Senior Tax Analyst

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

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

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

What You’ll Do

• Perform month-end and year-end close activities, including journal entries, accruals, reconciliations, analysis

• Conduct analysis and review of tax data to identify discrepancies, variances, and trends. Document findings for audit trail

• Prepare workpapers and calculations for tax provision and financial reporting

• Manage estimated tax payments and data for tax compliance

• Assist in filing of sales tax, property tax and VAT returns across multiple states

• Maintain organized records of filings, payments, and correspondence

• Demonstrate ownership of tax engines, ERP systems, and underlying data. Support enhancements and implementations.

• Manage calendars and due dates for compliance and operations

• Collaborate with cross-functional teams to promote best practices

• Monitor changes in legislation and evaluate impact

• Exercise discretion and maintain confidentiality of the Company’s financial information

You

• Bachelor's degree in accounting, finance, or a related field.

• 3-5 years of related experience in public accounting or in the internal tax department of a US multi-state corporation

• Proficient in using ERP systems and analyzing data

• Advanced Excel skills for data wrangling and analysis

• Strong knowledge of US and International sales and use tax laws, regulations, and compliance requirements.

• Excellent attention to detail and organizational skills to manage multiple projects and deadlines simultaneously.

• Possess intellectual curiosity and willingness to learn

• Strong analytical and problem-solving skills, with the ability to apply rules to practical scenarios.

• Effective communication and interpersonal skills to collaborate with internal teams and external stakeholders.

• High ethical standards and the ability to handle confidential and sensitive information with integrity.

Nice to Have

• Experience in the machine learning or computer hardware industry.

• Netsuite experience (or other large ERP system experience) and Avalara

• CPA license or aspiration

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, ~400 employees (2025) and growing fast

• We offer generous cash & equity compensation

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

• 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

• 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.