Software Technical Program Manager at Majestic Labs

Job description

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 Requirements • 10+ years in program/project management, including 5+ years leading technically complex, multi-stakeholder programs • Track record of managing multi-team technical programs with interdependent workstreams and hard performance/correctness requirements • 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 • Software development experience with infrastructure projects like storage, OS, and hardware bring-up. • Experience managing or scaling data center operations, cloud infrastructure (AWS, GCP, Azure), or hyperscaler / on-premises server deployments • 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 • 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 We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges. Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!

Requirements

Must-haves

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
10+ years in program/project management, including 5+ years leading technically complex, multi-stakeholder programs
Track record of managing multi-team technical programs with interdependent workstreams and hard performance/correctness requirements
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

Nice-to-haves

Software development experience with infrastructure projects like storage, OS, and hardware bring-up.
Experience managing or scaling data center operations, cloud infrastructure (AWS, GCP, Azure), or hyperscaler / on-premises server deployments
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
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

Application prep

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