Sr Manager IoT Segment Leader Edge and AI Compute Aug 2026

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design development and fabrication services to some of the worlds most inspired technology companies. With a global manufacturing footprint spanning three continents GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information visit .

Summary of Role:

As an End Market Sr. Manager for Edge and AI Compute you will help shape GFs strategy for MCU MPU/NPU FPGA and AI-enabled embedded compute applications. This U.S.-based role focuses on where GF should win which customers and applications to prioritize and what technology capabilities are needed to support growth in areas such as industrial edge AI smart home robotics physical AI vision systems and connected devices.

The role requires a strong mix of semiconductor market knowledge customer engagement and technical judgmentespecially around how MCU and AI processor requirements translate into process choices for power performance cost memory connectivity and integration.

You will report to the Vice President of the Home & Industrial IoT End Market at GlobalFoundries.

Essential Responsibilities:

• Own the End Market strategy for Edge and AI Compute with examples including MCU MPU/NPU FPGA AI co-processors embedded vision sensor fusion and physical AI applications.
• Build a clear market view of where GF should hunt including priority applications key customers value-chain players market size competitive position and growth opportunities.
• Translate customer and application needs into technology requirements; examples include low-power operation SRAM and embedded memory needs RF/connectivity security mixed-signal integration and cost targets.
• Support priority design-win opportunities by helping Sales and Product Lines position GFs value in relevant customer engagements.
• Develop practical customer and market collateral such as Why GF slides application examples competitive positioning and repeatable selling plays.
• Create and maintain Market Requirements Documents that clearly explain what GF needs to build or improve to win in selected Edge and AI Compute applications.
• Partner with Sales Product Management Technology Development Design Enablement and Business Intelligence to turn market insight into funnel growth design wins and tape-out revenue.
• Drive engagement and penetration at new and under-served customers by building strategic relationships with technical business and procurement decision-makers across the value chain positioning GF early in customer roadmaps technology selections and design-win opportunities.
• Monitor competitive technology architecture and ecosystem trends in areas such as Edge AI Physical AI robotics vision processing embedded memory connectivity and security translating insights into actionable business opportunities and roadmap recommendations.
• Develop and maintain a bottoms-up view of the Edge & AI Compute opportunity landscape including SAM analysis by application device and customer segment

Required Qualifications:

• Bachelors degree in Electrical Engineering Computer Engineering Semiconductor Engineering Physics or a related technical field.
• 8 years of experience in semiconductor product management technical marketing business development strategy systems engineering or customer-facing technical roles.
• Strong knowledge of MCU MPU/NPU FPGA edge AI or embedded compute markets including relevant customers applications and competitors.
• Ability to connect application requirements to process and platform choices; examples include power performance memory RF/connectivity security integration and cost.
• Demonstrated ability to build market models customer opportunity maps competitive assessments business cases and executive-ready recommendations.
• Strong customer-facing communication skills with the ability to engage both technical and business stakeholders.
• Ability to work across global Sales Product Lines Technology Development Design Enablement Business Intelligence and executive stakeholders.
• Position is located in the United States; travel may be required for customer and internal strategy engagements.

Preferred Qualifications:

• Masters degree in a technical field or MBA.
• Experience in applications such as embedded AI TinyML machine vision robotics industrial automation smart home wearables AI PC or physical AI systems.
• Experience with relevant foundry platforms or technologies such as FD-SOI 22FDX 28nm-class platforms embedded MRAM/RRAM/eFlash low-power SRAM or AI-optimized libraries.
• Relationships with MCU/MPU suppliers fabless semiconductor companies OEMs Tier 1s IP vendors or ecosystem partners in edge AI and embedded compute markets.
• Experience creating MRDs customer roadmaps competitive benchmarks Why GF messaging or executive market briefings.

Expected Salary Range

The exact Salary will be determined based on qualifications experience and location.