Stable Money

FinTech

ProductIntern

₹2–3L ~AI est. Bengaluru, India INTERNSHIP
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Product Intern at Stable Money. Skills: Product strategy, User research, AI augmentation. Own full stack product work. Run user research”

What You'll Achieve.

Ship product; Figure out solutions; Make AI work

Industry & Context.

FinTech
Problems you'll solve

Root cause analysis; Troubleshooting

Eligibility Requirements

No hand-holding

What They're Looking For.

Must Have

6+ months internship, AI coding tools, Write queries, Read code, Build user numbers, Support partner evaluations, Leverage numbers

Nice to Have

AI-augmented tasks

What You'll Do.

Own full stack product work

Perform UX walkthroughs

Prototype features with AI

Pull data with queries

Have engineering conversations

Make business decisions

Support partner evaluations

Improve product with numbers

Augment tasks with AI

Code with AI assistance

Run scenario analysis with AI

Escalate issues early

How You'll Work.

Team & Collaboration

Cross-functional teams

Process & Methodology

Roadmap planning

Full Job Description

## Description About Stable Money Stable Money is India’s leading fixed investment platform. It is a marketplace which helps customers discover & invest in high-quality fixed-income products such as Fixed Deposits (FDs), RD, Bonds, Credit Cards, Mutual Funds from trusted institutions. Stable Money has 30 lac+ trusted investors, 2000cr+ bookings since inception & is backed by marquee investors such as Z47, Lightspeed, Fundamentum, Matrix Partners, RTP Global to name a few.    Full Stack PM Intern | 6+ months | Bengaluru Own the full stack of product work — Not just write PRDs, run user research, define metrics, and do your own UX walkthroughs. No hand-holding; you follow through end-to-end. Get technical, not theoretical — use AI coding tools to prototype features, write queries to pull your own data, and read enough code to have a real conversation with engineering. Make business decisions, not just product ones — build user numbers, support partner evaluations, and levregae numbers to improve product. AI-first, always — every task you touch is AI-augmented by default. You can code with AI assistance, run scenario analysis with it, and critically evaluate its outputs. You know the current toolstack without being onboarded to it. Bias for ownership — you define the problem before solving it, escalate early, and don't wait to be assigned next steps. Ambiguity is your default environment. Show us what you've built — credentials matter less than proof. Apply with something you've shipped, figured out, or made work using AI — side project, prototype, or otherwise.

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