Senior Manager - IoT Segment Leader Edge and AI Compute (AI)

Location: Santa Clara, United States

Salary: $143,000–$275,000 per year

Company

hirify.global is a semiconductor foundry providing design, development, and fabrication services through a global manufacturing footprint.

What you will do

• Own the Edge and AI Compute end-market strategy across MCU, MPU/NPU, FPGA, AI co-processors, embedded vision, sensor fusion, and physical AI applications.
• Build market views covering priority applications, customers, value-chain participants, market size, competitive position, and growth opportunities.
• Translate customer and application needs into requirements for power, performance, memory, RF/connectivity, security, mixed-signal integration, and cost.
• Support priority design wins by partnering with Sales and Product Lines on customer engagement and positioning.
• Create market collateral, competitive positioning, “Why GF” messaging, Market Requirements Documents, and customer roadmaps.
• Partner with Sales, Product Management, Technology Development, Design Enablement, Business Intelligence, and executives to convert market insight into funnel growth, design wins, and tape-out revenue.

Requirements

• 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 customers, applications, and competitors.
• Ability to connect application requirements with semiconductor process and platform choices.
• Experience building market models, opportunity maps, competitive assessments, business cases, and executive recommendations.
• The position is located in the United States; travel may be required for customer and internal strategy engagements.

Nice to have

• Master’s degree in a technical field or an MBA.
• Experience with embedded AI, TinyML, machine vision, robotics, industrial automation, smart home, wearables, AI PC, or physical AI systems.
• Experience with 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.
• Experience creating MRDs, customer roadmaps, competitive benchmarks, “Why GF” messaging, or executive market briefings.

Culture & Benefits

• Full-time employment at a global semiconductor foundry.
• Work includes collaboration across global Sales, Product Lines, Technology Development, Design Enablement, Business Intelligence, and executive stakeholders.
• Activities must follow Environmental, Health, Safety & Security requirements and programs.
• Reasonable accommodations are available during the employment process.