Manager, Retail Experience Engineering

Job Location:  Bengaluru, India   Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger.   We’re   a company of people who like to forge our own path and leave the world better than we found it. Who   believe   that what makes us different makes us   stronger.   So   add your voice. Make an impact. Find your fit — and your future.   Levi Strauss & Co. is transforming retail technology through AI-driven engineering, modern platforms, and innovative associate and customer experiences. We are seeking a Manager, Retail Experience Engineering to lead a high-performing team delivering scalable, secure, and intelligent retail solutions across our global markets. This role requires a blend of technical depth, retail domain expertise, engineering leadership, and product delivery experience. The ideal candidate is an AI-first engineering leader who can leverage modern technologies, engineering practices, and business acumen to accelerate innovation while maintaining operational excellence.

Engineering Leadership Lead, mentor, and develop a high-performing team of Java, middleware, data, integration, and AI engineers. Foster a culture of ownership, innovation, continuous learning, and engineering excellence. Drive adoption of modern engineering practices and establish technical standards across the organization. Product Delivery & Execution Partner with Product Owners and business stakeholders to prioritize work, shape solutions, provide estimation and architectural guidance, influence product roadmaps, and ensure delivery aligns with business objectives. Own engineering delivery across the software lifecycle, balancing quality, scalability, technical debt, and operational readiness. Collaborate closely with stakeholders to influence product and technology decisions and drive successful business outcomes. AI-First Engineering & Automation Champion an AI-first approach to software development, problem solving, and operational efficiency. Drive adoption of AI-enabled SDLC practices including specification-driven development, iterative development, agent-assisted engineering workflows, evaluation frameworks, automated testing, deployment automation, and continuous improvement. Identify opportunities to improve developer productivity, accelerate delivery, and optimize operating costs through automation and AI-driven workflows. Agile, DevOps & Operational Excellence Define and evolve engineering and SDLC strategies, leveraging enterprise platforms and AI-enabled delivery practices. Champion Agile methodologies, DevOps principles, CI/CD automation, observability, and incremental value delivery. Drive engineering quality through automated testing, release governance, monitoring, and production support excellence. Identify and resolve technical bottlenecks across applications, infrastructure, build pipelines, and deployment processes. Stakeholder Management Collaborate effectively with Product, Architecture, Security, Infrastructure, Data, and Business teams across global regions. Represent the engineering organization in planning, governance, and enterprise initiatives. Establish strong stakeholder relationships and communicate effectively across technical and non-technical audiences.

Technical Expertise Strong foundation in software engineering, distributed systems, system architecture, networking, cloud platforms, and modern application design. Demonstrated ability to solve complex business and technical challenges using an AI-first mindset. Experience with AI orchestration, agent-based workflows, Model Context Protocol (MCP), and modern AI engineering practices. Experience implementing AI-assisted SDLC processes spanning intake management, prioritization, planning, development, testing, deployment, monitoring, and support. Strong understanding of cloud-native architectures, CI/CD, DevOps tooling, infrastructure automation, observability, and