Pricing Analyst at Lambda

San Jose, California, United States

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$128,000 – $192,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine LearningIndustries

Requirements

Bachelor’s degree in Business, Finance, Economics, Statistics, or a related field
>5 years of experience in pricing analysis, financial analysis, or a related role
Strong analytical and quantitative skills with proficiency in Excel and data visualization tools (e.g., Power BI, Tableau)
Ability to interpret complex data and present insights in a clear and concise manner
Excellent communication and collaboration skills
Detail-oriented with strong problem-solving abilities
Ability to work independently and manage multiple projects in a fast-paced environment

Responsibilities

Analyze pricing impact and trends, customer segmentation and behavior, and review cost structures to recommend actions
Monitor and assess the impact of pricing changes on revenue, profitability, and market share
Work closely with sales, finance, and product teams to align pricing strategies with business goals
Utilize data analytics and modelling techniques to optimize pricing decisions
Prepare detailed pricing reports and presentations for senior management
Create complex financial models for different cash flow scenarios
Work with relevant tools to input, manipulate and output the data into usable formats that create relevant information for management and executives

Skills

Key technologies and capabilities for this role

ExcelPower BITableauFinancial ModelingData AnalyticsPricing Analysis

Questions & Answers

Common questions about this position

What is the salary range for the Pricing Analyst position?

The salary range is $128K - $192K annually, though a higher or lower salary may be appropriate based on qualifications differing from those listed.

Is this a remote or hybrid role, and what are the office requirements?

This is a hybrid role requiring presence in the San Jose office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this Pricing Analyst role?

Candidates need a Bachelor’s degree in Business, Finance, Economics, Statistics or related field, over 5 years in pricing or financial analysis, strong analytical skills with proficiency in Excel and data visualization tools like Power BI or Tableau, plus excellent communication and problem-solving abilities.

What is the company culture like at Lambda?

Lambda is a fast-growing company with ~400 employees, focused on building the world's best deep learning cloud for AI/ML teams, offering generous cash and equity compensation, and operating in a high-demand, profitable environment.

What makes a strong candidate for this Pricing Analyst position?

A strong candidate has over 5 years of pricing or financial analysis experience, a relevant degree, proficiency in Excel and tools like Power BI/Tableau, and nice-to-have knowledge of AI industry, cloud computing pricing models, and platforms like AWS, Google Cloud, or Azure.

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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