Technical Program Manager II
TrueMLSalary not specified
- Full Time
- Senior (5 to 8 years)
$147,000 – $211,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, AI & Machine LearningIndustries
Requirements
Candidates should have at least 7 years of experience in program or project management for complex product development programs. A thorough understanding of agile and waterfall management techniques is required, along with a technical background typically demonstrated by an Engineering degree or equivalent technical experience. Excellent leadership and organizational skills are essential, as well as strong communication abilities to structure internal and external communication. Candidates should also possess a strong ability to lead by influence and example, and have experience using various project management tools.
Responsibilities
The Technical Program Manager will manage large scale deployments of GPU clusters in datacenter colocation across the country. They will work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements. The role involves driving multiple simultaneous projects forward, assessing risks, and monitoring tasks. The manager will proactively manage dependencies and anticipate or resolve execution issues, partnering with cross-functional stakeholders including Product, Engineering, and Operations to ensure correct building, testing, and deployment on time while meeting stated SLAs. They will communicate progress and status with internal stakeholders and customer groups in various locations and time zones, interact with stakeholders at various levels concerning resolution of technical and scheduling issues, and build strong partnerships across Lambda to drive process improvements and efficiencies.
Skills
Program Management
Project Management
Agile
Waterfall
Risk Assessment
Stakeholder Management
Technical Communication
Dependency Management
GPU Clusters
Data Center Operations
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