Business Intelligence Analyst
Blank Street- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Salary: $137K - $198K Location Type: Hybrid Employment Type: FullTime
Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning, and inferencing AI models. We provide engineers with an easy, secure, and affordable way to build, test, and deploy AI products at scale. Our product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds, and managed inference services, serving governments, researchers, startups, and enterprises worldwide. If you're passionate about building the world's best deep learning cloud, join us.
Note: This position requires presence in our San Francisco office location 4 days per week. Lambda’s designated work-from-home day is currently Tuesday.
Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, the data platform and analytics, compliance automation, and all things IT.
Join our team as a Business Intelligence Analyst & Administrator. You will collaborate with a small, high-performing team of Analytics Engineers and Data Engineers to design data pipelines, a data warehouse, an automated data catalog, and internal tools. You will be a thought leader on how Lambda manages its BI layer, building analytics tools, training users eager to learn about data tools, and setting Lambda up to scale during a hyper-growth period. This role offers the opportunity to make a significant impact and is ideal for someone passionate about leveraging data to drive decision-making. The role will report to the Data Platform Manager.
Cloud-based GPU services for AI training
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.