Pie Insurance

Denver, Colorado, USA
400 Total Employees
Year Founded: 2017

Best of Both Worlds

Near Union Station and Coors Field, Pie’s Denver office offers a modern, industrial work environment close to dozens of restaurants and shops. With close access to public transportation, including the light rail and bus systems, it offers convenient access within the Greater Denver area. Pie-oneers enjoy the best of both worlds with the ability to work from Pie's Lodo office or wherever is best for them. In addition to this incredible flexibility, Pie provides each Pie-oneer with a comprehensive benefits package as well as a piece of the (equity) pie. Pie team members thrive in a fast-paced environment where everyone’s contribution matters — and they wouldn’t have it any other way.

At a glance

01

WIDE REACH

Supporting small businesses coast to coast.


02

SDET EQUIPPED

One on every engineering team.


03

FLEXIBLE WORK ARRANGEMENT

Pie-oneers work wherever is best for them.


04

THE STACK

AWS, .Net Core, RestAPI, Docker, React, Redux, Python and more.


Search the 15 jobs at Pie Insurance

Recently posted jobs

Fintech • Insurance • Machine Learning • Other • Analytics • Automation
The Claims Adjuster will manage all aspects of workers’ compensation claims, from setup to closure, ensure compliance with statutory requirements, provide excellent customer service, and advocate for leading customer experience in claims management.
8 Days Ago
Denver, CO, USA
Remote
Fintech • Insurance • Machine Learning • Other • Analytics • Automation
The Team Lead Acquisition Specialist manages a team of Acquisition Specialists to drive strategic growth. Responsibilities include developing acquisition strategies, monitoring KPIs, providing mentorship, collaborating with cross-functional teams, and preparing performance reports. The role also focuses on onboarding partners and ensuring the team exceeds acquisition targets.
Fintech • Insurance • Machine Learning • Other • Analytics • Automation
As a Senior Data Scientist, you will develop AI/ML solutions to enhance commercial insurance processes. Key responsibilities include model development, feature engineering, performance monitoring, and collaborating with product and engineering teams. You'll leverage deep learning and NLP to create predictive models for pricing and underwriting while ensuring model robustness and interpretability.