About this opportunity
Stealth AI Startup lists this Senior Product Manager, Edge AI opportunity in santa clara county, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Product Manager | Edge AI / Semiconductor | Southern California
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 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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.