Product Manager jobs in Ra'anana

At D-Fend Solutions, our people are our greatest strength — and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats. As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones — with precision and reliability. Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. We’re proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies. We’re seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment — those who want to be part of the next generation of airspace security innovation. Join D-Fend Solutions and help make the world a safer place. Become a D-Fender! Work with the world’s leading cyber-takeover counter-drone technology provider and shape the future of safe airspace. We are seeking an experienced, highly technical Senior Hardware Product Manager to own the end-to-end product lifecycle, operational sustaining, regulatory qualification, and sales enablement for our deployment kits and complex hardware configurations. In this role, you will serve as the single point of truth for major strategic kit initiatives. You will bridge hardware engineering, manufacturing scaling, regulatory compliance, and commercial execution- working cross-functionally across R&D, System Engineering, Operations, Quality, and Sales to drive physical product maturity, reliability, and market deployment. Key Responsibilities: • HW Product Ownership & PLCM: Own the end-to-end PLCM policy for deployment kits, managing product roadmap, definitions and execution through release and ongoing lifecycle evolution. • Inbound Leadership: Drive internal initiatives and prioritize System, SW and HW team efforts to ensure aligned execution. • Domain SME: Serve as the primary technical subject matter expert for deployment form factors, environmental constraints, and hardware kit capabilities. • Operations & Sustaining: Sustain day-to-day hardware health including design for manufacturability, supply chain issue mitigation, production scaling support, and root-cause resolution of field hardware defects (RMAs) with Quality and R&D. • Compliance, Qualification & Certification: Oversee kit-level regulatory, military, and environmental testing such as FCC/CE, MIL-STD 810/461, EMC/EMF etc. • Sales Enablement: Drive domain-specific sales enablement, including marketing materials, user documents (Installation Manuals, ICDs, Product Descriptions), and technical support for presale and customer inquiries. Requirements & Qualifications: • 5+ years of hands-on Hardware Product Management or Technical Program Management experience in defense, aerospace, telecom, or complex multidisciplinary industries. • B.Sc. in Electrical Engineering, Mechanical Engineering, Systems Engineering, or a related technical field. • Proven track record of taking complex hardware systems through full PLCM cycles to commercial release. • Direct experience with hardware sustaining (manufacturing, DFM, BOM management) and regulatory/environmental testing (MIL-STD, EMC/EMF, IP ratings, FCC/CE). • Direct experience creating technical product documentation, sales enablement materials, and handling customer-facing inquiries. • Superior verbal and written skills in both English and Hebrew, with the interpersonal ability to bridge communication between deep technical experts, business leadership, and external partners

Description 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 are building the next generation of AI infrastructure-from custom silicon to the servers and systems that power the world's largest AI models. Our vertically integrated approach enables us to optimize every layer of the AI compute stack, delivering breakthrough performance, efficiency, and scalability. We're looking for an experienced Product Manager who thrives at the intersection of the data center server grade hardware, systems engineering, and AI. In this role, you will define product strategy and execution for AI accelerator platforms, server architectures, and infrastructure products that enable true best-in-class inference on frontier-scale models. You will work closely with silicon architects, hardware/systems engineers, software teams, AI researchers, operations, and executive leadership to bring complex products from concept through deployment. Responsibilities  • Product Management / Operations: own the server product definition: chassis, thermals, power, serviceability, cabling, rack integration, ODM requirements, data center compatibility, and the translation of architecture into a buildable server specification. • Define product feature set. Translate customer, engineering, and business requirements into detailed Product Requirements Documents (PRDs), technical specifications, and feature definitions. • Own and develop detailed product schedules, milestone plans, and release timelines while managing dependencies across all engineering teams. • Product Strategy: • Develop near, mid- and long-term product strategy and roadmap for next generation product spanning custom silicon, server platforms, and system-level architecture. • Develop near, mid- and long-term product strategy for modified product configurations and new product lines. • Articulate product vision, success metrics and product positioning in the market . • Prioritize features, functionality, and technical investments based on customer value, competitive landscape, engineering complexity, and business objectives. • Product reviews, executive updates, and roadmap planning with senior leadership. • Interfaces: • Architecture team to jointly analyze emerging AI workloads and translate them into future hardware and system capabilities. • System engineers and ODM to optimize deployment, performance, power efficiency, cooling, networking, and total cost of ownership. • Software teams to ensure seamless integration across firmware, drivers, runtime software, orchestration, and AI frameworks. • Bizops to develop competitive analyses across AI infrastructure providers, hyperscalers, semiconductor companies, and emerging AI platform vendors. Requirements • 10+ years of product management experience across data center infrastructure, server hardware, cloud platforms, semiconductors, AI systems, or distributed systems. • Proven track record of leading highly technical, multidisciplinary infrastructure products from concept through scaled production. • Expertise in developing PRDs, technical specifications, and product roadmaps while driving prioritization, milestones, and release planning. • Strong analytical and communication skills, with the ability to make data-driven decisions and align executive stakeholders with deeply technical engineering teams. Preferred qualifications  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Physics, or a related technical discipline. • MBA or equivalent in product strategy or technology commercialization. • Product management experience at large hyperscaler/neo-clouds, frontier AI labs and AI HW/server companies, or similar organizations developing large-scale AI systems. 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!

