Principal AI Engineer - Servicing Solutions
GoodleapSalary not specified
- Full Time
- Expert & Leadership (9+ years)
$300,000 – $385,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates must have over 10 years of experience in product management, including at least 5 years focused on building AI/ML platforms. A strong understanding of technologies such as vLLM, Kubernetes, model distillation, and quantization is essential. Proven ability to drive product adoption and demonstrate commercial success is required, along with a capacity to make swift decisions in ambiguous situations and stay connected within the AI/ML ecosystem.
Responsibilities
The Principal Product Manager will define the vision for Lambda’s inference platform and chart the strategic path forward. They will establish key milestones and ensure timely delivery while resolving any ambiguities. Engaging with AI developers to understand their workflows and needs is crucial, as is building strategic partnerships within the AI ecosystem. The role also requires close collaboration with company leadership, engineering, research, sales, and marketing teams to ensure overall success.
Skills
Product Management
AI
ML
Roadmap
Execution
Strategic Partnerships
Collaboration
Model Evaluation
Deployment
Optimization
Observability
Performance Tuning
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