---
title: 'Senior Tax Manager, Provision and Compliance at Lambda'
canonical: 'https://feeny.ai/job/senior-tax-manager-provision-and-compliance-lambda-san-francisco-gtf08e1rdkm9'
type: 'job'
last_seen: '2026-11-08'
---

# Senior Tax Manager, Provision and Compliance at Lambda

- **Company:** Lambda
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/Lambda/60280e57-454a-411e-b174-7eca2a64e692

## Job description

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.

## What You’ll Do

- 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 explanations of actual-to-forecast and period-over-period movements.
- Direct outsourced federal, state, local and international income tax compliance, including extensions, estimated payments, information returns and foreign statutory or tax-return requirements.
- Lead recurring and special projects involving research credits, IRC Section 382 limitations, state apportionment, tax attributes and other material corporate tax matters.
- Manage income tax audits and notices by developing fact patterns, coordinating information requests, tracking positions and exposures, and escalating material judgments.
- Support the tax workstream for new foreign entities, data centers and market launches, including entity setup, permanent-establishment risk, withholding taxes, local compliance and repatriation considerations.
- Maintain transfer-pricing policies, intercompany agreements, supporting analyses and documentation.
- Build scalable tax processes, documented review controls and evidence suitable for a rapidly growing company preparing for public-company reporting and SOX expectations.
- Partner across Finance, Legal, Treasury, Infrastructure, Procurement and other teams so Tax is involved early in significant contracts, financings, entity changes and data-center investments.

You

- Bachelor's degree in accounting, finance, taxation or a related field; active CPA license strongly preferred.
- Eight or more years of relevant corporate tax experience, including public accounting and/or an in-house tax role in a complex multi-entity business.
- Strong technical knowledge of ASC 740, US GAAP tax accounting and financial-statement tax disclosures, with experience leading quarterly or annual provision work.
- Solid US federal corporate tax foundation and experience overseeing multi-state and international income tax compliance through external advisers.
- Working knowledge of international tax concepts, transfer pricing and intercompany transactions, with the ability to implement adviser recommendations in accounting and operating processes.
- Experience coordinating audits, technical analyses and cross-functional projects with incomplete data and competing deadlines.
- Strong analytical, review and project-management skills, with the judgment to distinguish routine execution from matters requiring escalation.
- Clear written and verbal communication skills and the ability to explain technical matters to finance and business stakeholders.
- High ethical standards and discretion in handling confidential and sensitive information.

## Nice to Have

- Experience in AI infrastructure, cloud computing, data centers, hardware, leasing or another capital-intensive and internationally expanding business.
- Public-company reporting, IPO-readiness or SOX tax-control experience.
- NetSuite, tax-provision software, fixed-asset systems or other large ERP and finance-transformation experience.
- Master's degree in taxation

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

## 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.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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