Technical Product Manager

Technical Product Manager – BFSI & AI Location: New Delhi, India (On-site) Employment Type: Full-time Experience: 4–8 years Industry: BFSI / FinTech / Enterprise AI / B2B SaaS About QubeLabs QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry. Our platform combines Conversational AI, Agentic AI, workflow automation, proprietary language models and enterprise intelligence to improve enterprise efficiency, productivity and customer experience. Our flagship product, QubeLabs Workmate, is purpose-built for banks, NBFCs, MFIs, wealth management firms, insurance companies and fintechs across India and Europe. Role Overview We are looking for a Technical Product Manager – BFSI & AI to translate complex financial-services workflows and customer problems into clear product requirements and scalable technology capabilities. You will work closely with the founders, Head of AI, engineering and business teams to drive the complete product lifecycle—from customer discovery and requirements definition to development, testing, deployment and continuous improvement. This is a high-ownership role for someone who combines an understanding of BFSI business processes with strong product thinking and the ability to collaborate effectively with technical teams. Key Responsibilities 1. Product Management & Requirements Define product requirements, roadmaps and feature priorities for QubeLabs Workmate. Translate customer needs and business problems into PRDs, functional specifications, user stories and acceptance criteria. Design user journeys, process flows, business rules and expected product behaviour, including edge cases and exceptions. Prioritize features based on customer value, business impact, technical feasibility and strategic objectives. Drive features from concept through development, testing, release and post-launch improvement. 2. BFSI Workflows & Customer Discovery Develop a deep understanding of workflows across banking, wealth management, stock broking, insurance, NBFCs and financial advisory. Engage with relationship managers, wealth advisors, operations teams, contact centres and business leaders to identify pain points and automation opportunities. Translate financial-services processes into scalable product capabilities. Support customer discovery, product demonstrations, pilots, POCs and validation of new features. Incorporate customer feedback and market insights into product priorities and the roadmap. 3. AI Product Development Understand the practical capabilities and limitations of Generative AI, LLMs, AI Agents, RAG, Voice AI and workflow automation. Define requirements for AI assistants, intelligent agents and AI-powered business workflows. Work with the Head of AI to translate model capabilities, technical dependencies and constraints into product specifications. Define expected AI behaviour, business rules, exception handling and measurable business outcomes. Identify where AI is appropriate versus deterministic workflows and conventional business logic. Understand the capabilities of QubeLabs' proprietary Vectro Series language models and their application to BFSI use cases. 4. Product & Engineering Collaboration Work with AI and engineering teams to clarify requirements, assess feasibility and resolve implementation challenges. Understand APIs, integrations, data flows, system dependencies and enterprise technology environments. Participate in sprint planning, technical discussions, product reviews and architecture reviews where relevant. Validate delivered features against requirements and lead functional and user acceptance testing. Identify delivery risks, technical trade-offs and dependencies to ensure timely, high-quality releases. Prototype or validate product concepts when required. 5. Product Strategy & Market Intelligence Identify new product opportunities across financial services. Evaluate customer needs, competitive products and emerging AI capabilities. Develop industry-specific use cases and product propositions. Collaborate with leadership to align product investments with customer demand, business objectives and long-term product strategy. Experience & Qualifications 4–8 years of experience in Product Management, Business Analysis, BFSI Technology, FinTech or enterprise software. Mandatory experience in BFSI, FinTech or financial-services technology. Experience with enterprise products and collaboration with engineering or technology teams. Working knowledge of at least one financial-services domain, such as banking, wealth management, stock broking, capital markets, insurance, NBFCs or financial advisory. Experience in customer discovery, requirements gathering and product documentation. Exposure to AI/Generative AI products is preferred but not mandatory. Bachelor's degree from a recognized university; an MBA or equivalent qualification in product management or business is preferred. Required Skills Product Management Requirements gathering, PRDs and functional specifications. User stories, acceptance criteria and workflow design. Roadmapping, prioritization and product lifecycle management. Customer discovery, stakeholder management and product validation. BFSI Domain Knowledge Understanding of financial-services workflows, business processes and enterprise requirements. Ability to engage with business users and translate operational challenges into technology solutions. Technical Understanding Working knowledge of AI/Generative AI, LLMs, AI Agents, RAG and Conversational AI. Understanding of APIs, system integrations, data flows and cloud-based enterprise applications. Ability to collaborate with AI and engineering teams on technical feasibility, dependencies and implementation trade-offs. You do not need to be an AI engineer, but you must be comfortable understanding technical concepts and translating them into practical product requirements. What Success Looks Like Clear, implementation-ready product requirements and specifications. Timely delivery of prioritized product features and roadmap milestones. Successful launch and adoption of high-value AI-powered BFSI workflows. Effective support for enterprise pilots, POCs and customer validation. Strong alignment between customer needs, product priorities, AI capabilities and engineering execution. Measurable improvements in customer productivity, operational efficiency and product engagement. Why Join QubeLabs? Build next-generation Enterprise AI Systems for financial services. Work directly with founders and senior leadership in a high-ownership role. Shape AI-powered products across banking, wealth management, brokerage and insurance. Work at the intersection of BFSI, AI, enterprise intelligence and workflow automation. Collaborate with teams developing QubeLabs' proprietary Vectro Series language models. Contribute to enterprise markets across India and Europe. Equal Opportunity QubeLabs is an equal opportunity employer committed to building a diverse and inclusive workplace where innovation thrives. Skills:- Product Management, Product Strategy, BFSI, Artificial Intelligence (AI), Generative AI, SaaS, User story, Large Language Models (LLM) and Agentic AI