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1–2 jobs· newest first

Product Manager - AI SDK / Model-Serving Product Manager - USNew
Majestic Labs · Los Altos, US
Full-time
Product Manager - AI SDK / Model-Serving Product Manager - ILNew
Majestic Labs · Raanana, Israel

+10K new in the last hour

Product Manager - AI SDK / Model-Serving Product Manager - US

Majestic Labs · Posted Nov 11, 2026

Los Altos, California, United States
Full-time
5–8 years

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AI

Apply on careers page

Lead product strategy and roadmap for AI infrastructure stack, defining compiler, runtime, and framework integration features.

Responsibilities

Translate customer, engineering, and business requirements into detailed Product Requirements Documents (PRDs), technical specifications, and feature definitions.
Develop detailed product schedules, milestone plans, and release timelines while managing dependencies across multiple engineering organizations.
Define requirements for the software and AI model compilation toolchain.
Lead product partnerships and technical integrations with major machine learning frameworks and runtimes.
Define performance optimization roadmap for low-level operator libraries.

Requirements

Master of Science (M.Sc.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Doctor of Philosophy (Ph.D.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Nice to have: MBA
Nice to have: open-source AI infrastructure contributions
Nice to have: frontier AI lab experience

Skills

product management software systems engineering compiler technologies deep learning frameworks developer platform tools CUDA Triton high-performance C++ DSP libraries parallel computing inference serving HPC scale-out distributed memory architectures networking protocols PyTorch JAX vLLM SGLang Hugging Face Optimum Triton Inference Server SLURM Ray LMCache MLIR/LLVM

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Product Manager - AI SDK / Model-Serving Product Manager - IL

Majestic Labs · Posted Nov 11, 2026

Raanana, Central District, Israel
5–8 years

Apply with RefersoAI Apply on careers page

Lead product management for AI infrastructure stack, defining roadmap for compiler, runtime, and framework integration.

Responsibilities

Translate customer, engineering, and business requirements into detailed Product Requirements Documents (PRDs), technical specifications, and feature definitions.
Develop detailed product schedules, milestone plans, and release timelines while managing dependencies across multiple engineering organizations.
Define requirements for the software and AI model compilation toolchain.
Lead product partnerships and technical integrations with major machine learning frameworks and runtimes.
Define performance optimization roadmap for low-level operator libraries.

Requirements

Master of Science (M.Sc.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Doctor of Philosophy (Ph.D.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Nice to have: MBA
Nice to have: open-source AI infrastructure contributions
Nice to have: frontier AI lab experience

Skills

product management software systems engineering compiler technologies

deep learning frameworks

developer platform tools

high-performance C++ DSP libraries

multi-threaded parallel computation

inference serving

HPC scale-out infrastructures

distributed memory architectures

networking protocols

Hugging Face Optimum

Triton Inference Server

See full job description