Logistics 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 Logistics Manager to build industry leading business and operations processes for materials management.

*Note: This position requires presence in our San Jose Headquarters 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

Develop and implement end to end logistics strategies to ensure efficient movement of servers, switches, cables, and commodities from procurement to installation to decommissioning

Establish strategic relationships with hardware suppliers and logistics service providers to ensure on time delivery and quality of hardware to Lambda’s data centers

Implement systems and processes for tracking the location, status, and usage of hardware assets. Work with finance and legal teams on depreciation schedules

Develop sparing practices, RMA processes, and parts management policies with key suppliers. Implement vendor managed inventory (VMI), third party logistics (3PL), and other strategies to improve material availability and reduce downtime

Continuously identify opportunities to optimize logistics processes, reduce cost, and improve efficiency in hardware and cloud deployments

Ensure compliance with relevant regulations, standards, and best practices related to logistics and inventory management

Resolve transportation, logistics systems, trade, or other operations issues in a timely manner

You

Have a Bachelor’s degree in engineering, business administration, or supply chain management, or equivalent practical experience

Possess proven experience in logistics management in a data center, IT hardware, or manufacturing environment

Hold a strong understanding of inventory management principles and their impact on financial statements

Are proficient with inventory management software, such as Netsuite, and PLM software, such as Agile

Have strong analytical skills, including the ability to analyze complex logistics challenges and develop effective solutions

Are familiar with industry regulations and standards related to logistics, inventory management, and transportation. Experience with SOX compliance practices regarding inventory management

Have experience developing KPIs to track inventory usage, parts shortages, inventory spend, and other metrics

Nice to Have

MBA with a concentration in operations management or supply chain

Experience with large scale data center deployments and ODM manufacturing environments

Experience with statistical analysis and modeling software

Certification in logistics management or certified supply chain professional

Salary Range Information

Based on market data and other factors, the salary range for this position is $135,000-$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 250, 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.