Product Manager - Conversational AI & Digital Platforms

Technical Anchor

• 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

Senior Level