Lead Technical Program Manager, Critical Facility Operations

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔧 Technical Program Manager

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Cerebras

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔧 Hardware

🤖 Artificial Intelligence

☁️ SaaS

Hardware • Artificial Intelligence • SaaS

Cerebras is a company that builds wafer-scale AI chips (the Wafer-Scale Engine) and systems purpose-built for ultra-fast AI inference and training. They offer the CS-3 system and Cerebras Inference Cloud with drop-in OpenAI API compatibility, enable on-premise, cloud, and edge deployment, and partner with companies like AMD, CrowdStrike, Flex, and major enterprises. Their product messaging emphasizes extremely large chips (58x larger than GPUs), massive speed and throughput (up to 15x faster inference, thousands of tokens per second), and use cases across model serving, fine-tuning, and pre-training. Customers include OpenAI, Meta, GSK, Mayo Clinic, AWS, and others; applications span AI infrastructure, real-time agents, genomics, drug discovery, cybersecurity, and enterprise search. Cerebras focuses on high-performance AI hardware and integrated software/platform offerings for training and inference.

📋 Description

• Lead critical facility operations operational readiness for incoming sites, coordinating staffing, service coverage, maintenance, spares, training, procedures, monitoring, escalation paths, and turnover documentation • Engage colocation providers and translate contractual obligations into operational responsibilities, service reviews, escalation mechanisms, and action plans • Develop and operationalize operational programs covering command, communications, response exercises, reviews, root-cause analyses, and project execution • Establish the CFOps program portfolio, priorities, ownership, milestones, dependencies, and reporting • Coordinate operational acceptance with engineering, construction, commissioning, and receiving operations teams • Document and present gaps and residual risks to appropriate decision owners • Engage leadership and executives on the state of Operations and drive actionable next steps across teams and functions • Partner with Operational Engineering on program development and maturity, providing programmatic and execution support • Represent CFOps during site evaluation, contract development, expansions, and renewals • Partner with Acquisition, Contracts, and Engineering to define operational requirements, assess provider commitment gaps, and establish mitigations • Potentially lead the CFOps technical program-management function and business operations as the portfolio expands

🎯 Requirements

• 10+ years of experience in mission-critical infrastructure, including data center operations, engineering, construction, or technical program management • Proven experience leading complex programs across multiple sites, global teams, and cross-functional organizations • Strong technical background in electrical, mechanical, or controls systems, gained through direct operational or engineering responsibility in data centers • Experience working with lessors or colocation providers • Demonstrated success building, implementing, and sustaining programs adopted by operational teams • Working knowledge of data center white space, including servers, storage, networking equipment, racks, and associated data hall infrastructure • Strong incident management, operational readiness, and executive communication skills • Bachelor's degree in engineering or equivalent practical experience • Up to 50% travel in the first year required • Must satisfy applicable U.S. export-control requirements; access to controlled technology may require U.S. person status or government authorization/license

🏖️ Benefits

• Job stability with startup vitality • Simple, non-corporate work culture that respects individual beliefs • Continuous learning, growth and support • Opportunity to publish and open source cutting-edge AI research • Opportunity to work on one of the fastest AI supercomputers in the world • Fully remote work arrangement • Travel expectations, especially long-term, are negotiable

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