---
title: 'Enterprise Product Manager at 0g Labs'
canonical: 'https://feeny.ai/job/enterprise-product-manager-0g-labs-singapore-72g080kqhtrt'
type: 'job'
last_seen: '2026-09-11'
---

# Enterprise Product Manager at 0g Labs

- **Company:** 0g Labs
- **Location:** Singapore
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/0g/859cb27c-7bb8-4c80-8bd7-1c053a01d21a

## Job description

## 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](https://www.landmarkworldwide.com)
- Emotion: Art of Communication
- Presence: Speech Coach
- Body: Fitness, gym and exercise memberships/classes

## About 0g Labs

## Company Overview
- **One-liner**: 0G Labs builds a decentralized AI operating system (deAIOS) with modular infrastructure – including storage, compute, chain, and data availability – to power on-chain AI applications at scale.
- **Entity Type**: Private (startup; funding stage not disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2023
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: Blockchain infrastructure (Layer 1) and AI infrastructure.
- **Target customers**: B2B developers, enterprises building AI agents on blockchain, and any application needing decentralized storage or compute (works cross-chain with EVM and Solana).
- **Mission**: “Building the global foundation for a better, fairer, and more open AI ecosystem, where power is distributed and innovation thrives.”

## Products & Services
- **0G Chain** – Fastest modular EVM L1 designed for AI agents and DeFi with AI logic; low gas fees.
- **0G Storage** – Decentralized storage for massive AI models and datasets; claims 10–100x cheaper than alternatives.
- **0G Compute** – Decentralized GPU marketplace for AI inference and training, pay-per-use model.
- **0G Data Availability (DA)** – High-volume, economical DA service for rollups, L2s, and gaming chains.

All components work independently and can be integrated with existing chains via SDKs.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: 45 total employees (as of early 2025); claims data throughput of 50 GB/second (50,000x faster and 100x cheaper than competitors)
- **Notable Investors / Partners**: Not publicly available
- **Growth Signals**: Founded in 2023, already 45+ employees; active hiring for engineering, design, and finance roles; large open-source community on GitHub and Discord; positioned as the “largest AI Layer 1 blockchain” by throughput.

## Competitive Advantages
- **Modular architecture** – Users can adopt only the services they need (e.g., just Storage or just Compute) without migrating their existing chain.
- **Performance** – 50 GB/s data throughput with drastically lower cost compared to legacy decentralized storage/DA solutions.
- **Cross-chain compatibility** – Works with Ethereum, Polygon, Solana, and any EVM chain via SDKs.
- **Vertical integration** – Combines chain, storage, compute, and DA in one cohesive platform, targeting the Web3 × AI convergence.

## Strategic Focus
- Enable previously impossible use cases: on-chain AI agents that learn, decentralized ChatGPT, AI‑powered DeFi, medical AI with patient‑owned data, and large‑scale ML training without cloud vendor lock‑in.
- Continue building out the developer ecosystem and node operator network to decentralize hardware resources.

## Why Work Here
- **Culture**: Early‑stage startup with a mission to democratize AI infrastructure; strong open‑source ethos and a community of builders.
- **Work policy**: OnSite at the San Francisco office, with some remote positions available (e.g., “Product Designer – AI Application” is remote USA; “Finance Intern” is remote Singapore). The majority of roles expect in‑office presence.
- **Engineering culture**: Cutting‑edge work at the intersection of blockchain (L1) and AI, scaling infrastructure to handle real‑time AI workloads.
- **Perks**: Not explicitly detailed, but competitive for a Series‑A‑stage startup; the company offers stock options and the chance to shape a foundational protocol.

## Sources
1. [0g.ai](https://0g.ai/)  
2. [docs.0g.ai](https://docs.0g.ai/introduction/understanding-0g)  
3. [builtinsf.com](https://www.builtinsf.com/company/0g-labs)  
4. [builtin.com](https://builtin.com/company/0g-labs/jobs)

## Other roles at 0g Labs

- [AI Platform Engineer](https://feeny.ai/job/ai-platform-engineer-0g-labs-china-4aw93c4vf6tb) — China
- [Project Manager](https://feeny.ai/job/project-manager-0g-labs-singapore-p0g085nyzsqk) — Singapore
- [Junior Controller](https://feeny.ai/job/junior-controller-0g-labs-singapore-sjgnxkz5d74j) — Singapore
- [Product Engineer](https://feeny.ai/job/product-engineer-0g-labs-remote-cwtmdk1qs4ma)
- [Brand Design Lead](https://feeny.ai/job/brand-design-lead-0g-labs-los-angeles-yq4mfxkx3600) — Los Angeles, CA
- [Enterprise Business Development](https://feeny.ai/job/enterprise-business-development-0g-labs-remote-a93vzqm80wth)
- [Enterprise Product Manager](https://feeny.ai/job/enterprise-product-manager-snowflake-pune-cr17f7mkcfhb) — Pune, India
- [Enterprise Product Manager](https://feeny.ai/job/enterprise-product-manager-blacksmith-new-york-0aa9egntz0xv) — New York, NY
- [Enterprise Product Manager](https://feeny.ai/job/enterprise-product-manager-replit-foster-city-5mxwt5br4ffg) — Foster City, CA
- [Enterprise Product Manager](https://feeny.ai/job/enterprise-product-manager-fal-san-francisco-sc8xx1xkw5qn) — San Francisco, CA