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Own the roadmap for the core compute platform, focusing on workload orchestration, control plane capabilities, and platform observability. Partner with engineering to translate technical requirements into execution plans for AI infrastructure scaling.
Requires 5+ years of experience in infrastructure software or distributed systems with a proven track record of delivering technical platform products. Preferred experience includes AI infrastructure, GPU scheduling, Kubernetes, and the NVIDIA software ecosystem.
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/.
Emerald AI is building the software platform that enables AI infrastructure to intelligently orchestrate compute in response to power availability, grid conditions, and operational constraints. We are looking for a Senior Product Manager to own the core platform powering our technology.
This is a highly technical product role where you'll work alongside engineering to define platform capabilities, translate complex customer and technical requirements into clear product direction, and drive execution from concept through production. You'll operate at the intersection of distributed systems, AI infrastructure, cloud platforms, and data center software.
If you enjoy solving deeply technical infrastructure problems, partnering closely with engineers, and building products from first principles, we'd love to talk.
Own the roadmap for Emerald AI's core compute platform, including workload orchestration, control plane capabilities, APIs, telemetry, and platform observability.
Define product capabilities that intelligently orchestrate AI workloads across distributed compute infrastructure while ensuring reliability, scalability, and performance.
Partner closely with engineering to translate product strategy into clear, technically rigorous requirements and execution plans.
Drive the evolution of platform services, including workload power profile simulation, NVIDIA DSX integrations, and telemetry pipelines.
Work directly with customers and internal stakeholders to understand infrastructure workflows, operational challenges, and platform requirements.
Lead platform releases from planning through deployment, ensuring high quality, operational readiness, and a seamless customer experience.
Prioritize platform investments by balancing customer value, technical complexity, and long-term architectural goals.
5+ years of product management experience building infrastructure software, cloud platforms, or distributed systems.
Experience delivering highly technical platform products, including APIs, control planes, or developer-facing infrastructure.
Demonstrated ability to write exceptionally clear product requirements, technical specifications, and acceptance criteria.
Proven ability to drive ambiguous technical problems from concept to execution while balancing customer needs and engineering constraints.
Excellent prioritization, written communication, and cross-functional leadership skills.
Comfortable operating in a fast-moving, early-stage startup environment and partnering closely with senior engineering teams.
Experience with AI infrastructure, GPU scheduling, or large-scale compute orchestration.
Experience building platform or infrastructure software products.
Familiarity with observability platforms, telemetry pipelines, monitoring systems, or infrastructure instrumentation.
Experience with Kubernetes, workload schedulers (e.g., Slurm), or distributed compute platforms.
Exposure to NVIDIA's AI software ecosystem, including NVIDIA DSX and related technologies.
Experience with power-aware scheduling, workload optimization, or data center infrastructure is a plus.
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.
Intelligence to transform energy-intensive AI data centers into AI-powered grid allies. http://emeraldai.co/
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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