Product Manager

Job Description: Product Manager

As a Product Manager at Ford Motor Company, you will be instrumental in developing digital products across digital, web, and mobile web platforms. A core focus of this role involves leading the implementation of conversational AI solutions, which includes designing engaging conversational flows, intents, and entities. You will architect multi-turn dialogues and meticulously manage contexts to ensure natural, human-like interactions within these AI systems.

Collaboration is key; you will work closely with cross-functional teams including product managers, data scientists, and other engineers. This collaboration is vital for defining requirements and seamlessly integrating AI solutions. Your role also involves continuous research and evaluation of emerging AI technologies and trends to drive innovation and recommend state-of-the-art solutions. Additionally, you will provide application support and manage migrations.

You will be part of a balanced product team, working to define, design, develop, and deploy front-end client development frameworks such as React, GraphQL, Adobe Experience Manager, Salesforce, and DialogFlow. Detailed documentation of conversation flows, ML training data, fine-tuning processes, and design guidelines will also be part of your responsibilities. A solid understanding of chatbot architecture (NLU, dialogue management, response generation) is essential, as is experience with deep learning/NLP frameworks like TensorFlow, PyTorch, Hugging Face, and spaCy. Familiarity with cloud platforms (GCP preferred, AWS/Azure a plus) and knowledge of contact center AI and integrations with telephony platforms (Genesys, Avaya, Twilio) are advantageous.

Responsibilities

Your responsibilities include delivering valuable, working, tested, quality software, released at market speed. You will collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables, focusing on a business and user value-driven approach with a continuous improvement and innovative mindset. Championing an Agile mindset and Software Craftsmanship practices, you will contribute to and lead the agile team for quality deliverables.

This role requires you to research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery. You will participate in and champion highly collaborative practices such as Full Stack eXtreme Programming (XP), Pair Programming, Test-Driven Development (TDD), DevOps, Continuous Integration and Continuous Deployment (CI/CD), and Security practices (SAST/DAST). The use of monitoring, logging, and tracing tools (Splunk, Dynatrace, etc.) is also integral. You will 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.

Qualifications

Preferred qualifications include a B.E., B.Tech, or M.C.A. You should possess a minimum of 10+ years of experience in a hands-on technical role involved in developing, implementing, and supporting software applications. Specific technical experience includes:

• 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.

Key skills/competency

• Product Management
• Conversational AI
• Natural Language Processing (NLP)
• Agile Methodologies
• React.js
• GraphQL
• Microservices
• Cloud Platforms (GCP, AWS, Azure)
• Large Language Models (LLMs)
• Test-Driven Development (TDD)