Senior Product Manager, Edge AI

Senior Product Manager | Edge AI / Semiconductor | Southern California

Are you the right candidate for this opportunity Make sure to read the full description below.

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 Edge xhyhwjd 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.