---
title: 'Internal Audit Lead - Finance & Operations at Lambda'
canonical: 'https://feeny.ai/job/internal-audit-lead-finance-operations-lambda-san-jose-05jk7z22cvst'
type: 'job'
last_seen: '2026-09-13'
---

# Internal Audit Lead - Finance & Operations at Lambda

- **Company:** Lambda
- **Location:** San Jose, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/lambda/8311101a-2871-48ac-8b3d-dd055ad23098

## 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

We are seeking a motivated and detail-oriented Internal Audit Lead – Finance & Operations to join our Internal Audit function. This individual will be responsible for leading the SOX testing program for finance and operations related controls, strengthening the company’s internal control over financial reporting (ICFR). This is a Senior level role that combines hands-on testing and evaluation with leadership, oversight, and stakeholder engagement.

- ICFR Program – Finance Controls
- Lead the planning and execution of the annual testing program for finance and accounting processes (e.g., revenue recognition, procure-to-pay, record-to-report, treasury, payroll, etc.).
- Lead and perform process walkthroughs, design assessments, and testing of key controls over financial reporting.
- Review the work of co-sourced and internal testers, ensuring quality, accuracy, and consistency of testing results.
- Partner with finance process owners to validate control design and address evolving risks and business changes.
- Coordinate with cross-functional teams including finance and accounting to assess design and recommend design improvements or enhance systems and processes to achieve compliance and improve overall control effectiveness. Drive projects focused on addressing control gaps and proactively preparing for future control requirements.
- Monitor changes to business processes and apply independent judgement to evaluate the potential impact to the control environment and recommend necessary improvements. Present the impact of the changes to the Head of Internal audit and other stakeholders prior to implementation.
- Manage and update all ICFR / SOX 404 documentation as required including COSO framework mapping, process and control narratives/flowcharts, risk and controls matrix, and testing approach.
- Apply professional skepticism and subject matter expertise to independently evaluate and conclude on control deficiencies and develop the necessary remediation actions and monitor their implementation in due time
- Control Evaluation & Remediation
- Identify, assess, and document control deficiencies, including evaluation of severity and impact.
- Work with finance and cross functional managers and process owners to develop, track, and validate timely remediation plans.
- Recommend process improvements and efficiency opportunities while maintaining control effectiveness.
- Stakeholder Collaboration
- Serve as the primary point of contact for ICFR and SOX testing for finance and process controls.
- Provide training, guidance and day to day advisory support to finance process owners on SOX compliance expectations and best practices.
- Reporting & Communication
- Prepare concise, high-quality reports on testing results, deficiencies, and remediation progress for review with the Head of Internal Audit.
- Contribute to updates and presentations to senior management and the Audit Committee on SOX program status.

You

- Education & Certification
- Bachelor’s degree in Accounting, Finance, or related field required.
- CPA, CIA, or CISA certification strongly preferred.
- Experience
- 10+ years of progressive experience in internal audit, external audit, or SOX program management, with at least 2+ years in a managerial / supervisory role.
- Big Four accounting firm or equivalent experience in Internal or External Audit practice.
- Deep expertise in SOX, ICFR, and various risk-based audit approaches, Internal audit methodology and IIA standards.
- Strong knowledge of COSO, PCAOB standards, U.S. GAAP, and regulatory requirements.
- Experience in preparing executive presentations for senior level stakeholders.
- Proficiency in audit management tools (e.g. AuditBoard, Workiva) and other project management tools (e.g. JIRA)
- Proficiency with ERP systems as well as financial close tools and their impact on internal controls and SOX compliance.
- Skills & Competencies
- Proven leadership skills, with the ability to inspire and manage teams, including co-sourced providers.
- Exceptional communication and executive presence to influence senior stakeholders.
- Strong strategic thinking, with the ability to balance risk management, compliance, and operational efficiency.
- Highly organized, with the ability to manage complex projects and competing priorities.

## Nice to Have

- Experience with data analytics and automated testing tools to enhance SOX testing efficiency and insights.
- Exposure to emerging technologies such as cloud computing, cybersecurity, and RPA, and their control implications.
- Prior experience working in a fast-growth or global organization, adapting SOX programs to evolving structures and complexity.
- History of partnering with external auditors on reliance strategies to optimize testing and reduce duplication.
- Involvement in internal audit transformation initiatives, such as methodology modernization.
- Active participation in professional organizations (e.g., IIA, ISACA) and staying current on regulatory and industry trends.

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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