As the Senior Product Manager for the AI Foundation Team, you will lead the engineering-focused roadmap of our AI scale hosting platform. The role owns the strategy for the backbone of our machine learning operations—from the AI Portal and SDKs used for experimentation to the massive-scale hosting infrastructure that serves our customers. This is not a typical product role; it requires a deep, authentic technical understanding of the ML lifecycle. It builds and enables the tools that empower our Data Scientists, ML Scientists, and Model Activation Engineers to build, deploy, and scale models efficiently. It sits at the intersection of complex infrastructure (Seldon, Kubernetes, GCP Vertex AI) and strategic business agility, driving the adoption of open-source models and next-gen AI capabilities. This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.
We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include:
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™ Best Buy is an equal opportunity employer. Application deadline: Minimum of 5 days from the posting date.