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Regional Sales Manager, Silicon Valley

salary Salary :

$208,000 - 250,000 yearly

icon briefcase Job Type : Full Time

Number of Applicants

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000+

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Job Description - Regional Sales Manager, Silicon Valley


Overview


We are seeking a high performing Sr. Regional Sales Manager with a strong hunger mentality to drive revenue growth for DRAM- and NAND Flash-based memory modules and SSD solutions across OEM accounts in Silicon Valley and the Western United States.


Reporting to the VP of Sales, this role focuses on new business acquisition, design wins, and strategic account expansion within Tier 1 and Tier 2 OEM customers. The ideal candidate brings 3–5 years of direct memory sales experience into OEMs and a strong understanding of semiconductor manufacturing, supply dynamics, and memory technology positioning in compute, networking, AI, storage, embedded, and semiconductor manufacturing applications.


 


Responsibilities



  • Drive new design wins and revenue growth across assigned OEM accounts

  • Identify qualify, and close new business opportunities across Silicon Valley and Western U.S.

  • Develop and execute regional growth strategy

  • Maintain a robust opportunity pipeline with accurate forecasting

  • Negotiate pricing agreements, long-term supply contracts, and strategic partnerships

  • Build executive-level and engineering-level relationships within OEM organizations

  • Support product qualification and design-in cycles

  • Position DRAM, NAND Flash, and SSD solutions based on performance, endurance, reliability, cost structure, and supply continuity

  • Coordinate with FAEs and internal technical teams to support customer integration efforts

  • Position solutions across:

    • DRAM (DDR4, DDR5, LPDDR)

    • NAND Flash (SLC, MLC, TLC, QLC)

    • SSD Architectures (NVMe, SATA)

    • Memory modules for enterprise, embedded, and industrial applications

    • Semiconductor manufacturing equipment applications




 


Qualifications



  • Bachelor’s degree in Engineering, Business, or Computing Science

  • 5+ years of experience selling DRAM, NAND Flash, memory modules or SSD solutions

  • Proven track record of new business development (hunter profile required)

  • Experience selling into OEM customers, compute, storage, networking, AI hardware, embedded systems, or semiconductor manufacturing equipment)

  • Strong understanding of:

    • DRAM architectures and market positioning

    • NAND Flash technologies and endurance profiles

    • SSD interface standards and performance metrics

    • Semiconductor manufacturing fundamentals and supply chain dynamics



  • Experience managing design-in and qualifications cycles

  • Outstanding verbal, written, and interpersonal communication skills.


 


Location


California – Silicon Valley


 


Travel


20%


 


Compensation & Benefits


The on target earnings range that the Company reasonably expects to pay for this position in California is $208,000 - $250,000; the pay ultimately offered may vary based on business considerations, including job-related knowledge, skills, experience, and education. The position is commission-eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.   


 


Inclusion and Belonging Statement 


We are committed to creating an inclusive environment that embraces differences and fosters belonging for all. 


 


Equal Opportunity Statement                                                              


We are an Affirmative Action/Equal Opportunity Employer and strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.


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About the Company

Penguin Cc Solutions

Penguin Solutions designs, builds, deploys, and manages large, complex Al and high-performance computing (HPC) infrastructures at scale.

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