Job summary
Job post source
This job is directly from Lambda
Job overview
The Technical Sourcing Manager at Lambda leads sourcing strategies for AI infrastructure components, ensuring supply chain efficiency and alignment with company goals in AI cloud hardware.
Responsibilities and impact
The role involves vendor sourcing, supplier evaluation, negotiation, contract management, supplier relationship building, and cross-team collaboration to support Lambda's AI infrastructure scaling and operational goals.
Compensation and benefits
The position offers an annual salary range of $130,000 to $187,000, with additional benefits including health, dental, vision coverage, wellness and commuter stipends, 401k with company match, flexible paid time off, and equity compensation.
Experience and skills
Candidates need 10+ years in supply chain roles related to data center or AI hardware, strong technical literacy, negotiation skills, OEM/ODM management experience, and proficiency with ERP tools; a master's degree and AI hardware sourcing experience are preferred.
Work environment and culture
Lambda values diversity and inclusion, offers a flexible paid time off plan, and supports a hybrid work environment with presence required four days a week in the San Jose office.
Company information
Lambda is a leading GPU cloud provider founded in 2012 with about 350 employees, known for AI/ML infrastructure products and strong investor backing, experiencing rapid growth and profitability.
Team overview
The candidate will join the Operations team responsible for end-to-end AI infrastructure sourcing, data center operations, and cross-company coordination to ensure reliable and scalable AI-IaaS services.
Job location and travel
The job is located in San Jose, California, requiring four days per week in-office presence with one designated work-from-home day.
Unique job features
The role includes unique opportunities to work with cutting-edge AI hardware sourcing, OEM/ODM strategies, and engagement with top-tier suppliers and executive-level partnerships.
Company overview
Lambda is a cutting-edge technology company specializing in deep learning infrastructure, providing high-performance GPU cloud services and workstations tailored for AI research and development. They generate revenue by offering scalable cloud solutions, on-premises hardware, and software tools that enable organizations to accelerate their machine learning workflows. Founded in 2012, Lambda has established itself as a key player in the AI industry, partnering with leading research institutions and enterprises to advance the field of artificial intelligence.
How to land this job
Position your resume to highlight extensive experience in supply chain management specifically within data center, cloud, compute, and AI hardware environments, emphasizing your technical literacy with server, networking, and storage components.
Focus on showcasing your negotiation skills, vendor management expertise, and your ability to develop sourcing strategies and supplier engagement programs that align with business and technical roadmaps.
Apply through multiple channels including Lambda's official career page, LinkedIn job postings, and relevant industry job boards to maximize your application visibility.
Connect with professionals in Lambda’s Operations and Supply Chain divisions on LinkedIn; open conversations by referencing Lambda’s leadership in AI infrastructure or by asking about their experience working on GPU cloud sourcing strategies.
Optimize your resume for ATS by incorporating keywords such as 'AI infrastructure sourcing,' 'OEM/ODM management,' 'total cost of ownership,' 'supplier relationship management,' and specific technologies like 'H100' or 'liquid cooling infrastructure' if applicable.
Utilize Jennie Johnson's Power Apply feature to automate multi-channel applications, tailor your resume for ATS compliance, and identify LinkedIn contacts to network with, saving time and increasing your chances of landing the role at Lambda.
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