Egen

HQ
Naperville
Total Offices: 3
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

2 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Owns strategic enterprise accounts across the West region, advising executive stakeholders and driving multi-million-dollar growth. Leads account strategy, P&L, solution scoping, commercial negotiations, cloud/data/AI transformation opportunities, cross-functional delivery, and alliance co-selling with Google Cloud. Develops client success stories and account-based marketing initiatives while ensuring measurable business outcomes and successful engagement delivery.
9 Days AgoSaved
Remote
USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Own strategic enterprise accounts and drive multi-million-dollar growth by advising executives on data, AI/ML, and cloud transformation. Lead account strategy, solution design, scoping, pricing, negotiations, delivery orchestration, and alliance co-selling with Google Cloud and other partners. Build relationships with Fortune 500 and Fortune 1000 clients, exceed sales quotas, close new professional services business, and connect technical solutions to measurable business outcomes.
11 Days AgoSaved
Remote
USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Leads the architecture, design, and implementation of scalable GCP and Databricks data lakehouse platforms. Designs real-time and batch pipelines, data models, governance, cataloging, security, and performance optimization. Advises clients, translates business requirements into technical solutions, leads project teams, mentors engineers, reviews architectures, and balances strategic planning with hands-on proof-of-concept and troubleshooting work.