Egen

HQ
Naperville
240 Total Employees
Year Founded: 2000

Egen Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers dependent care

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Offers legal assistance

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Recently posted jobs

Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Owns public-sector sales and revenue growth across State, Local, and Higher Education accounts. Responsibilities include managing the full sales lifecycle, developing account strategies, owning P&L and bookings targets, building executive relationships, partnering with Google Cloud, scoping modernization projects, drafting Statements of Work, and supporting regional marketing. The role focuses on cloud, data, AI, and analytics modernization opportunities, particularly across California agencies and institutions.
5 Days AgoSaved
Remote
USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Owns global payroll, benefits administration, HRIS operations, compliance, audits, and total rewards analytics across the U.S., Canada, U.K., and Europe. The role manages payroll vendors and benefits programs, leads open enrollment, ensures multi-jurisdictional compliance, optimizes HR systems, reconciles benefits costs, and mentors offshore People Operations staff.
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Leads a span of approximately 20 engineers while shaping hiring, onboarding, career development, staffing, and engineering enablement across the AI practice. The role is also approximately 50% billable client delivery, providing executive advisory on AI software development lifecycles, governance, agentic deployments, MLOps and LLMOps pipelines, cloud platforms, observability, and production resilience. Requires extensive engineering leadership, organizational scaling, consulting, GCP, and production AI/ML deployment experience.