SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Majestic Labs AI is a US-Israeli AI startup building next-generation infrastructure for large-scale AI workloads. They deliver full-stack custom AI servers optimized for inference and training, backed by top-tier investors and led by industry veterans.
You will 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 hybrid role bridges technical depth with operational rigor, managing complex, multi-disciplinary projects spanning hardware design, procurement, deployment, network architecture, and production scaling.
Key responsibilities include:
- 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
- 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
- Coordinate multiple suppliers and manufacturing partners, optimizing production workflows
- Work closely with silicon, software and systems engineers, ML teams, business and operations to ensure products are robust, reliable, and production-ready
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
