Manager - Software Development Engineering

• Transform teams from a project mindset towards a product mindset
• Engineering leadership role (LL6) overseeing design and delivery of a complex 'ecommerce search experience' micro services ecosystem
• This team is responsible for the systems and technology powering the product discovery and other core product related experiences on ford.com and the other regional markets, as part of the wholistic Omni-Channel, global, platform Commerce team
• Expected to possess experience or at least exposure in GenAI platforms - Multi Modal RAG, Semantic search, Vector DBs, Integrate LLM models to power business use cases and lead all AI related features on ford.com
• In partnership with the principal architect, who is responsible for overall architecture & design, build and deliver a modern, greenfield open stack platform based on MACH architecture principles
• Model the use of modern software engineering practices (TDD BDD, CI/CD, Shift left, 12 factor applications, API first design language etc..) to support integration with existing Ford software products as well as external cloud-based services.
• Collaborate with Ford's Enterprise Architecture organization to rationalize technologies, further leverage current technology offerings already in use, and identify gaps/opportunities.
• Implement a talent system to review existing team capabilities (internal and external) and build and promote practices to develop a world-class software engineering team.
• Provide thought leadership for the development, structure, technology of Ford with skills in strategic planning, goal setting, processes development, budgeting, and creating opportunities for professional development within technology teams
• Strategize & work with senior leaders across Ford's engineering organization to make significant, measurable impact on a global scale by innovating and operating with an iterative, agile, and user-centric perspective

• Responsible for the evolution and delivery of next gen, AI driven search, discovery and personalisation platforms.
• Bring commerce platform engineering expertise and experience to significantly improve Ford's current capabilities and ensure these platforms can grow to meet increasing demands
• Establish a platform improvement roadmap that describes key areas of priority based on assessment of current capabilities and identifies key dependencies
• Identify and recommend related enterprise foundational technology capabilities and improvements or business model changes that should be pursued to improve our customer platform capability
• Contribute to Ford's Product Driven Organization (PDO) model by identifying improvements and areas that help to reduce dependencies and increase autonomy for teams to delivery.
• Delivery and technical leadership role with people management responsibilities
• Position is planned to expand based on growth in customer experience platform scope. Should mentor, guide & groom the engineers on the program on technology and delivery front
• Team members will be in India, US and/or Europe
• Provide engineering leadership up to 2 product lines across eCommerce platforms
• Help business partners understand our iterative development approach and focus on delivering a Minimum Viable Product (MVP) and releases through careful and deliberate prioritization

• Strong hands-on Software engineering/ programming/ solution design experience
• Should be comfortable in building next gen AI capabilities and toolsets
• Experience/Awareness of Microservices architecture, Cloud-Native architectures, Event-driven architectures, APIs, Domain-Driven Design, Public Cloud (Google Cloud), Serverless, Kubernetes, Docker, DevOps, building scalable, reliable, available solutions, and/or performance testing.
• Strong technical background with the capability of being hands-on and earn the respect and ability to mentor top individual technical talent.
• Conversant in multiple programming languages. Thorough knowledge of multi-threading, concurrency, and parallel processing concepts including scalability, performance, and consistency characteristics of a microservices driven eCommerce architecture
• Experience in Cloud Native systems, Transactional Systems, Multi-Tenancy, five-nines availability, and Containerization technologies
• Experience in collaborating and partnering with other technical domain experts such as cloud, security, SRE, and DevOps.
• Experience/awareness in building structured, semi-Structured and unstructured data stores with a good understanding of RDBMS, No-SQL databases and strong exposure to data modelling, data access patterns, data replication, active-active, polyglot persistence setup.

• Excellent communication and interpersonal skills
• Ability to work effectively in a remote/virtual work setting with other global team members
• Proven facilitation skills - able to effectively drive discussion among diverse perspectives and reach a decision or recommendation
• Proven ability to work closely with executive leadership teams
• Effectively work with cross-functional teams across the organization - inside and outside of the technology and software organization
• Ability to lead through change

Ford