Accounting Manager

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

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

What You’ll Do

• Lead and manage the monthly, quarterly, annual close process, including preparation and review of journal entries, reconciliations, and supporting schedules

• Oversee and review journal entries and account reconciliations for accuracy and completeness

• Partner with external auditors and provide requested documentation to support quarterly reviews and annual audits

• Supervise, mentor, and develop a team of staff and senior accountants

• Support preparation of SEC filings (10-K, 10-Q, 8-K, proxy statements) in compliance with US GAAP and SEC regulations

• Collaborate with Sales Operations, FP&A, Tax, HR and other functions to ensure proper accounting and reporting of transactions

• Identify and lead process improvements and automation to drive efficiencies and strengthen internal controls

• Participate in special projects such as system enhancements, acquisitions, and integration activities

You

• Bachelor’s degree in Accounting or Finance, or a related field; CPA strongly preferred

• 5-7+ years of progressive accounting experience, including public accounting (Big 4 or large regional firm) and at least 2 years in a supervisory or management role

• Strong knowledge of US GAAP, SEC Reporting and SOX compliance

• Experience with NetSuite

• Strong analytical, organizational, and problem-solving skills with a keen eye for detail

• Excellent communication and leadership abilities with proven experience managing a team

• Ability to thrive in a dynamic, high-growth, and deadline-driven environment

Nice to Have

• Experience working in a fast paced, high-growth technology environment

• Experience with AI, SaaS, or consumption-based business models

• Demonstrated skill in process automation and system implementations

• Comfort handling ambiguity and working with minimal supervision

• Initiative to apply knowledge and recommend well-considered improvements

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. 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

• Founded in 2012, with 500+ employees, and growing fast

• Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

• We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• Our values are publicly available: https://lambda.ai/careers

• We offer generous cash & equity compensation

• Health, dental, and vision coverage for you and your dependents

• Wellness and commuter stipends for select roles

• 401k Plan with 2% company match (USA employees)

• 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.