Senior Product Manager, AI Cloud Services

About the role

The Senior Product Manager, AI Cloud Services will lead the development and launch of Emerald Cloud Services, a next-generation AI cloud platform designed for large-scale AI training and inference. This role involves defining the product vision, strategy, and roadmap, conducting customer discovery and market research, and working closely with engineering, sales, business development, and marketing to bring new cloud services to market.

Key Responsibilities

• Define the product vision, strategy, and roadmap for Emerald’s Cloud Services platform, shaping how customers access, manage, and optimize AI compute.
• Conduct customer discovery and market research to identify emerging AI infrastructure needs and translate insights into differentiated offerings.
• Define product requirements for AI cloud services, including compute provisioning, management, APIs, developer workflows, and platform capabilities.
• Partner closely with engineering to deliver scalable products while balancing customer needs, technical complexity, and business priorities.
• Work with Sales, Business Development, and Marketing to define packaging, pricing, go-to-market strategy, and drive customer adoption.
• Lead products from initial concept through launch, iteration, and commercialization.
• Bring clarity to ambiguous problems and build alignment across customers, engineering, and business teams.

Minimum Requirements

• 5+ years of product management experience building cloud infrastructure, developer platforms, or enterprise software.
• Experience launching and scaling customer-facing software products from concept through commercialization.
• Exceptional customer empathy with a strong product discovery mindset.
• Excellent product intuition and ability to identify market opportunities.
• Strong analytical thinking and data-driven decision making.
• Outstanding written and verbal communication skills.
• Experience defining product strategy and prioritizing roadmaps in ambiguous environments.
• Ability to independently lead complex cross-functional initiatives.
• Comfortable operating in a fast-paced, early-stage startup.

Preferred Requirements

• Experience building AI infrastructure products.
• Familiarity with NVIDIA GPUs, Kubernetes, Slurm, or distributed AI training.
• Experience with cloud provisioning, identity, networking, storage, or infrastructure automation.
• Experience working with AI startups, enterprise ML teams, or cloud infrastructure providers.