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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.
Job Responsibility
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
Requirements
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