Head of Revenue Accounting

San Jose, California, United States

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$255,000 – $383,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial Intelligence, AI & Machine Learning, GPU CloudIndustries

Requirements

Candidates must possess 12+ years of progressive accounting experience with a focus on revenue recognition, preferably with a mix of Big 4 public accounting and in-house experience. A CPA license is required, along with deep expertise in ASC 606 revenue recognition principles and practical implementation, ideally within the technology sector. Proficiency in accounting systems like NetSuite, advanced Excel, Salesforce, and revenue automation tools is necessary. Strong leadership, organizational, project management, communication, and attention to detail skills are essential, as is a proactive, strategic approach to problem-solving in fast-paced environments. Familiarity with SOX requirements and control development is also required.

Responsibilities

The Head of Revenue Accounting will oversee the revenue recognition process, establish scalable processes and systems, and collaborate with cross-functional teams including Sales, FP&A, Rev Ops, Legal, and Engineering. This role is critical for ensuring the accuracy, integrity, and compliance of all revenue-related financial reporting and operations per ASC 606. Responsibilities include owning the revenue close process, partnering with external auditors, monitoring revenue accounting guidance, and continuously improving/automating revenue accounting processes. The Head of Revenue Accounting will also prepare and review disclosures related to revenue recognition, serve as the internal subject matter expert, and mentor a high-performing revenue accounting team.

Skills

Revenue Recognition

ASC 606

SOX Compliance

Financial Reporting

Auditing

Technical Accounting

Process Improvement

Automation

Team Leadership

Mentoring

Financial Statements

Footnotes

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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