Startups · AI

Senior Tax Manager, Provision and Compliance

Lambda Labs · San Francisco Office (Second St) · Remote

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About Lambda Labs

Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and and more GPUs. Launch on-demand instances or reserve a cluster. Get started.

About the role

Lead the quarterly and annual global income tax provision under ASC 740, including current and deferred taxes, valuation allowances, uncertain tax positions, tax-rate reconciliations, journal entries and disclosures. Own the tax close calendar and coordinate timely, complete data from Accounting, FP&A, Consolidations and other stakeholders; and lead the tax workstream with the company’s external auditors, including PBC requests, technical accounting support and timely resolution of audit matters.

More about this role

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 or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Lead the quarterly and annual global income tax provision under ASC 740, including current and deferred taxes, valuation allowances, uncertain tax positions, tax-rate reconciliations, journal entries and disclosures.

Own the tax close calendar and coordinate timely, complete data from Accounting, FP&A, Consolidations and other stakeholders; and lead the tax workstream with the company’s external auditors, including PBC requests, technical accounting support and timely resolution of audit matters.

Prepare and review legal-entity forecasts, annual effective tax rate analyses, cash-tax projections and interim provision updates, including...

Read the full posting on Lambda Labs's site ↗

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