Senior Product Manager, AI Silicon & IP

Senior Product Manager | Edge AI / Semiconductor | Southern California

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This role is based in Southern California. Relocation assistance is available for the right candidate.

Edge AI is becoming one of the most important shifts in computing — bringing intelligence out of the cloud and directly onto devices.

We're a well-funded semiconductor company building AI silicon, IP, and developer technology for next-generation Edge AI applications. We're looking for a Senior Product Manager to help shape the roadmap across AI IP, neural network models, developer software, and silicon hardware.

This is a highly visible role for someone who can operate at the intersection of technology, market strategy, engineering, and customers , and translate emerging AI capabilities into products the market wants.

What You'll Own

• Own the product lifecycle and roadmap across silicon devices, evaluation kits, development platforms, neural network IP, and developer software
• Define product priorities and drive roadmap execution in close partnership with engineering
• Build business cases around market trends, customer needs, ecosystem timing, and competitive differentiation
• Translate technical capabilities into clear product positioning, value propositions, presentations, white papers, and customer-facing collateral
• Serve as a key product voice in engineering trade-offs, requirements, and prioritization
• Evaluate external technologies and strategic partnerships that can extend the platform
• Represent the company in relevant industry and standards organizations

What We're Looking For

• Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field; MBA a plus
• 5–10 years of product management experience, ideally within semiconductors, AI/ML, embedded computing, or adjacent technologies
• Meaningful experience with AI semiconductor IP in a technical, product, or commercial capacity
• Strong understanding of xhyhwjd Edge AI/ML architectures, neural networks, embedded systems, and the broader AI ecosystem
• Experience leading cross-functional and geographically distributed teams
• Ability to move comfortably between deep technical discussions and commercial/product strategy
• Track record of building product and go-to-market strategies that translate into adoption

Where the Technology Shows Up

Think smart cameras and computer vision, industrial automation and sensors, robotics, always-on voice, intelligent IoT, and next-generation embedded devices, anywhere AI needs to operate locally, instantly, privately, and efficiently without relying on the cloud.