Senior Product Manager, AI Cloud Services

Emerald AI•Oakland, CA

5d•Hybrid

About The Position

Emerald AI is building a next-generation AI cloud platform designed for the era of large-scale AI training and inference. We believe cloud infrastructure should be intelligent, power-aware, and optimized for modern GPU workloads—not simply a collection of virtual machines. We're looking for a Senior Product Manager, AI Cloud Services to lead the definition and launch Emerald Cloud Services. This is a true 0→1 product role, responsible for discovering customer needs, shaping the product strategy, and bringing new cloud services to market. You'll work across engineering, design, commercial, and customers to build a differentiated AI cloud experience for enterprises, AI labs, and infrastructure providers.

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.

Nice To Haves

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.

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.