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Sr Manager - IoT Segment Leader Edge and AI Compute - Aug 2026

GlobalFoundries

Santa Clara, CAFull-time$143–275K/yrPosted 1mo agoStill listed today

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At a glance

Compensation
$143–275K/yr
Location
Santa Clara, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

GlobalFoundries seeks an End Market Sr. Manager for Edge and AI Compute to shape strategy for MCU, MPU/NPU, FPGA, and AI-enabled embedded compute applications. The role identifies priority markets, customers, and technology capabilities; translates customer needs into platform requirements; and supports design wins through customer engagement, market analysis, and collaboration across internal teams. It reports to the Vice President of the Home & Industrial IoT End Market.

Skills & qualifications

RequiredNice to have

Skills

Semiconductor Market Knowledge, requiredCustomer Engagement, requiredTechnical Judgment, requiredMCU and Embedded Compute Markets, requiredMarket Modeling, requiredCustomer Opportunity Mapping, requiredCompetitive Assessment, requiredBusiness Case Development, requiredExecutive Recommendations, requiredCustomer Communication, requiredCross-Functional Collaboration, requiredEmbedded AI, nice to haveTinyML, nice to haveMachine Vision, nice to haveRobotics, nice to haveIndustrial Automation, nice to haveSmart Home, nice to haveWearables, nice to haveAI PC, nice to havePhysical AI Systems, nice to haveFoundry Platforms, nice to haveFD-SOI, nice to have22FDX, nice to have28nm-Class Platforms, nice to haveEmbedded MRAM/RRAM/eFlash, nice to haveLow-Power SRAM, nice to haveAI-Optimized Libraries, nice to haveMRD Creation, nice to haveCustomer Roadmaps, nice to haveCompetitive Benchmarking, nice to haveExecutive Market Briefings, nice to have

Qualifications

Bachelor's in Related Technical Field, required8+ Years Relevant Experience, requiredMaster's in Technical Field or MBA, nice to have

Full job description

About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s 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 www.gf.com.

Summary of Role: As an End Market Sr. Manager for Edge and AI Compute, you will help shape GF’s 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 judgment—especially 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 GF’s 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

Other Responsibilities:

  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

  • Bachelor’s 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:

  • Master’s 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 $143,000.00 - $275,000.00 The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

How this job compares

Set against the 10,560 open Product Management jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This posting$143–275K/yr
  • California median$177–264K/yr1,449 salary ranges
  • US median$147–218K/yr8,606 salary ranges

This range's midpoint, $209K, is 6% below the California median midpoint ($222K) — in the middle half of Product Management salary ranges in California.

Openings
Olive Jobs lists 1,717 open Product Management jobs in California and 10,560 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 8 years of experience; Product Management postings that state a minimum ask for 7 years at the median (8,897 postings).
Education
This posting asks for a bachelor's degree; 3,213 of the 10,560 open Product Management jobs (30%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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