Engineering Manager, Software – Discovery

Company Background:

Established in 1928, Genuine Parts Company is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 60,000 teammates. 

Position Purpose:

Seeking world-class talent to join the world’s leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as the head of engineering to architect the next generation Commerce platforms for GPC. Working with a highly talented team, you'll play a leadership role to build and run one of the world’s largest automotive and industrial replacement parts operations. 

This is an engineering leadership role with responsibility for implementing the technology strategy and execution for GPC’s unified commerce platforms.

This individual must be a technologist & engineer at heart and be comfortable in understanding the technology direction and being hands on with the execution of the strategy. The candidate must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrated focus on customer experience, and must have a proven track record of modernizing legacy supply chain technologies at scale.

Close collaboration and alignment with a wide variety of both internal stakeholders and external vendors will be required. As such, exceptional abilities in building and maintaining strong working relationships and organizational savvy will be required. High level communication and presentation skills are required. Ability to attract, retain, and develop engineering talent will be critical.

Responsibilities: 

• Partnering with the cross-functional GPC team, implement the strategy and roadmap for modernizing the personalization-Recommendations domain.
• Implement the technology platforms architecture and execute on roadmap to support build out the new commerce related capabilities needed for the unified commerce strategy
• Overall engineering accountability for the Item and product aggregated services
• Responsible for delivery and support of the platform
• Responsible for simplifying the complexity of current Recommendations platforms and reducing the technical debt and total cost of ownership
• Partner with peer leaders to accelerate and embed agile methodologies across the organization to increase customer-backed problem solving, to increase pace of solution delivery, to accelerate innovation and to enhance cross-functional collaboration
• Recruit, manage, and motivate a team of engineers and Engineering managers to develop best-in-class solutions
• Other duties as assigned

Location:

• GPC has two work locations to choose from, Duluth or Atlanta office.
• We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule.

Desired Qualifications & Experiences:

• Degree in Computer Science, Engineering fields, or equivalent experience.
• 8 years’ (10+ preferred) experience in software engineering delivery (including 2+ years in leadership role)
• Consistent track record of leadership, teamwork, and delivering high impact results
• Extensive experience building enterprise grade systems/applications supporting business priorities
• Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
• Able to juggle multiple projects - can identify primary and secondary objectives, prioritize time and communicate timeline to team members
• Ability and desire to take product/project ownership
• Ability to work a flexible schedule based on department and Company needs.
• Partner with Analysts and Data Scientists on delivering reliable data that powers machine learning models for Personalized recommendations 
• Must also have broad and deep technical understanding of the technologies in this field, including but not limited to 
  • Experience in search engines like Apache Solr or Elastic Search or Vector Search. 
  • Experience in Retail Knowledge Graph.
  • Data engineering for large-scale machine learning on Cloud preferably google cloud- BigQuery, BigTable, GCS, Dataflow, Dataproc (Spark)
  • Experience in designing and running A/B Tests and analyze the Key metrics
  • Experience with programming languages- Java, JEE, Data structures.
  • Modern System Architecture Patterns.
  • Experience in designing event driven mechanisms, publish/subscribe models.
  • Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure).
  • Experience working with modern SQL / noSQL Databases.
  • Strong data management principles, around data architecture, modeling/design, data quality, security, data organization and operations.

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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.