Modal

Member of Technical Staff - Systems

New York, New York, United States

$150,000 – $270,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Robotics & AutomationIndustries

Requirements

Candidates should have 5+ years of experience writing high-quality production code and experience building high-performance distributed systems at a large scale. Strong cloud skills and a strong knowledge of low-level operating system foundations such as Linux kernel, file systems, and containers are required. Experience with performance engineering is essential, along with the ability to work in-person in our NYC or Stockholm office. Prior experience with Rust is a nice to have, but not required.

Responsibilities

The Member of Technical Staff - Systems will be responsible for designing, building, and maintaining the novel, high-performance systems that comprise our serverless platform. They will contribute to the development of our infrastructure, ensuring it meets the needs of the next generation of AI companies.

Skills

Linux kernel
File systems
Containers
Distributed Systems
Cloud Skills
Performance Engineering
Rust

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.

Key Metrics

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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