Director of Business Operations - AI Infrastructure

Lambda · Remote

Company

Lambda

Location

Remote

Type

Full Time

Job Description

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. 

We are seeking a highly motivated and experienced Director of Business Operations - AI Infrastructure to play a pivotal role in the establishment and growth of our newly formed billion-dollar business unit. As a key member of the leadership team, you will be responsible for providing strategic direction, operational oversight, and cross-functional coordination to ensure the successful execution of our business plan. 

What You’ll Do

  • Partner with the Vice President of NVIDIA Solutions to develop and implement a comprehensive business strategy aligned with Lambda's overall objectives for NVIDIA Solutions
  • Oversee all aspects of daily business operations, including sales, quoting, ordering, planning, and delivery processes
  • Optimize internal processes to enhance efficiency and effectiveness
  • Establish and maintain strong relationships with key stakeholders across the organization
  • Provide regular updates to the Vice President of NVIDIA Solutions and Executive Leadership Team on business performance and progress
  • Identify and mitigate potential risks and challenges to ensure business continuity
  • Serve as a trusted advisor to the Vice President of NVIDIA Solutions, providing strategic insights and recommendations
  • Represent the business unit in external meetings and engagements

You

  • Bachelor's degree in Business Administration, Finance, or a related field
  • 10+ years of experience in a senior management or operational role
  • Proven track record of success in leading and managing complex business initiatives
  • Excellent communication, interpersonal, and problem-solving skills
  • Strong analytical and decision-making abilities
  • Ability to work independently and as part of a team
  • Experience in the enterprise segment and customer exposure is a plus

Nice to Have

  • Experience in the enterprise segment
  • Years of customer exposure
  • Experience with machine learning and deep learning
  • Experience with IT Infrastructure
  • Experience working with key business systems (NetSuite, SalesForce, Jira, etc.)
  • Situational awareness in customer situations, employing diplomacy and tact

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 150, and growing fast
  • Health, dental, and vision coverage for you and your dependents
  • Commuter/Work from home stipends
  • 401k Plan
  • 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 $200,000-$300,000. 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.

Apply Now

Date Posted

12/09/2023

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