Senior Manager, Search Platforms & AI

USA GPC Genuine Parts Company; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible Work Policy

Job summary

Genuine Parts Company seeks an engineering leader to drive AI-powered search across digital platforms. You will define the vision, guide architecture, and lead multiple teams to deliver scalable, reliable search capabilities that boost revenue and customer productivity.

This role requires deep technical expertise and strong stakeholder collaboration while advancing a unified commerce strategy. Remote-friendly with options to work from Duluth or Atlanta offices, you will grow talent, mentor

Qualifications

• Degree in computer science/engineering or equivalent experience.
• 10+ years of software engineering delivery experience including 3+ years in a leadership role.
• Proven track record leading large cross-functional teams.

Responsibilities

• Define and execute a vision for AI-powered search improving conversion and revenue.
• Architect and implement platforms supporting unified commerce strategies.
• Lead engineering teams ensuring scalability, reliability, and performance.
• Drive modernization of search infrastructure using cloud-native and AI technologies.
• Build and scale search science capabilities including relevance tuning and personalization.

Skills

Leadership

Software engineering

AI/GenAI

Search technology

Cloud computing

APIs & microservices

Education

Bachelor's degree in Computer Science or Engineering

Tools

Elasticsearch

Apache Solr

Google Cloud Retail Search

Vector search

ML ecosystems

Job description

Company Background

Established in 1928, Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. 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 63,000 teammates. Learn more at genpt.com.

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 Lead the strategy, engineering, and applied AI capabilities that power search, discovery, and product finding platforms across digital channels. Drive measurable business outcomes through relevance optimization, search platform modernization, machine learning, GenAI, and agentic commerce capabilities. 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. They 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

• Partner with Product and cross-functional GPC teams to define and execute a vision for AI-powered search that improves conversion, revenue, and customer productivity.
• Implement the technology platforms architecture and execute on roadmap to support build out the new commerce related capabilities needed for the unified commerce strategy.
• Lead the engineering teams responsible for search platform architecture, scalability, reliability, and performance.
• Drive modernization of search infrastructure leveraging cloud-native and AI-enabled technologies.
• Build and scale Search Science capabilities including relevance tuning, ranking models, semantic search, vector search, recommendations, and personalization.
• Responsible for delivery and support of the platform Lead multiple pods and manage engineering managers.
• 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 remotely.

Desired Qualifications & Experiences

• Degree in computer science/engineering or equivalent experience 10+ years’ experience in software engineering delivery (including 3+ 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.
• Experience managing 25+ FTE team of internal and extended delivery resources.
• Experience in leading leaders.
• Ability to effectively share technical information, communicate technical issues and solutions to all levels of business.
• Ability to attract, motivate and retain world-class IT talent.
• Able to juggle multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timeline to team members.
• Experience in understanding of Information Retrieval, Search Relevance, Ranking Systems, Recommendations, and Personalization.
• Must also have broad and deep technical understanding of the technologies in this field, including but not limited to Familiarity with search technologies such as Elasticsearch, Apache Solr, Google Cloud Retail Search, vector search platforms, and ML ecosystems.
• Strong knowledge of APIs, microservices, distributed systems, and data engineering.
• Experience in GenAI, LLMs, Graph RAG, agentic workflows, and conversational commerce.
• Experience with semantic search, vector databases, embeddings, Retrieval-Augmented Generation (RAG), and LLM-powered experiences.
• 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.

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.

Since 1928, GPC has set the standards for performance and value for our customers and our stakeholders. Today, we’re proud to say we’re the largest global auto parts network and a leading industrial parts distributor, one that offers rewarding careers that combine small company feel with a global scale. Our strengths are in the relationships we build and the value we deliver by merging local expertise with a global force.