloud connectivity solutions is highly relevant β’ Experience at an early-stage or high-growth technology company is a strong plus
β’ Market-competitive compensation including, for most roles, exposure to pre-launch tokens β’ Reimbursements towards a holistic set of experiences and courses β’ Transcendental Meditation β’ Landmark Education β’ Art of Communication β’ Speech Coach β’ Fitness, gym and exercise memberships/classes β’ Self-directed environment where you can take initiative to shape your role and career β’ Opportunity to contribute to making AI a public good
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