Technical Solutions Enablement Engineer at Lambda

San Francisco, California, United States

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$162,000 – $235,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Expertise in emerging technologies
Ability to partner with Product and Engineering teams
Strong understanding of customer needs and sales processes
Experience developing technical presentations and enablement collateral
Excellent communication and collaboration skills

Responsibilities

Partner with Product and Engineering teams to understand and influence the direction of emerging products
Act as a Subject Matter Expert (SME) for a subset of Lambda’s portfolio
Join customer meetings and work with Solutions Engineers as an overlay/specialist
Act as the voice of the customer and advocate for their needs with Product and Engineering teams
Develop enablement collateral such as reference architecture diagrams, data sheets, and customer-targeted technical presentations for Solutions Engineering
Collaborate with Sales Enablement to develop customer and sales-facing collateral
Conduct internal training

Skills

Emerging Technologies

Technical Presentations

Enablement Collateral

Reference Architecture Diagrams

Data Sheets

Sales Enablement

Customer Enablement

AI Engineering

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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