Enterprise Product Manager
0g Labs · Remote · Singapore ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote role
- Enterprise AI Infrastructure
- 5+ years PM experience
- Technical B2B focus
- Token compensation potential
You will define the strategy and roadmap for 0G's enterprise AI infrastructure offerings, acting as the link between customers, business development, and engineering. The role requires translating complex technical requirements into clear product priorities and driving execution from initial discovery through launch and adoption.
This hands-on position demands strong product judgment and technical depth to work effectively with infrastructure engineers. You will distinguish between one-off requests and scalable platform capabilities, ensuring the product meets both commercial goals and user needs in the AI compute and storage space.
What you'll do
- Own product strategy and roadmap for enterprise AI infrastructure
- Translate customer needs into clear product requirements and PRDs
- Partner with engineering on architecture, scope, and delivery trade-offs
- Distinguish one-off requests from scalable platform capabilities
- Support BD teams with feasibility checks and solution positioning
- Define requirements for compute, storage, APIs, and security
- Drive products from discovery through launch and iteration
- Track metrics including adoption, performance, and revenue impact
- Conduct competitive analysis across AI and GPU cloud infrastructure
- Develop pricing and packaging strategies with business teams
What you'll need
- 5+ years in product management or related technical roles
- Experience building technical B2B or enterprise products
- Background in cloud, AI/ML, compute, storage, or networking
- Track record of working directly with enterprise customers
- Ability to collaborate closely with engineering on complex tech
- Comfort discussing APIs, cloud architecture, and distributed systems
- Experience owning products from discovery to launch
- Strong written and verbal communication skills
- Ability to operate independently in a fast-moving startup
Nice to have
- Experience with GPU compute or AI training/inference infra
- Knowledge of Kubernetes, IaaS/PaaS, or distributed systems
- Background at an AI, cloud, or developer-infrastructure startup
- Experience building 0→1 enterprise infrastructure products
- Familiarity with usage-based billing and enterprise commercialization
- History of partnering with sales on large customer opportunities
Stack
- AI Infrastructure
- Cloud Compute
- Storage Systems
- APIs
- Kubernetes
- Distributed Systems
- GPU Compute
What you get
- Market-competitive compensation package
- Exposure to pre-launch tokens for most roles
- Reimbursements for Transcendental Meditation
- Access to Landmark Education courses
- Art of Communication training support
- Speech coaching services
- Fitness, gym, and exercise membership reimbursements