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

Key technologies and capabilities for this role

Emerging TechnologiesTechnical PresentationsEnablement CollateralReference Architecture DiagramsData SheetsSales EnablementCustomer EnablementAI Engineering

Questions & Answers

Common questions about this position

What is the salary range for the Technical Solutions Enablement Engineer position?

The salary range is $162K - $235K.

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

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

What key skills are required for this position?

Required skills include 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, and excellent communication and collaboration skills.

What is the company culture like at Lambda?

Lambda focuses on cross-functional partnerships with Product, Engineering, and Sales Enablement teams, collaboration, and acting as a voice for customer needs in a mission-driven environment to become the world's top AI computing platform.

What makes a strong candidate for this role?

A strong candidate will have expertise in emerging technologies, proven ability to collaborate with Product and Engineering teams, deep understanding of customer needs, experience creating technical enablement materials, and excellent communication skills.

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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