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Director, Product Management - Inference as a Service (IaaS) at MARA. Location Information: Remote. . Summary. :. . MARA is seeking a Director of Product Management to lead the strategy, development, and deployment strategy for our IaaS platform. You'll bridge technical, operational, and customer-facing teams to build scalable inference infrastructure that supports real-world AI applications. Your focus will be on enabling clients to deploy and scale ML models on dedicated compute with maximum performance and uptime.. . ESSENTIAL DUTIES AND RESPONSIBILITIES. include the following. Other duties may be assigned.. . · Define and drive the product vision and roadmap for our Inference as a Service offering.. . · Gather and prioritize customer requirements from AI developers, enterprise users, and internal stakeholders.. . · Collaborate with engineering, data center ops, and energy teams to ensure the compute infrastructure meets IaaS needs (e.g., GPU availability, latency targets).. . · Work closely with sales and business development to support customer onboarding and ensure alignment with SLAs.. . · Identify market trends, emerging AI inference patterns (LLMs, vision, etc.), and integrate them into product strategy.. . · Define product KPIs, collect usage data, and iterate quickly based on performance insights.. . · Ensure the IaaS platform meets compliance, cost-efficiency, and environmental goals.. . QUALIFICATIONS. : To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.. . · 8–12+ years of product management, ideally in data infrastructure, cloud services, or AI/ML domains.. . · Strong technical understanding of ML inference workloads and GPU/accelerator environments.. . · Proven experience launching infrastructure products or platforms used by technical teams.. . · Excellent communication and stakeholder management skills across engineering and non-technical functions.. . · Experience with tools like Kubernetes, Triton, or model-serving platforms is a plus.. . PREFERRED EXPERIENCE:. . · Direct experience in Bitcoin mining or high-performance computing (HPC) environments.. . · Familiarity with immersion cooling systems, phase-change materials, or liquid-cooled infrastructure.. . · Experience with SCADA, PLCs, or other industrial monitoring and automation platforms.. . · Strong knowledge of energy infrastructure, including transformers, switchgear, and power delivery to edge computing sites.. .