RevolutionParts is a mission-driven organization and pioneer in industry cloud, disrupting and innovating in the automotive space by creating the most active parts network in North America. Since our inception, dealerships have sold more than $1 BILLION in parts and accessories online using the RevolutionParts platform. We are here to transform the way parts buyers and sellers connect. At the heart of RevolutionParts are our core values: Think Big, Own It, Wow Them, Leave Your Ego at the Door, Work Together Win Together, and Move Fast, Fail Fast. Join us in transforming the automotive industry, committed to making a positive impact on our customers and their digital transformation journey. We are looking for an experienced and driven Manager of Software Engineering to be a hands-on leader of an established team with deep experience and a passion for innovation. Bring your expertise in project management and ruthless prioritization to help us meet the needs of our customers. We are looking for strong mentors with a proven record of making your team better. Preference will be given to candidates who live in the greater Phoenix, Arizona, area. A secondary choice would be a location of the Pacific or Mountain Time Zones. Applicants must be currently authorized to work in the United States on a full-time basis, as we are unable to sponsor or take over sponsorship of an employment Visa at this time. The following list of responsibilities describes the “ideal” candidate in terms of all-around work history. We are not looking for someone who has EVERYTHING. Instead, we are looking for someone who has a lot of what is described below, but - more importantly - adds to our team and complements our team members’ skill sets. Attitude and aptitude count for a lot! At RevolutionParts, we expect team members to actively use modern tools — including AI-powered systems — to improve decision-making, productivity, and quality of work. This includes: Using AI tools responsibly to accelerate research, analysis, documentation, and problem-solving. Exercising strong judgment around data privacy, accuracy, and ethical use. Continuously learning and adapting as AI capabilities evolve. Proven examples of using AI to improve outcomes in prior roles is expected.
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Job Type
Full-time
Career Level
Manager