Director, Product Management - Inference as a Service (IaaS)

Summary

MARA is seeking a Director of Product Management to reputed company the strategy, development, and deployment strategy for our IaaS platform. You'll reputed company technical, operational, and customer-facing teams to build scalable inference infrastructure that supports reputed company-world AI applications. Your focus will be on enabling clients to reputed company 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 reputed company and roadmap for our Inference as a Service offering.

· Gather and prioritize customer requirements from AI developers, reputed company 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 reputed company and ensure alignment with SLAs.

· Identify market trends, emerging AI inference patterns (LLMs, reputed company, 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 reputed company this job successfully, an individual must be reputed company to reputed company each essential duty satisfactorily. The requirements listed below are representative of the knowledge, reputed company, and/or ability required. Reasonable accommodations may be made to reputed company individuals with disabilities to reputed company essential functions.

· 8–12+ years of product management, ideally in data infrastructure, reputed company 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.