Senior Investor Relations Analyst at Lambda

San Francisco, California, United States

Apply Now

$109,000 – $127,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, TechnologyIndustries

Requirements

2–5 years of experience in equity research, investment banking, buy-side investing, or strategic finance
Mature financial and analytical skills with the ability to interpret complex information and financial concepts
Strong business acumen with an understanding of technology and software business models, and a capacity to quickly learn about our industry, products, competitors, and key audiences
Proficient in Excel and Google Suite; experience with financial research tools is a plus
Detail-oriented mindset coupled with the ability to think strategically and see the broader picture
Thrive in fast-paced, high-growth environments with a proactive, flexible, and collaborative mindset
Excellent verbal and written communication skills, with the ability to work effectively across teams and functions
BS or BA in Business, Economics, or a related field, or equivalent relevant work experience
Passion for capital markets, paired with a strong interest in understanding emerging trends and developments in the technology industry

Responsibilities

Support the quarterly earnings process, including logistics, financial analyses, and preparation of earnings materials
Collaborate with Finance and cross-functional teams to analyze financial performance and key business developments for use in investor communications
Perform financial, strategic, and competitive analyses, including peer benchmarking and ad hoc projects that support strategic and financial initiatives
Review and analyze equity research, consensus estimates, and investor/analyst sentiment to assess valuation drivers and market perception
Assist with the creation and ongoing maintenance of investor relations materials, including updates to the Investor Relations website
Assist with the planning and execution of investor relations events, including non-deal roadshows and investor conferences
Monitor peers and competitors’ earnings disclosures and equity research publications to inform internal messaging and market positioning
Summarize and distribute key takeaways from investor interactions, equity research, and market developments to senior management

Skills

Financial Analysis

Equity Research

Investor Relations

Strategic Finance

Peer Benchmarking

Competitive Analysis

Valuation Analysis

Earnings Preparation

Consensus Estimates

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