Sourcing Manager

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense. If you'd like to build the world's best deep learning cloud, join us. We’re looking for a Sourcing Manager to develop world class supply chain practices, manage our growing supplier base, and implement commercial and pricing strategies. *Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Develop commodity and category sourcing strategies to ensure suppliers are capable of meeting Lambda’s current and future technical and business requirements Maintain knowledge of technology and industry trends. Perform competitive analysis on relevant AI, storage, and networking technologies Establish the supplier selection process, evaluate alternate suppliers, drive the RFI/RFQ/RFP process, and drive final business awards  Provide technical and commercial expertise to engineering teams to improve the TCO and quality Negotiate with suppliers and partners to establish best in class pricing, quality, delivery, payment, and service terms. Develop benchmarks and should cost models Build an end to end ODM strategy to support Lambda’s growing cloud hardware scale Establish and manage strategic supplier and commercial relationships with our key partners at the executive level. Influence supplier’s business models, roadmaps, and support models Develop a supplier management framework, including QBRs, scorecards, and supplier performance (SLAs)  You Have a bachelor's degree in a related technical or business discipline Have 10+ years of supply chain experience in data center, cloud, compute, networking, and/or AI hardware Have direct experience managing OEMs, ODMs, and JDM suppliers and communicating with senior leadership  Understand the manufacturing process for compute, storage, network, and/or AI hardware Possess in depth knowledge of commodity and ODM cost structures, modeling, and negotiation strategies  Are experienced in structuring, negotiating, and executing contracts (MSAs, MPAs, and SOWs) and complex agreements Are proficient with ERP, MRP, PLM, and other common supply chain software Demonstrate sound interpersonal and communication skills, including presenting strategic decisions to the executive team  Nice to Have MS or PhD in a related technical field, or an MBA Strong financial acumen, being able to analyze income, balance sheets, and cash flow statements Experience leading cross functional teams to debate cost/benefit tradeoffs, drive alignment, and make data driven decisions related to critical partnerships and projects Salary Range Information  Based on market data and other factors, the salary range for this position is $150,000-$220,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.  About Lambda We offer generous cash & equity compensation Investors include Gradient Ventures, Google’s AI-focused venture fund We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG We have a wildly talented team of 300, and growing fast Health, dental, and vision coverage for you and your dependents Commuter/Work from home stipends for select roles 401k Plan with 2% company match Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.