Senior FP&A Manager
thatgamecompanyFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $170K - $230K.
This is a hybrid role requiring presence in the San Francisco or San Jose office 4 days per week, with Tuesday designated as the work-from-home day.
Candidates need a bachelor's degree in Finance, Accounting, Economics or related field, 5-7 years in FP&A or strategic finance (ideally in software/AI/cloud), extensive financial modeling expertise, strong Excel skills, analytical and communication abilities, and the capacity to thrive in a fast-paced environment.
The role involves working in a fast-paced, high-growth environment, often ambiguous with little direction, collaborating with cross-functional teams, and contributing to impactful projects in building AI factories.
Strong candidates have 5-7 years in FP&A or strategic finance in tech/AI/cloud, expertise in complex financial modeling, strong Excel and analytical skills, excellent communication, and the ability to thrive in fast-paced, ambiguous high-growth settings; prior startup or industry experience is a plus.
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.