Cloud Quant

New York, New York, United States

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$200,000 – $300,000Compensation

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

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & Analytics, FintechIndustries

Requirements

The ideal candidate should have several years of experience in Python and SQL. They should have a background in data science, data visualization, and statistics. Experience working with cloud vendors such as AWS is necessary. A passion for optimization, especially regarding financial performance, is essential. Candidates should be comfortable negotiating contracts with vendors and possess a systems-thinking approach to business. A willingness to work out of the NYC headquarters is required, although exceptional candidates may work from San Francisco. Strong storytelling skills about past successes in driving revenue are also important.

Responsibilities

The role involves engaging with new cloud providers to obtain quotes and finding cost-effective capacity within existing providers. Responsibilities include improving GPU utilization, negotiating with vendors, and optimizing pricing strategies. The candidate will pull and analyze data from various cloud APIs, manage large datasets of spending, and collaborate with software engineers to implement optimizations for the GPU fleet. Creative pricing strategies, such as bundling GPU types and implementing surge pricing, will also be part of the job.

Skills

Python

SQL

Data Science

Data Visualization

Statistics

AWS

Negotiation

Systems Thinking

Modal

Employee training and skill development platform

About Modal

Modal Learning focuses on improving employee performance through skill development for businesses. Their main product, the Modal Mastery Platform, uses active learning techniques, including live cohort sessions, labs, and one-on-one coaching, to help employees engage with the material effectively. Unlike competitors, Modal Learning offers a subscription model that provides structured eight-week training programs, aligning skill development with organizational goals. The company's goal is to empower employees and help organizations retain talent by providing clear career development paths.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$30.8MTotal Funding

EARLY_VCCompany Stage

Consulting, EducationIndustries

51-200Employees

Risks

Competition from established players and emerging startups could dilute Modal's market share.

Focus on data and AI may limit appeal to companies seeking broader skill development.

Economic downturns could reduce corporate spending on employee training, impacting revenue.

Differentiation

Modal offers personalized technical skills training with on-demand coaching.

The platform uses cohort-based learning to enhance engagement and retention.

Modal's strategic skills planning aligns training with business goals.

Upsides

Increased demand for personalized learning experiences boosts Modal's market potential.

Growing emphasis on data and AI skills aligns with Modal's course offerings.

Subscription model provides steady revenue and predictable growth for Modal.

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