Hiring: Senior Product Manager, AI Cloud Services Company: Emerald AI Location: Washington DC-Baltimore Area Job Posted Time: 2026-09-10 14:56:27 Target Skills & Keywords : Kubernetes, Product Management, Product Strategy About the job Experience: •5+ years of product management experience building cloud infrastructure, developer platforms, or enterprise software. Required Skills: •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. •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. •Interface directly 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. Qualifications: •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. •Demonstrated capacity to independently lead complex cross-functional initiatives. •Comfortable operating in a fast-paced, early-stage startup. •Operational familiarity with NVIDIA GPUs, Kubernetes, Slurm, or distributed AI training. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!