Flexjet

HQ
Cleveland
Total Offices: 7
1,304 Total Employees
Year Founded: 1995

Flexjet Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers employee discounts

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides bereavement leave

Provides paid holidays

Offers sabbatical leave

Provides military leave

Company Culture

Utilizes a flexible work schedule

Provides free snacks and drinks

Provides a mobile phone discount

Career Growth + Development

Job training & conferences

Provides tuition assistance

Offers apprenticeship programs

Recently posted jobs

20 Hours AgoSaved
In-Office
Cleveland, OH, USA
Aerospace
Build and maintain reports and dashboards, analyze large operational datasets (flight activity, utilization, ground/FBO), apply statistical and ML methods including LLM-assisted analysis, automate workflows, lead analytics projects, and translate recurring operational questions into repeatable tools to drive decisions.
YesterdaySaved
In-Office
Cleveland, OH, USA
Aerospace
Design, develop, and deploy machine learning and deep learning models; build and maintain production ML pipelines; preprocess and validate large datasets; implement APIs and integrate models into systems; monitor, optimize, and retrain models; collaborate with cross-functional teams to translate business needs into AI solutions.
YesterdaySaved
In-Office
Cleveland, OH, USA
Aerospace
Design, build, and deploy enterprise-scale AI and LLM-powered applications (knowledge assistants, RAG pipelines, semantic search). Develop data pipelines, ETL, and production ML systems with CI/CD, monitoring, and responsible AI practices. Collaborate with engineers, product, and stakeholders to integrate AI into enterprise systems, ensure governance, and maintain documentation and model lifecycle management.