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ML
Majestic Labs ai
Software Technical Program Manager
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What they do
A Technical Program Manager oversees all aspects of technical projects for their organization. They focus on overseeing the development, implementation, and delivery of technical solutions or products, often involving software development, hardware engineering, or IT infrastructure. They may be responsible for initiating programs, monitoring their progress, and providing technical support if issues arise.
$189,166 / year median in California
Job Description
About Majestic Labs We're a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world's most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training. Backed by top-tier investors and led by industry veterans, we're scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. 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, unblocking development bottlenecks, mitigating risks, and translating 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 deliver servers reliably 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 Own end-to-end program management for projects spanning compiler infrastructure (IR design, optimization passes, codegen), custom AI kernel development, and GPU runtime/scheduling systems Partner closely with compiler engineers, kernel developers, and systems architects to build realistic roadmaps, break down complex technical work into sequenced milestones, and track progress against them Identify and manage cross-team dependencies Translate ambiguous technical goals into scoped, actionable project plans Run planning ceremonies and surface technical risk early Coordinate with hardware and silicon partners on integration timelines, driver dependencies, and co-design feedback loops Maintain project documentation, architecture decision records, and technical roadmaps in collaboration with engineering leads