Enterprise Product Manager

0G Labs; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

0G Labs is seeking an Enterprise Product Manager to develop AI infrastructure products for enterprise clients. You will lead the product strategy and roadmap, translating customer needs into scalable solutions and working closely with enterprise customers to define technical requirements.

You will partner with engineering to align architecture with customer needs, manage trade-offs, and drive successful adoption and iteration of AI infrastructure offerings.

Qualifications

• Experience translating customer needs into scalable AI infrastructure solutions.
• Strong technical and product-management skills with cloud experience.
• Ability to translate insights into clear product specifications and roadmaps.

Responsibilities

• Define product strategy and roadmap for AI infrastructure offerings.
• Collaborate with enterprise customers to identify technical requirements and challenges.
• Lead prioritization and trade-offs with engineering to ensure successful development and adoption.

Skills

Product management

Cloud

AI infrastructure

Stakeholder management

Education

Bachelor's degree in STEM or Business

Job description

0G Labs is looking for an Enterprise Product Manager to develop AI infrastructure products for enterprise clients. This role requires strong technical and product management skills, focusing on translating customer needs into scalable solutions. Ideal for candidates with experience in cloud and AI infrastructure.

In this role, you will lead the product strategy and roadmap for 0G Labs' AI infrastructure offerings, working closely with enterprise customers to identify their technical requirements and challenges. Your ability to translate these insights into clear product specifications will be crucial for driving product development from conception to launch.

You will collaborate with engineering teams to ensure that product architecture aligns with customer needs while managing trade-offs and prioritization. Success in this position means effectively balancing customer demand with engineering capabilities, leading to the successful adoption and iteration of AI infrastructure solutions.