Applied Systems Offices

Applied Systems is headquartered in Chicago and has 4 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

At Applied, we trust that our people will achieve the outcomes and deliver high-impact results to our customers, in whatever way - hybrid, in-person, or remote - that works best for them.

Typical time on-site: Flexible

U.S. Office Locations

HQ
Chicago

Fulton Market

320 N Sangamon St #750, Chicago, IL, United States, 60484

Atlanta

Atlanta

1115 Howell Mill Rd NW, Suite 420, Atlanta, Georgia, United States, 30318

Lewisville

EZLynx

350 Highland Dr Suite 150, Lewisville, Texas, United States, 75067

Lincoln

Lincoln

U.S. Bank Building 233 South, Lincoln, Nebraska, United States, 68508

One Month AgoSaved
Remote or Hybrid
New York, NY, USA
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Hunts and closes new-logo business with independent insurance agencies across Manhattan and Long Island. Responsibilities include prospecting, cold calling, opening doors, setting appointments, consultative selling, attending industry events, following up on leads, developing target opportunities, and maintaining post-sale relationships. The role sells enterprise SaaS and cloud solutions remotely within an assigned territory and includes travel, base salary, commission, and uncapped compensation.
An Hour AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Provides consultative pre-sales support for insurance software solutions. Develops product demonstrations, coordinates client site visits, prepares proposals, responds to customer requirements, and collaborates with sales and supporting teams throughout the sales cycle. Uses insurance industry and technology expertise to align client goals with product capabilities and demonstrate business value. Requires up to 25% North American travel.
YesterdaySaved
Remote or Hybrid
United States
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead and grow a global data engineering team while establishing foundational data platforms and engineering standards. Design and oversee GCP-based pipelines, medallion data models, DataOps, monitoring, SLAs, CI/CD, governance, and data quality practices. Drive AI adoption across engineering workflows and build reliable, AI-ready data. Partner with business and technology stakeholders to prioritize roadmaps, deliver scalable solutions, and support data democratization.