Technical Operational Program Manager - AI Infrastructure

About Majestic Labs

Majestic Labs is a deep-tech pioneer re-architecting AI systems for the data center to systematically dismantle the industry's most critical barrier: the "memory wall." Backed by a $100 million Series A closed in late 2025.  

We’re a fast-moving AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence by delivering cutting-edge server solutions optimized for large-scale inference and training. Backed by top-tier investors and led by industry veterans, we’re scaling rapidly and looking for a dynamic partnerships leader to help us win the trust of enterprise and hyperscaler customers.

We are a US-Israeli company looking for builders-engineers and operators who have shipped production hardware and know the crucial difference between compelling research and systems that operate at massive scale.

If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position

We're seeking an experienced Technical Program Manager with operational expertise to lead large-scale, cross-functional engineering programs, unblock development bottlenecks, mitigate  risks, and translate complex system architecture into actionable timelines for internal teams and ODM partners. This is a hybrid role that bridges technical depth with operational rigor — you'll manage complex, multi-disciplinary projects involving hardware design, procurement, deployment, network architecture, and preparation to scale. This role encompasses coordinating multiple suppliers and manufacturing partners, optimizing production workflows, and ensuring we reliably deliver our products to meet customer commitments.  You'll work closely with silicon, software and systems engineers, ML teams, as well as business and operations to ensure our products are robust, reliable, and production-ready.

Responsibilities

• Program Planning & Execution: Develop roadmaps and manage end-to-end AI server deployment programs, tracking milestones, dependencies, and critical path across teams.  Identify and remove development bottlenecks to ensure on-time execution. 
• Technical Program Management: Understand hardware specifications (silicon, interconnect, server, rack) and system architecture; participate in design reviews and translate technical decisions into program impact.. 
• Cross-Functional Leadership: Align engineering, product, finance, and the ODM on priorities and timelines, serving as connective tissue between technical and business stakeholders.
• Supply Chain Management: Partner with Business Development to ensure timely availability of components (silicon, memory, cables and connectors, cooling, NICs, PCBs, and more).
• Manufacturing Partner Coordination: Manage ODM/contract manufacturer relationships across PCB fabrication, integration, test, assembly, and QA, ensuring clarity of specs, test plans, and delivery commitments. 
• Operational Excellence: Build processes, metrics, and dashboards to improve product delivery and eliminate bottlenecks.
• Risk & Dependency Management: Proactively identify technical, procurement, and operational risks; partner with Business Development and Systems Engineering on mitigation.
• Resource Management and Timeline: Track program budgets, lead times, and hardware costs with finance and leadership to optimize resource use.
• Documentation & Communication: Document key decisions and architecture; communicate status, blockers, and outcomes to all stakeholder levels.

• 10+ years in program/project management, including 5+ years leading technically complex, multi-stakeholder programs
• Track record scaling manufacturing from prototype to volume production
• Strong operational background: defining processes, metrics, and driving efficiency
• Technical fluency in data center, networking, or compute infrastructure; able to engage deeply with engineers
• Conceptual familiarity with AI compute, distributed training, or inference systems
• Excellent written/verbal communication across technical and non-technical audiences
• Proficiency with Jira, Asana, Monday.com, or similar; comfort with data/metrics dashboards

Preferred Qualifications

• Experience managing or scaling data center operations, cloud infrastructure (AWS, GCP, Azure), or hyperscaler / on-premises server deployments
• Familiarity with HW procurement cycles, vendor management, and supply chain logistics
• Background in DevOps, infrastructure engineering, or site reliability engineering (SRE)
• Experience with AI/ML infrastructure, GPU clusters, or distributed computing systems
• PMP, CAPM, or equivalent program management certification
• Previous role in a high-growth tech or AI company

Skills & Attributes

• Analytical, data-driven decision-making with a metric-driven mindset (dashboards, KPIs)
• Comfortable with ambiguity; able to bring clarity and proactively manage risk and contingency
• Strong stakeholder influence, collaborative leadership, and attention to both detail and big-picture outcomes
• Strong written and verbal communication skills

At Majestic Labs, we are shaping the next paradigm and making AI ubiquitous by building radically better infrastructure across the entire stack-from system engineering and VLSI to compilers and AI applications. This epic mission requires a relentless culture of innovation, grit, and tireless dedication, Majestic-Labs’s employees are our most important asset. We are stronger together, which is why we cultivate a safe, respectful, and collaborative environment where we follow the best ideas based on science and merit, not hierarchy. 

Majestic is proudly an equal opportunity employer deeply committed to diversity of race, religion, gender, sexual orientation, background, and thought. If you are ready to dare greatly, learn from mistakes, bring your authentic voice to vigorous debates, and help us create a step function in human technical capability, you belong here.