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 RoleEmerald 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 ResponsibilitiesDefine 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.
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.
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.
Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.
Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.
Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.
Competitive pay + equity. Stock options let you share in the value you help create.
Comprehensive benefits, including medical, dental, vision, and 401(k) matching.
Flexible location. Work from D.C., Boston, or the Bay Area, with 2 WFH day/week.
Backed by top investors, including Radical Ventures and NVIDIA.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
Emerald AI strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.
Inclusiveness is core to our culture at Emerald AI, and we strive to ensure you get the most from your interview experience. Emerald AI makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.
Skills Required
- 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.
- 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.
Emerald AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Emerald AI and has not been reviewed or approved by Emerald AI.
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Healthcare Strength — Benefit descriptions consistently emphasize medical, dental, and vision coverage as part of the standard package. This signals a baseline level of health coverage that is positioned as comprehensive for roles being advertised.
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Retirement Support — Benefit language repeatedly includes 401(k) matching as part of the rewards package. This indicates retirement support is explicitly incorporated rather than left unspecified.
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Equity Value & Accessibility — Compensation positioning includes equity via stock options alongside pay. This frames ownership participation as a meaningful component of the overall rewards approach.
Emerald AI Insights
What We Do
Emerald AI transforms energy-intensive data centers into AI-powered grid allies. The Emerald AI Conductor platform enables AI data centers to flexibly adjust their power consumption from the electricity grid on demand, orchestrating the computing loads of inference, training, and fine-tuning AI models across a network of data centers to bolster the power grid’s reliability while meeting strict compute performance standards. Flexibility could unlock up to 100 GW, or more than a decade of U.S. AI data center growth and trillions in AI investment, without enormous investments in electric grids or power plants—advancing innovation and competitiveness, ensuring power affordability for communities across the country, and bolstering the reliability of the electric power system.
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