Description 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 are building the next generation of AI infrastructure-from custom silicon to the servers and systems that power the world's largest AI models. Our vertically integrated approach enables us to optimize every layer of the AI compute stack, delivering breakthrough performance, efficiency, and scalability. We’re looking for a visionary, highly technical Senior Product Manager who thrives at the intersection of data center infrastructure, server-grade hardware and software, systems engineering, and AI to lead our AI software stack, compiler platform, and server system software. This role is responsible for defining and delivering the software ecosystem that makes Majestic's system completely seamless for developers and cloud infrastructure teams. You will own the compiler roadmap, runtime engines, and framework integrations that translate standard deep learning model representations into highly optimized execution paths on the Ignite APU. 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. • Compiler Pipeline and Toolchain Roadmap: Define requirements for the software and AI model compilation toolchain • Framework Integration and Interoperability: Lead product partnerships and technical integrations with major machine learning frameworks and runtimes, ensuring native support for PyTorch, JAX, vLLM, SGLang, and Hugging Face Optimum without requiring customer code modifications. • High-Performance Kernel Optimization Roadmap: Define performance optimization roadmap for low-level operator libraries, including BLAS, custom OpenAI Triton kernels • Scale-Out and Clustering Orchestration: Define requirements for clustering and multi-node scale-out configurations, ensuring seamless execution across scale-out setups utilizing SLURM, Ray, LMCache, etc. • Developer Platform Usability: Act as the primary advocate for developer experience, monitoring how software compiles and executes in customer sandboxes, and proactively removing the need for manual memory management scripts, custom compiler hacks, or API wrappers. Requirements • Education: Master of Science (M.Sc.) or Doctor of Philosophy (Ph.D.) in Computer Science, Electrical Engineering, Mathematics, or Physics is a strict, non-negotiable requirement. • AI Software Stack Expertise: Minimum of 5 to 8 years of experience in product management or software systems engineering, with a proven track record of shipping compiler technologies, deep learning frameworks, or developer platform tools. • Parallel Programming Fluency: Deep theoretical and practical understanding of CUDA, Triton, high-performance C++ DSP libraries, and multi-threaded parallel computation paradigms. • Scale-Out Infrastructure Knowledge: Demonstrated familiarity with HPC scale-out infrastructures, distributed memory architectures, and networking protocols designed for high-performance clustering. • Prior experience at accelerated software, cloud, or startup organizations building complex AI compute systems, such as NVIDIA, Meta, Google, AWS, SambaNova, Cerebras, Groq, or Lightning AI. Preferred Qualifications  • MBA or equivalent experience in technology commercialization or product strategy. • Active contributions to open-source AI infrastructure projects, compilers (MLIR/LLVM), or performance optimization libraries. • Direct experience working inside a frontier AI lab or foundation model organization (e.g., OpenAI, Anthropic, xAI, Google DeepMind) developing large-scale distributed systems. 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!