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Staff Engineer Commodity Manager
Staff Engineer Commodity ManagerLinkedIn • Mountain View, California, USA
Staff Engineer Commodity Manager

Staff Engineer Commodity Manager

LinkedIn • Mountain View, California, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

This role will be based in Mountain View CA.

We are looking for a Commodity Manager / NPI lead to drive sourcing strategy cost management and supply assurance for our datacenter hardware portfolio. This role ensures we have secure scalable and cost-efficient access to critical components for new products that support LinkedIns rapidly growing global compute this role you will collaborate closely with engineering Capacity planning finance and our global commodity vendor ecosystem to deliver cost effective and reliable infrastructure at scale.

Responsibilities :

  • Commodity strategy and market intelligence - Develop and own the strategy across CPU GPU DRAM NAND HDD etc. Monitor market trends silicon transitions pricing cycles supply health and technology roadmaps. Provide insights to inform LRP and annual hardware budget decisions.
  • Supplier and Vendor Management - Manage day-to-day and strategic relationships with suppliers across silicon and component vendors. Lead QBRs roadmap alignment sessions and performance scorecards. Drive escalations to resolve supply quality or commercials.
  • Supply Assurance and Allocations - Secure quarterly and annual supply allocations with commodity vendors partner with supply planning to ensure accuracy in consumption and forecast to prevent shortages. Mitigate risk for long lead time items partnering with engineering on SKU selection.
  • Cost and Commercial Ownership - Lead negotiations including pricing LTAs volume discounts rebates. Develop cost models to influence engineering decisions and identify cost optimizations through multi vendor strategies and roadmap optimization.
  • Quality reliability and lifecycle management - Oversee product qualification in partnership with Hardware engineering to influence architecture decisions and vendor selection. Drive quality improvements RMA terms AFR metrics and supplier corrective actions. Drive decisions on EOL transitions component refresh cycle and adoption of new technology.
  • Cross functional leadership - Work closely with engineering to influence hardware architecture decisions and vendor selection. Partner with capacity planning supply planning and DC operations to understand deployment needs / timelines. Collaborate with finance on cost forecast and CapEx modeling.

Qualifications :

Basic Qualifications :

  • Bachelors degree in Supply Chain Management Mechanical Engineering Electrical Engineering or related field
  • 10 years of experience in commodity management vendor management and hardware sourcing or supply chain for datacenter / enterprise.
  • Experience managing silicon memory and storage components
  • Experience with silicon lifecycles DRAM / NAND market dynamics and datacenter hardware architecture.
  • Proven negotiation experience and ability to manage executive level relationships.
  • Experience leading complex technical programs in compute storage or networking hardware
  • Experience with analytical skills with ability to model cost supply and risk tradeoffs.
  • Experience working with suppliers contract manufacturers and global production teams
  • Preferred Qualifications :

  • Masters degree in an engineering discipline
  • Experience with hyperscale infrastructure or data center environments
  • Demonstrated ability to work closely with C-level executives particularly for commodities to ensure alignment on NPI roadmaps and best in class pricing / availability
  • Familiarity with ERP solutions and hardware PLM tools
  • Demonstrated ability to influence decision-making across engineering operations and sourcing
  • Experience with infrastructure supply ecosystem and risk mitigation strategies
  • Suggested Skills :

  • Systems Thinking
  • Cross-functional Communication
  • Stakeholder Management
  • Hardware Infrastructure
  • You will Benefit from our Culture :

    We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels

    LinkedIn is committed to fair and equitable compensation practices.

    The pay range for this role is $133000 to $216000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.

    The total compensation package for this position may also include annual performance bonus stock benefits and / or other applicable incentive compensation plans. For more information visit Information :

    Equal Opportunity Statement

    We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.

    LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

    If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.

    Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to :

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview
  • A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.

    LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

    San Francisco Fair Chance Ordinance

    Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

    Pay Transparency Policy Statement

    As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link : Data Privacy Notice for Job Candidates

    Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants : Work :

    No

    Employment Type : Full-time

    Key Skills

    Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems

    Department / Functional Area : Engineering

    Experience : years

    Vacancy : 1

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