More jobs:
AI Product Management
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-03-01
Listing for:
Neurips
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
AI Engineer, Product Designer, Product Engineer
Job Description & How to Apply Below
Overview
Job Overview
At Arm, we’re enabling the next wave of AI innovation - from cloud to edge, data center to device. Our AI Product Managers play a pivotal role in turning cutting‑edge research and engineering into real‑world solutions that scale across billions of devices. As part of a globally trusted ecosystem, you’ll define and shape products that power the future of intelligent, energy‑efficient computing.
We’re looking for AI‑focused Product Managers who thrive at the intersection of technology, strategy, and customer need - individuals who can align market trends with technical innovation, and help bring transformative AI products to life.
ResponsibilitiesAs an AI Product Manager at Arm, your role may include:
- Defining and owning product roadmaps for AI/ML software, hardware, tools, or platforms
- Identifying emerging AI market opportunities and customer needs across domains
- Working closely with engineering, research, and design teams to guide product development
- Collaborating with business development and partner teams to support go‑to‑market strategy
- Ensuring delivery of impactful, scalable solutions aligned with Arm’s long‑term vision
- Demonstrated experience in product management, technical program management, or product strategy
- Familiarity with AI/ML technologies, platforms, or development workflows
- Strong ability to synthesize market trends, customer feedback, and technical input into clear product direction
- Excellent cross‑functional collaboration and communication skills
- Ability to work across a range of stakeholders - from engineers to executives
- A strategic mindset with a drive to build products that solve real problems at scale
- Experience with AI deployment in edge, embedded, cloud, or mobile environments
- Exposure to AI frameworks (e.g., Tensor Flow, PyTorch), ML compilers, or hardware accelerators
- Background in developer tooling, ML model optimization, or platform product management
- Prior involvement in launching or scaling AI or infrastructure products
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