Full Stack Engineer (Analytics)

Shaped; Remote; USD 90,000 - 130,000; Full time

Job summary

A remote seed-stage start-up is seeking a full-stack engineer to develop monitoring and analytics tools that empower users to leverage the AI capabilities of Shaped. Join a team from top tech backgrounds and help shape the future of AI applications while enjoying robust growth and remote work flexibility.

Qualifications

• 3+ years of industry experience in a Software Engineering role.
• Passionate about solving challenging problems and iterating quickly.
• Previous experience in analytics, machine learning or data processing is advantageous.

Responsibilities

• Build out monitoring and analytics tools for customers.
• Work on state-of-the-art AI infrastructure.
• Shape the product, culture, and vision as an early employee.

Skills

Programming

Data Structures

Algorithms

Software Application Design

Problem Solving

Communication Skills

Education

B.S., M.S., or Ph.D. in Computer Science

Job description

Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics.

We’re a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We’re a remote team but have a small office in Brooklyn, New York.

Job Description

We are looking for a full-stack engineer to help build out monitoring and analytics tools to help our customers better understand the power of Shaped. You will be a founding engineer working on state-of-the-art AI infrastructure. As one of Shaped’s early employees you will help shape our product, culture and vision.

We’re excited to work with you. Come build the future of AI with us!

Qualifications

• B.S., M.S., or Ph.D. in Computer Science or another technical field
• 3+ years of industry experience in a Software Engineering role
• Strong foundation in programming, data structures, algorithms, and software application design
• Passionate about solving challenging problems and iterating quickly
• Previous experience in analytics, machine learning or data processing is advantageous.
• Excellent written and verbal communication skills.