Senior Product Designer

San Jose, California, United States

Auto‑apply with AI Apply

$161,000 – $231,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should possess a strong portfolio demonstrating experience in product design, a Bachelor’s degree in Design, Human-Computer Interaction, or a related field is preferred, and at least 5 years of experience as a Product Designer. They should have a deep understanding of user-centered design principles, UI/UX best practices, and experience with design systems. Strong communication and collaboration skills are also required, along with the ability to conduct usability studies and interpret user feedback.

Responsibilities

As a Senior Product Designer, you will lead the design process for new and existing products, collaborating closely with cross-functional teams to shape end-to-end workflows and ensure a seamless product development process. You will create user-centered designs through user research, persona development, and journey mapping, and will expertly craft the UI/UX of the product and web experience. Furthermore, you will develop and maintain a design system, advocate for design best practices, mentor junior designers, and continuously iterate on design solutions based on user testing and feedback, while staying updated on industry trends and experimenting with new design tools.

Skills

wireframes

prototypes

high-fidelity visuals

design systems

user research

usability studies

user personas

data-driven design

quantitative feedback

UI/UX

ideation

iteration

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