Engineering Program Manager at Lambda

San Francisco, California, United States

Apply Now

$226,000 – $377,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

10+ years of experience in the Software engineering industry with 7+ years performing a project management role, with a focus on software engineering and software infrastructure projects
Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment
Bachelor's degree in Computer Science, Engineering, or a related technical field
Proven track record of successfully leading and delivering complex technical projects
Strong knowledge of Agile and Scrum methodologies
Exceptional leadership, communication, and interpersonal skills using those skills to lead teams to ordered execution from a disorganized starting point
Ability to thrive in a fast-paced, high-pressure environment and manage multiple projects simultaneously
Impeccable writing and documentation skills
Experience with project management software (e.g., Jira)
Deep understanding of software development lifecycles, familiarity with product engineering technologies, and expertise in application of project management methodologies
Strong understanding of cloud platform technologies (e.g., AWS, Azure, GCP), containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and automation tools

Responsibilities

Guide a cross-functional team of engineers, fostering a culture of innovation, collaboration, and accountability
Define project scope, goals, and deliverables in collaboration with engineering management and stakeholders
Develop comprehensive project plans, including timelines, resource allocation, and budget
Oversee the entire project lifecycle, from ideation to deployment. Ensure projects are delivered on time, within budget, and to the highest quality standards
Proactively identify, assess, and mitigate project risks and issues. Develop contingency plans and communicate status to stakeholders
Serve as the primary point of contact for all project-related communications. Provide regular updates to stakeholders, including executive leadership, on project progress, risks, and key milestones
Continuously evaluate and improve project management processes and tools to enhance team efficiency and effectiveness
Work closely with cross-functional teams, including product management, operations, and security, to ensure alignment and successful project integration
Work closely with engineering management to scope customer requirements

Skills

Key technologies and capabilities for this role

Project ManagementSoftware Development LifecyclesAWSAzureGCPDockerKubernetesCI/CDAutomationCloud Platforms

Questions & Answers

Common questions about this position

What is the salary range for the Engineering Program Manager position?

The salary range is $226K - $377K.

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

The role is hybrid and requires presence in the San Francisco/San Jose/Bellevue office 4 days per week, with Tuesday designated as the work-from-home day.

What technical skills and experience are required for this role?

Candidates need 10+ years in the software engineering industry with 7+ years in project management focused on software engineering and infrastructure, plus strong understanding of cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), CI/CD pipelines, and automation tools.

What is the company culture like at Lambda?

Lambda fosters a culture of innovation, collaboration, and accountability in a fast-paced, dynamic environment focused on building the world's best deep learning cloud.

What experience makes a strong candidate for this Engineering Program Manager role?

Strong candidates have demonstrated experience leading teams of software engineers on complex, cross-functional projects in a fast-paced startup environment, plus a Bachelor's degree in Computer Science, Engineering, or related field.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free