Technology Product Manager (AI Product)

Essential Duties & Responsibilities

• Translate product and business needs into AI-driven insights and intelligent workflows
• Act as a bridge between product, domain experts, AI Center of Excellence, Engineering and customer-facing teams
• Support adoption and continuous improvement of AI-powered product capabilities
• Ai Prototyping & Experimentation
• Collaborate with Product Management, UX/CX and Engineering teams to prototype and validate GenAI/ML solutions
• Participate in experimentation cycles (LLMs, RAG, NLP, predictive models)
• Provide structured feedback to refine models and improve output quality
• Lead validation, review, and tuning of outputs from LBA AI solution
• Identify gaps, edge cases, and inconsistencies in invoice analysis
• Collaborate with Domain Experts and AI Operations teams to improve accuracy, reasoning, and compliance alignment
• Drive continuous feedback loops to enhance model performance
• Review and contribute to AI addendum sections within LBA, ensuring clarity, accuracy, and alignment with product capabilities
• Provide hands-on support for LBA customers with data residency and compliance requirements, ensuring solutions are implemented within these constraints
• Partner with Sales, Product Managers, and SMEs to respond to customer queries and solution deep-dives
• Support and participate in pre-sales demos, showcasing AI capabilities and product value
• Help translate AI functionality into clear customer-facing narratives and use cases
• Support compliance, transparency, and responsible AI usage in customer-facing documentation
• Collaborate with Sales and legal teams to ensure AI features are correctly represented
• Evaluate AI outputs for accuracy, relevance, and business impact
• Define and track success metrics and performance indicators
• Drive improvements in agentic workflows and decision quality
• Cross-functional Collaboration
• Partner with product, engineering, domain experts, sales, and operations teams
• Communicate insights and recommendations clearly to stakeholders
• Support training, documentation, and adoption of AI-driven solution

Qualifications

• Bachelor’s degree in engineering, computer science, data/analytics, or product management., or related field.
• Master’s degree preferred.
• 2+ years of experience in AI/ML products, analytics, or product-facing roles.
• Experience in legal billing, invoice review, or compliance domains is a strong plus.
• Exposure to enterprise AI/GenAI solutions preferred.

Skills & Competencies

• Strong understanding of AI/GenAI concepts (LLMs, RAG, NLP, ML) in applied settings.
• Experience working with AI/ML-driven products or analytics workflows.
• Ability to evaluate outputs and identify patterns, risks, and improvement areas.
• Strong communication skills, especially in customer-facing and cross-functional settings.
• Familiarity with Python, SQL, or data tools (working knowledge preferred).
• High attention to detail with strong problem-solving ability.
• Ability to operate in a fast-paced, collaborative, and evolving environment.