New opportunity

AI Product Manager

Billeasy · Mumbai, India

About this role

Billeasy is seeking a user-obsessed AI Product Manager to own the full product lifecycle for its fintech offerings. The role involves driving vision, roadmap, and strategy from ideation to launch while acting as the bridge between design, engineering, and business. The company is building an AI-first product team and requires a candidate who integrates AI tools into their daily workflow. Responsibilities: Define and communicate product vision and strategy; use AI tools like Claude and ChatGPT for PRD writing, user research synthesis, and competitive analysis; conduct market research and user interviews; manage the product backlog; collaborate with engineering pods; define KPIs and OKRs; ensure compliance with RBI, NPCI, and SEBI guidelines; and lead Go-To-Market strategies. Required Qualifications: 5+ years of product management experience, including at least 2+ years in fintech, payments, or financial services; proven track record of shipping B2C or B2B fintech products in India; mandatory daily usage of AI tools for professional workflows; strong analytical skills; and proficiency in Agile methodologies. Preferred Qualifications: Engineering or MBA background; experience with A/B testing and product analytics; exposure to LLM-integrated product development. Benefits: Access to Claude Pro and ChatGPT Plus, modern office environment, and a collaborative team culture.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

ClaudeChatGPTFintechSaaSProduct ManagementProduct RoadmapPRD WritingMarket ResearchCompetitive AnalysisAgileJIRAConfluenceUPIPayment GatewaysLendingKYCDigital BankingData Analytics

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • AI-Integrated Product Lifecycle Management

    The role requires embedding AI tools like Claude and ChatGPT into every stage of the product lifecycle, from initial research and competitive analysis to drafting PRDs and managing backlogs. You must demonstrate how AI-assisted workflows specifically accelerate your output and improve the quality of documentation, including mandatory AI research summaries in all PRDs.

  • Fintech Regulatory Compliance and Market Expertise

    You must navigate the complex Indian fintech landscape, specifically adhering to RBI, NPCI, and SEBI guidelines. Success depends on balancing rapid product iteration with strict regulatory requirements for payments, lending, and KYC, ensuring all product features remain compliant while driving business growth.

  • Cross-Functional Agile Leadership

    Acting as the bridge between design, engineering, and business, you are responsible for managing the product backlog and collaborating with engineering pods. You must translate high-level strategy into actionable epics and user stories while using data-driven KPIs and OKRs to align the team and measure success.

Likely challenges to think through

  • Balancing Speed with Regulatory Rigor

    The company emphasizes an 'AI-first' and 'at speed' development culture, which may conflict with the slow, deliberate nature of financial regulatory compliance. Prepare to discuss how you maintain velocity in an Agile environment without compromising the security or legal integrity required by Indian financial authorities.

  • Demonstrating Authentic AI Workflow Integration

    Because the company mandates daily AI usage, you will likely be tested on your specific prompt engineering techniques and workflow habits rather than just theoretical knowledge. Prepare to provide concrete examples of how you have used AI to synthesize complex user research or competitive data to make a specific product decision.

03

Practice your answers

Technical practice

Integrating AI into the Product Lifecycle

What to coverDescribe your specific workflow for using tools like Claude or ChatGPT in product management. Focus on how you use these tools for PRD drafting, synthesizing user research, and competitive analysis while maintaining accuracy and data privacy.

Navigating Indian Fintech Regulations

What to coverExplain how you ensure product compliance with RBI, NPCI, and SEBI guidelines. Discuss your process for staying updated on regulatory changes and how you incorporate these constraints into your product roadmap and user stories.

Managing Fintech Product Backlogs

What to coverDetail your approach to prioritizing features in a high-stakes fintech environment. Explain how you balance technical debt, regulatory requirements, and user-facing feature requests while working within an Agile framework.

Data-Driven Decision Making in Fintech

What to coverDiscuss the KPIs and OKRs you have used to measure the success of B2C or B2B fintech products. Explain how you use product analytics and A/B testing to iterate on features and improve user engagement.

Bridging Engineering and Business

What to coverDescribe your experience collaborating with engineering pods to ship products. Focus on how you translate complex business requirements into technical specifications that developers can execute effectively.

