Forward Deployed Software Engineer, Warehouse Innovation

Job Location CINCINNATI GENERAL OFFICES Job Description Information Technology at Procter & Gamble is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT expertise to deliver innovative, tech-focused business models and capabilities for our 65 iconic, trusted brands. From Day 1, you’ll be trusted to dive right in, take the lead, use your initiative, and build billion-dollar brands that help make everyday activities easier and make the world a better place! Our company offers purposeful work that will take your career places you never envisioned, in creative workspaces where innovation thrives and where your technical expertise is recognized and rewarded. The Opportunity This engineering role sits at the intersection of software development and the core of P&G’s award winning North American supply chain. Embedded within the warehouse innovation team, you will work directly with stakeholders to deeply understand operational problems, design algorithms and systems from the ground up, and build full-stack applications that ship to production. Every product shipped in North America will pass through one of your systems. Daily work could encompass any of the following: [... source excerpt omitted ...] e with high visibility and long-term impact. This role reports to a Senior Software Engineer on a 4-person Forward Deployed Engineering team, backed by a 10-person platform team. You will receive hands-on mentorship while owning meaningful work from day one. What You’ll Do 70% Development: write production-quality Python backend algorithms and services and React/Vue frontend applications; design data models, APIs, integrations, and algorithms suited to complex warehouse workflows. 30% Consultation: engage directly with warehouse site teams and the platform engineering organization to define requirements, validate solutions, and ensure delivery fits operational realities. Job [... source excerpt omitted ...] ngagement with occasional on-site warehouse visits) Preferred: Familiarity with Kubernetes or containerized deployment environments Experience integrating AI/ML components into production systems (e.g., forecasting models, routing optimization, LLM-powered features) Background or coursework in supply chain, logistics, or industrial engineering Experience in warehouse, fulfillment, or manufacturing environments Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are depe