Lambda

Senior Pricing Manager

San Francisco, California, United States

$60,000 – $90,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Software, AI, Cloud ComputingIndustries

Requirements

Candidates should possess a degree in Business, Finance, Economics, Mathematics, or a related field, and ideally an MBA or a master’s degree in a relevant discipline. A minimum of 7 years of experience in pricing strategy, revenue management, or financial analysis within the AI, cloud computing, SaaS, or enterprise technology sectors is required.

Responsibilities

The Senior Pricing Manager will develop and execute pricing strategies for AI cloud solutions and hardware products, considering cost structures and competitive positioning. They will conduct market research and competitive benchmarking to assess pricing trends, empower sales teams with strategic guidance, and optimize pricing structures to maximize revenue and profitability. Furthermore, the role involves cross-functional collaboration with product management, finance, sales, and marketing teams, analyzing customer usage data, and refining pricing strategies for subscription and consumption models while continuously monitoring key performance indicators.

Skills

Pricing Strategy
Revenue Management
Financial Analysis
Market Research
Competitive Benchmarking
Data Analysis
Subscription Pricing
Consumption Models
KPI Monitoring

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.

Key Metrics

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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