Senior Product Manager, AI Cloud Services

Company: Emerald AI

Location: Boston, MA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-02

About this role

About Emerald AI

We’re at a pivotal moment for AI and energy. Demand for compute is skyrocketing, but power constraints are becoming a critical bottleneck. Emerald AI sits at the intersection of these two worlds, enabling AI data centers to scale without overwhelming the grid.

Our Emerald Conductor software platform makes data centers flexible and responsive, allowing them to adjust power usage dynamically. This unlocks massive AI growth without major new infrastructure, while also strengthening the grid and supporting the expansion of renewable energy.

We’re a team of experts across AI, cloud, software, and energy—on a mission to scale AI sustainably. We’re backed by leading investors and partners including Radical Ventures and NVIDIA.

Learn more about our vision, team, and backers at
https://www.emeraldai.co/
.

About the Role

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.

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...

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