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.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We are seeking a highly motivated and experienced Financial Analyst, focused on our Data Center Business Unit to play a pivotal role in helping to establish, grow, and scale this critical infrastructure.
About the Job
- Build out and maintain forecasting, budgeting, and long-term strategic planning models for the Data Center Business Unit, including both existing and projected data center operations. Integrate these into the broader company FP&A framework in order to support higher level company assumptions and finance objectives
- Utilize the modeling framework to provide information, metrics, and analysis to support both the Data Center Business Unit and TopCo planning and decision making
- Drive P&L reporting and variance analysis by Data Center on an ongoing basis, including BS and CF impact
- Help to establish accounting discipline for Data Center operations, including integration of GPU and Revenue information by Data Center
- Provide ongoing support for delivery and automation of Monthly/Quarterly Business Review output, including initiatives to build out and deliver Data Center focused dashboard and management review materials
- Develop and implement complex financial models for various Data Center opportunities, including JVs, SPVs and other potential structures
What You’ll Do
- Develop and implement complex financial models for forecasting, budgeting, and long-term strategic planning
- Conduct rigorous analysis of key performance indicators, operational metrics, and business trends, translating the data into actionable insights and recommendations
- Lead the monthly and quarterly financial reporting processes, ensuring accuracy and providing variance analysis to highlight key business drivers and financial risks
- Collaborate with cross-functional teams, including Sales, Marketing, Product, and Operations, to align on and support strategic initiatives, improve operational efficiency, provide deal support, and drive profitable growth
- Assist in preparing management presentations and reports for the Executive team, Board of Directors, and external stakeholders
- Participate in the financial due diligence for fundraising opportunities
- Monitor industry trends and the competitive landscape to identify potential business risks and opportunities
- Undertake interesting and impactful ad hoc analyses and special projects as directed by Leadership
You
- Have a bachelor's degree in Finance, Accounting, Economics, or a related field
- Have a minimum of 4-7 years of experience in FP&A, Strategic Finance or experience in investment banking, preferably in the technology sector
- Are proficient in financial modeling and analysis with a deep understanding of financial statements. Have excellent analytical, strategic thinking, and decision-making skills
- Possess strong Excel skills and experience with financial software systems, including Runway or other strategic FP&A tools, Netsuite, and data visualization tools (Tableau, Looker, PowerBI)
- Are able to work in a fast-paced environment, manage multiple projects simultaneously, and meet deadlines
- Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely
- Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement
- Are able to work as a self-starter, coordinating cross-functionally to accomplish goals and objectives
Nice to have
- Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments
- Experience in the machine learning or computer hardware industry, including Data Center and/or operations experience is a plus
Salary Range Information
Based on market data and other factors, the salary range for this position is $140,000-$180,000. 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.
Top Skills
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