Go-To-Market Strategy for Fintech

What to coverOutline your process for leading a Go-To-Market strategy for a new fintech feature. Address how you coordinate with marketing, sales, and operations to ensure a successful launch in the Indian market.

LLM-Integrated Product Development

What to coverIf you have experience with LLM-integrated features, explain the challenges you faced regarding latency, accuracy, or user experience. If not, discuss how you would evaluate the feasibility of adding an AI-powered feature to a payment or lending product.

User Research Synthesis

What to coverExplain your methodology for conducting user interviews and synthesizing qualitative data into actionable product insights. Provide an example of how you have used AI tools to accelerate this synthesis process.

Behavioural practice

Handling Conflicting Stakeholder Priorities

What to coverDescribe a situation where you had to manage conflicting requirements from engineering, business, and compliance teams. Explain the steps you took to align stakeholders and the final outcome of the decision.

Adapting to Rapid Regulatory Changes

What to coverProvide an example of a time when a sudden change in regulatory guidelines impacted your product roadmap. How did you communicate this to your team and pivot your strategy to remain compliant?

Driving Long-Term Product Vision

What to coverShare an experience where you successfully defined and executed a long-term product vision. How did you ensure the team remained committed to this vision despite short-term operational pressures?

Overcoming Product Launch Challenges

What to coverTell us about a time a product launch did not go as planned. What was the situation, what immediate actions did you take to mitigate the impact, and what did you learn for future launches?

02

Sharpen your knowledge

Topics to prepare

  • Indian Fintech Regulatory Framework

    Deepen your understanding of RBI, NPCI, and SEBI guidelines relevant to digital payments, KYC, and lending. Exercise: Create a compliance checklist for a hypothetical UPI-based lending feature, citing specific regulatory requirements for data privacy and transaction security.

  • AI-Integrated Product Lifecycle Management

    Understand how to embed LLMs into the end-to-end PM workflow. Exercise: Map out a standard PRD creation process and identify specific prompts for Claude or ChatGPT that can accelerate user research synthesis, competitive benchmarking, and backlog prioritization.

Skills to revise

  • AI-Assisted PRD Drafting

    Demonstrate proficiency in using AI tools to generate structured, high-quality product documentation. Exercise: Draft a PRD for a new digital banking feature, ensuring it includes an 'AI Research Summary' section generated by an LLM to justify the feature's strategic value.

  • Fintech Market Analysis

    Apply analytical skills to the Indian fintech landscape. Exercise: Conduct a competitive analysis of two major Indian payment gateways using AI tools to synthesize their feature sets, pricing models, and user pain points, then present the findings as a strategic recommendation.

  • Agile Backlog Management

    Manage product backlogs effectively within an engineering pod. Exercise: Simulate a backlog grooming session where you use AI to prioritize a list of 10 features based on business value and technical complexity, then define clear acceptance criteria for the top three.

04

Your preparation checklist

  • Demonstrate an AI-Integrated PM Workflow

    Prepare a sample PRD for a hypothetical fintech feature (e.g., a new UPI-based loyalty integration) that includes an 'AI Research Summary' section. Document the specific prompts used in Claude or ChatGPT to synthesize market research, draft the user stories, and prioritize the backlog.

  • Map Fintech Regulatory Knowledge to Product Strategy

    Create a brief summary table outlining how you have navigated RBI, NPCI, or SEBI compliance requirements in past projects. Be prepared to discuss how you balance regulatory constraints with user experience when designing payment or lending products.

  • Prepare a Fintech Product Case Study

    Select a B2C or B2B fintech product you have shipped in India. Prepare a structured walkthrough covering the problem statement, your role in the lifecycle, the specific metrics (KPIs/OKRs) used to measure success, and how you managed the engineering pod during development.

  • Formulate Strategic Questions for Billeasy

    Develop thoughtful questions regarding their 'AI-first' product team structure, such as how they currently integrate LLMs into their existing offline-to-online SaaS stack or how they balance rapid iteration with the strict compliance requirements of the Indian financial sector.

AI-generated from the job information · Prepared Oct 10, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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