Enterprise Product Manager

This Product Manager role focuses on scaling AI infrastructure products for enterprise customers. You will bridge the gap between complex engineering capabilities and commercial viability in a technical B2B environment.

What you’d own

Product strategy and roadmap for enterprise AI infrastructure
Translation of customer needs into PRDs and engineering priorities
0-to-1 product development from discovery to launch
Pricing, packaging, and commercialization strategies

Who it’s for

A fit if you…

✓You have 5+ years of experience building technical B2B or cloud infrastructure products.
✓You can comfortably discuss APIs, distributed systems, and cloud architecture with engineers.
✓You have a track record of working directly with enterprise customers to build scalable capabilities.

Not for you if…

✗You prefer a highly structured environment over a fast-moving startup with ambiguity.
✗You prefer working on consumer-facing products rather than deep infrastructure (compute, storage, networking).
✗You are looking for a role with clearly defined tasks rather than one requiring independent initiative.

Reading between the lines

The emphasis on 'distinguishing one-off customer requests from scalable platform products' implies you will face significant pressure to say no to high-value individual customers.
The requirement to work with BD on 'product feasibility' suggests you will be involved in pre-sales technical validation and scoping.

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Benefits

Wellness

Full 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

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0G Labs builds a modular Layer 1 blockchain designed specifically for AI applications and autonomous agents, combining decentralized storage, verifiable compute, data availability, and an AI-first chain into a single stack. Developers use it to run AI inference and store large datasets onchain with cryptographic verifiability, aiming to make AI actions transparent and auditable. The project targets Web3 builders creating decentralized AI apps, and its mainnet went live in September 2025 with a token-based ecosystem and hundreds of partners. It has raised substantial pre-seed and seed funding from crypto-focused investors like Hack VC and OKX Ventures. For a PM, it sits at the intersection of two fast-moving spaces, crypto infrastructure and AI, where the product surface is still being defined.

Developer Tools & InfrastructureAI & Machine Learning