Senior Financial Analyst

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.

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 years of experience in financial analysis, 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 
• Are familiar with Mosaic or other strategic/FP&A tools, Netsuite, or data visualization tool (Tableau, Looker, PowerBI) is a plus
• 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 in an ambiguous environment with very little direction

Nice to Have 

• An MBA, CFA, or CPA certification
• Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments.

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 $96,000-$140,000. 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.