Product Manager - Data Products Sedgwick Claims Management Services, Inc.Product Manager - Data ProductsMIDefines and tracks product success metrics (e.g., adoption, usage, NPS, revenue/retention impact), represents the "voice of the client," and communicates roadmap progress, risks, and dependencies to stakeholders. Works with the Product Director to develop and maintain a product roadmap and backlog, adjust scope and prioritization, and ensure product functionality aligns with technical feasibility.
NewAssistant Store Manager O'Reilly Auto EnterprisesAssistant Store ManagerGarden City, MichiganPerform all store opening/closing duties, including performing day end procedures, verifying/securing money/deposits according to company policy, preparing bank deposits as needed, ensuring all night security lights are on, locking doors and securing building, arming/disarming security alarms, and checking/securing/locking delivery vehicle(s) parked in a secure designated area. Ensure retail customer returns and exchanges are processed in an efficient and friendly manner, refunds are issued accurately using the correct payment methods, and returned merchandise is processed or staged in the returns area correctly.
Assistant Store Manager AutoZone IncAssistant Store ManagerFenton, MIOperational Efficiency - leads company initiatives by ensuring maximum productivity, training, and retention of high-performing employees, while maintaining operational efficiency through effective store merchandising, creating a clean, organized, and visually appealing shopping environment. As permitted by state or local law, AutoZone may consider certain offenses to be relevant to positions responsible for conducting or overseeing financial transactions on behalf of AutoZone, driving company vehicles and/or supervision of minors.
Machine Learning Engineer, Senior Manager Credit Acceptance CorpMachine Learning Engineer, Senior ManagerMIRemote$184,354–$270,386 / yearThe ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements.