RevolutionParts

HQ
Phoenix
100 Total Employees
Year Founded: 2013

RevolutionParts Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Offers legal assistance

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid holidays

Provides military leave

Offers paid volunteer time

Provides bereavement leave

2 Days AgoSaved
Remote or Hybrid
2 Locations
Automotive
Own eCommerce growth strategy for two enterprise automotive accounts, serving as a strategic advisor and leading digital media outcomes. Build budgets and business plans, forecast performance, coordinate cross-functional agency resources, manage client relationships, identify service expansion opportunities, resolve escalations, and report results to leadership and clients. Success is measured by client satisfaction, revenue and margin targets, agency revenue growth, and client GMV growth.
3 Days AgoSaved
In-Office or Remote
2 Locations
Automotive
As a Digital Marketing Specialist, you will manage eCommerce marketing campaigns, optimize ad strategies for clients, and analyze performance metrics.
7 Days AgoSaved
Remote or Hybrid
2 Locations
Automotive
Own the 2-3 year architecture and reliability of high-volume catalog, pricing, and inventory ingestion. Lead migrations from legacy batch to modern systems, define data SLAs, build observability and orchestration, mentor senior engineers, and resolve cross-team, high-severity data problems.