Product Manager - Conversational AI & Digital Platforms

Product Manager • Responsibilities: • Develop digital products across Digital, web, and mobile web platforms. • Lead implementation of conversational AI solutions, including designing engaging conversational flows, intents, and entities. • Architect multi-turn dialogues and manage contexts to ensure natural, human-like conversations. • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and integrate AI solutions seamlessly. • Continuously research and evaluate emerging AI technologies and trends to drive innovation and recommend state-of-the-art solutions. • Provide application support and manage migrations. • Work on a balanced product team to define, design, develop, and deploy front-end client development frameworks like React, GraphQL, Adobe Experience Manager, Salesforce and DialogFlow. • Document conversation flows, ML training data, fine-tuning processes, and design guidelines. • Solid understanding of chatbot architecture (NLU, dialogue management, response generation). • Experience with deep learning/NLP frameworks (TensorFlow, PyTorch, Hugging Face, spaCy). • Familiarity with cloud platforms (GCP preferred, AWS/Azure a plus). • Knowledge of contact centre AI and integrations with telephony platforms (Genesys, Avaya, Twilio) is advantageous. • Deliver valuable, working, tested, quality software, released at market speed. • Collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables geared towards a business and user value-driven approach with a continuous improvement and innovative mindset. • Champion an Agile mindset and Software Craftsmanship practices, contributing to and leading the agile team for quality deliverables. • Research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery. • Participate in and champion highly collaborative practices, including: • Full Stack eXtreme Programming (XP) • Pair Programming • Test-Driven Development (TDD) • DevOps • Continuous Integration and Continuous Deployment (CI/CD) • Security practices (SAST/DAST) • Use of monitoring, logging, and tracing tools (Splunk, Dynatrace, etc.) • Engage in Agile practices including, but not limited to, Stand-ups, backlog grooming, sprint demos, and journey mapping. • On-call, off-hours, and weekend support is required on a rotational basis. • Preferred Qualifications: • B.E. / B.Tech / M.C.A. • Minimum 10+ years of experience in a hands-on technical role engaged in developing, implementing, and supporting software applications. • 4+ years of work experience with the Spring Platform (Spring MVC, Spring Boot, Spring JDBC, Spring Cloud). • 4+ years of work experience with front-end client development frameworks like React, GraphQL, Adobe Experience Manager, and Salesforce. • 3+ years of work experience with Microservice architecture and SOAP or REST APIs. • 2+ years of Cloud-Native Development experience with the Pivotal Cloud Foundry Platform or similar AWS/Azure. • 3+ years of work experience with front-end client development frameworks (Angular/React). • 3+ years of work experience with Agile project involvement and Software Craftsmanship. • Experience with Large Language Models (LLMs), including their development, fine-tuning, and deployment. • Proficiency in Java programming is a significant advantage. • Proficiency with other AI/ML frameworks and libraries such as TensorFlow or PyTorch is a plus. • Exposure to LLMs (OpenAI, Gemini, LLaMA, Claude) for advanced conversational AI use cases. • Knowledge of speech technologies (ASR, TTS) and voice bot deployment. • Exposure to other conversational AI platforms (Amazon Lex, IBM Watson Assistant, Microsoft Bot Framework, Rasa). • Familiarity with speech-to-text (STT), text-to-speech (TTS) engines and voice-based assistants. • Prior experience in customer support automation projects. • Experience with various testing types including Unit, integration, regression, user testing, and load testing (specifically TDD with JUnit and Selenium). • Experience with code quality tools (e.g., 42Crunch, SonarQube, Checkmarx, etc.). • Experience with build and CI/CD tools (e.g., GitHub, Jenkins, Maven, Gradle, etc.) • Relevant certifications in Conversational AI, NLP, or Google Cloud AI are a plus. Experience Level Mid Level