Customer Success Manager at Lambda

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

YesVisa

Artificial Intelligence, Cloud ComputingIndustries

Skills

Key technologies and capabilities for this role

Customer SuccessCommunicationProblem-solvingDe-escalationCollaborationProcess Improvement

Questions & Answers

Common questions about this position

What is the salary range for the Customer Success Manager position?

The hourly range is $55.00-79.00 per hour, 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 position requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this Customer Success Manager role?

Candidates need at least 4 years of experience in Customer Success or equivalent, strong written and verbal skills with de-escalation ability, process orientation, collaborative mindset, and proficiency in G-Suite, Salesforce, and Slack.

What is the company culture like at Lambda?

Lambda is an AI company built by AI engineers, with a collaborative environment focused on building the world's best deep learning cloud, and values active team players who are self-starters and multitaskers.

What makes a strong candidate for this Customer Success Manager position?

Strong candidates have 4+ years in Customer Success, excellent communication and de-escalation skills for high-tier customers, process improvement mindset, cross-functional collaboration, and proficiency in key tools; technical knowledge in AI, cloud, or related fields is a nice-to-have.

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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