Head of Supply Chain and Manufacturing

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. 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. 

*Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 5 days per week.

*Note: Title/level (e.g. Director, VP) will be determined based on the experience your bring to this position and your performance during our interview process.

What You’ll Do 

• Lead Supply Chain and Manufacturing Operations Teams: Direct and oversee Lambda's Supply Chain and Manufacturing ensuring alignment with our business objectives and overall strategic plan
• Tight knit process building and work with Datacenter Operations Team: Work on scalable process flows between Supply Chain, Manufacturing Operations and Datacenter Ops teams for deploying hundreds of millions of dollars of capex
• High-Performance Team Building: Build and lead a high-performance team capable of supporting deployment of billions of dollars' worth of GPUs into data centers, maintaining quality standards, and meeting operational goals
• Talent Acquisition: Identify, attract, and recruit world-class talent to strengthen the operational capabilities of the organization, fostering innovation and continuous 
• Financial Management: Manage operations with a strong focus on achieving financial outcomes. You will work closely with finance teams to ensure operations align with the company's financial objectives
• Supply Chain Management and Vendor Relationship Management: Oversee and optimize supply chain processes to ensure the efficient and cost-effective delivery of components and products, with a track record of managing $500M+ supply chains
• Engineering Outlook: Work closely with our engineering and product teams to outline new product introductions and their timelines

You 

• Have extensive hands-on experience in an operations role with a proven track record in managing supply chains and manufacturing organizations, with a minimum annual budget of $500 million
• Have a Bachelor's degree in a STEM or related field
• Possess a strong financial acumen, ability to read P&L, Balance Sheet, Cash Flow reports, and make decisions based on those financial statements
• Have a demonstrated ability to lead and inspire high-performance teams, foster innovation, and drive operational excellence

Nice to Have

• Familiarity with the data center, cloud, and computer industry is a significant advantage, contributing to a better understanding of the unique challenges and opportunities in these markets
• Advanced educational degrees in a related field

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 200, and growing fast
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan with 2% company match
• Flexible Paid Time Off Plan that we all actually use

Salary Range Information 

Based on market data and other factors, the salary range for this position is $250,000-$340,000. 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. 

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.