Senior Director, Software Product Management

Requirements

• As part of the Physical AI business unit, we are building the software platforms and ecosystems that bring AI into the real world—powering autonomous systems, robotics, and next-generation intelligent Physical AI form-factors.
• We are seeking a Senior Director of Software Product Management to define and lead the strategy, roadmap, and execution of Arm’s Physical AI software portfolio.
• This leadership role offers the opportunity to deliver industry-leading software platforms for autonomous systems and robotics while shaping products that span the full stack—from low-level compute enablement to AI frameworks and developer experiences.
• You will lead a critical function in one of Arm’s most strategic growth areas, building and developing a team of product managers while working multi-functionally with engineering, research, ecosystem partners, and go-to-market teams to deliver differentiated, scalable platforms aligned with Arm’s long-term vision and help shape the future of Physical AI. Key
• Responsibilities: Product Strategy & Vision Define the end-to-end product strategy for Physical AI software platforms, including middleware, runtime, SDKs, and AI frameworks Drive innovation in platforms supporting autonomous driving, robotics, and real-world AI systems Identify market opportunities through customer engagement, competitive analysis, and industry trends Drive long-term roadmap planning of compute, IP, and ecosystem strategy Execution & Delivery Responsibility for the full product lifecycle
• requirements for engineering Partner with engineering leadership to ensure execution aligns with product goals, timelines, and quality standards Software Platform Leadership Own product direction across multiple layers of the stack (system software, AI toolchains, robotics/autonomy stacks, developer platforms) Ensure cohesive integration across hardware, firmware, and software ecosystems for safety-critical and real-time systems Drive adoption through strong developer value propositions and ecosystem
• Experience leading multi-functional product portfolios in AI/ML, embedded systems, or compute platforms Direct
• experience in autonomous driving systems and/or robotics platforms , including: Perception, planning, or control systems Robotics middleware (e.g., ROS/ROS2) or autonomous driving stacks Real-time, safety-critical software systems (e.g., ISO 26262 or similar) Deep knowledge of software stacks for AI systems , including runtimes, compilers, frameworks, and developer tools
• Experience working with heterogeneous compute (CPU, GPU, NPU, SoC) in edge or embedded environments Strong commercial competence with