Stable Money
FinTech
ProductIntern
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
Root cause analysis; Troubleshooting
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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