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Product Manager, AI Software Stack

Majestic Labs ai·Ra'anana, Israel·en
Sin especificarSin especificarGestión de productoComputer Hardware

Define and deliver software products that help developers and cloud infrastructure teams compile and run AI models efficiently on a custom AI computing platform.

Responsabilidades

  • Translate customer, engineering, and business needs into product requirements, technical specifications, and feature definitions.
  • Plan product milestones and releases, coordinating dependencies across engineering teams.
  • Set requirements and roadmap for compiler pipelines and AI model toolchains.
  • Lead integrations with machine learning frameworks and runtimes, including PyTorch, JAX, vLLM, SGLang, and Hugging Face Optimum.
  • Define performance roadmaps for low-level operator libraries and optimized kernels.
  • Set requirements for clustering and multi-node execution using tools such as SLURM, Ray, and LMCache.
  • Advocate for developer experience and remove barriers to compiling and running software in customer environments.

Requisitos

  • At least 5 years of product management or software systems engineering experience, including shipped compiler technology, deep learning frameworks, or developer platform tools.
  • Master’s or doctoral degree in computer science, electrical engineering, mathematics, or physics.
  • Strong understanding of CUDA, Triton, high-performance C++ libraries, and parallel computing.
  • Knowledge of inference-serving systems, batching, KV cache management, and latency-throughput tradeoffs.
  • Familiarity with HPC scale-out infrastructure, distributed memory architectures, and high-performance networking.
  • Experience in an accelerated software, cloud, or startup organization building complex AI compute systems.

Se valora

  • MBA or equivalent experience in technology commercialization or product strategy.
  • Contributions to open-source AI infrastructure, compilers, or performance optimization libraries.
  • Experience at a frontier AI lab or foundation model organization building large-scale distributed systems.

Compatibilidad

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