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

5 Days AgoSaved
Remote or Hybrid
2 Locations
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead product vision, strategy, adoption, roadmap prioritization, user research, metrics, and cross-functional execution for an AI-powered B2B insurance submissions platform. Partner across design, engineering, marketing, customer experience, and operations; manage integrations with adjacent products; resolve dependencies; communicate strategy and outcomes to senior leadership; and mentor other product managers.
6 Days AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead full-cycle recruiting for Product teams, partnering with Product leaders on workforce planning, sourcing, talent assessment, hiring strategy, and candidate experience. Build pipelines for Product Management, Operations, Design, and Leadership roles; provide market and compensation insights; use recruiting metrics to improve hiring outcomes; maintain ATS data integrity; implement scalable processes; and mentor recruiting teammates.
11 Days AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.