Administrative Back Office Support Specialist

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 our San Jose Headquarters 5 days per week.

What You’ll Do

• RMA Processing:
• Receive and review RMA requests from customers, ensuring all necessary information is provided
• Coordinate the RMA process, including issuing RMA numbers, creating shipping labels, and tracking returns
• Work closely with the logistics team to ensure timely and accurate processing of RMAs
• Maintain accurate records of RMA requests and returns in our database
• Billing Support:
• Address customer inquiries related to billing, invoices, and payment processing
• Investigate and resolve billing discrepancies or disputes in a timely manner
• Collaborate with the finance department to ensure accurate billing and payment processing
• Generate and send invoices to customers as needed
• Documentation and Reporting:
• Prepare and maintain detailed documentation related to RMA processing and billing inquiries
• Generate reports on RMA status, billing inquiries, and resolution times
• Assist in analyzing data to identify trends and areas for process improvement
• Customer Communication:
• Provide clear and courteous communication to customers regarding RMA status, billing inquiries, and resolution updates
• Ensure timely responses to customers via all existing and future channels
• Team Collaboration:
• Collaborate closely with various internal teams to ensure a seamless customer experience
• Escalate complex issues to the appropriate team members or departments for resolution

You 

• Have a high school diploma or equivalent; Bachelor's degree preferred
• Have previous experience in administrative support or customer service roles, preferably in a technical or IT-related field - Advantage
• Possess strong organizational and time management skills
• Have excellent communication and interpersonal skills
• Are proficient in using customer support software and ticketing systems - Advantage
• Have attention to detail and the ability to maintain accurate records
• Are able to quickly learn technical concepts
• Are able to work independently and as part of a team
• Have strong problem-solving skills and a commitment to customer satisfaction

Nice to Have 

• Technical familiarity with HW and Cloud computing
• Experience in the machine learning or computer hardware industry

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 $50,000-$70,000. 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.