Product Manager

Job Title: Product Manager Company: EXL Service Job Category: SAP SD Roles & Responsibilities: Job Description: Short Description for Internal Candidates We are looking for a technically strong Manager – AI Product Experience to own the design and delivery of AI\-powered product features for the Accounts Receivable and Order\-to\-Cash domain. The role combines hands\-on AI engineering capability with product management ownership, requiring the incumbent to work closely with data scientists, software engineers, and Finance stakeholders to ship intelligent AR automation that reduces DSO, improves cash application accuracy, and enhances collections intelligence. KEY RESPONSIBILITIES Technical Leadership * Collaborate with client Finance technology teams and AR operations leads to identify AI\-driven automation opportunities and co\-define solution requirements. * Present Generative AI use cases, proof\-of\-concept demos, and ROI narratives to both technical and non\-technical client audiences. * Act as a trusted product and AI advisor to clients on the technical, ethical, and operational considerations of deploying AR AI solutions. * Support Sr. AVP in first\-engagement solutioning, client workshops, and RFP/RFI responses for AR transformation engagements. Product Management \& Delivery Responsibilities: Short Description for Internal Candidates We are looking for a technically strong Manager – AI Product Experience to own the design and delivery of AI\-powered product features for the Accounts Receivable and Order\-to\-Cash domain. The role combines hands\-on AI engineering capability with product management ownership, requiring the incumbent to work closely with data scientists, software engineers, and Finance stakeholders to ship intelligent AR automation that reduces DSO, improves cash application accuracy, and enhances collections intelligence. KEY RESPONSIBILITIES Technical Leadership * Collaborate with client Finance technology teams and AR operations leads to identify AI\-driven automation opportunities and co\-define solution requirements. * Present Generative AI use cases, proof\-of\-concept demos, and ROI narratives to both technical and non\-technical client audiences. * Act as a trusted product and AI advisor to clients on the technical, ethical, and operational considerations of deploying AR AI solutions. * Support Sr. AVP in first\-engagement solutioning, client workshops, and RFP/RFI responses for AR transformation engagements. Product Management \& Delivery Work Location: Haryana, India Availability: Full time

QUALIFICATIONS Education \& Experience (9–12 Years) * B.Tech or M.Tech in Computer Science, Software Engineering, Data Science, or a related technical discipline. * 9–12 years of total experience, with at least 4–5 years in AI/ML product engineering and 3\+ years of Finance technology experience with strong AR/O2C domain exposure. * 3–4 years of hands\-on experience with Generative AI and Large Language Models: prompt engineering, LLM fine\-tuning, and building applications using LangChain, LlamaIndex, or RAGAS. * Hands\-on experience with deep learning frameworks (PyTorch, TensorFlow) and applying ML models to finance classification, prediction, and anomaly detection use cases. * Working experience with Agentic AI concepts: Autonomous Agents, AutoGen, CrewAI, LangGraph; ability to design and deploy multi\-step AI agent workflows for AR automation. * Experience in ML Engineering and MLOps: model deployment, performance monitoring, versioning, and retraining pipelines (MLflow, SageMaker, Azure ML). * Strong software engineering skills in Python; experience building AI\-powered APIs, integrations, and cloud\-native microservices. * Proven track record of delivering AI product features from ideation through production deployment in an Agile environment; CSPO or equivalent certification preferred. QUALIFICATIONS Education \& Experience (9–12 Years) * B.Tech or M.Tech in Computer Science, Software Engineering, Data Science, or a related technical discipline. * 9–12 years of total experience, with at least 4–5 years in AI/ML product engineering and 3\+ years of Finance technology experience with strong AR/O2C domain exposure. * 3–4 years of hands\-on experience with Generative AI and Large Language Models: prompt engineering, LLM fine\-tuning, and building applications using LangChain, LlamaIndex, or RAGAS. * Hands\-on experience with deep learning frameworks (PyTorch, TensorFlow) and applying ML models to finance classification, prediction, and anomaly detection use cases. * Working experience with Agentic AI concepts: Autonomous Agents, AutoGen, CrewAI, LangGraph; ability to design and deploy multi\-step AI agent workflows for AR automation. * Experience in ML Engineering and MLOps: model deployment, performance monitoring, versioning, and retraining pipelines (MLflow, SageMaker, Azure ML). * Strong software engineering skills in Python; experience building AI\-powered APIs, integrations, and cloud\-native microservices. * Proven track record of delivering AI product features from ideation through production deployment in an Agile environment; CSPO or equivalent certification preferred. Qualifications: Bachelor's/Master's Key Skills: Billing Salary: Not disclosed