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- Location
- Bengaluru
- Level
- Mid-level
- Experience
- 1–2 years
- Pay
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- Posted
- 2 months ago
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- Open · checked 11h ago
On a laptop, OpenRoles fills Stable Money's form from your resume — you check it and press Submit. Sign up free now and it's ready when you get there.
Skills mentioned in the posting
- A/B testing
About the role
Join the Product org as an APM on Platform growth initiatives - this includes most-viewed pages on the Stablemoney (eg. App Homepage, Passbook and specialized pages for Events). You’ll be the shipping engine — writing PRDs, running experiments, unblocking design & eng, and taking the small-but-frequent bets that compound into a materially better product.
About Stable Money
Stable Money is India’s leading fixed investment platform. It is a marketplace which helps customers discover and 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 and is backed by marquee investors such as Z47, Lightspeed, Fundamentum, Matrix Partners, RTP Global to name a few
Role: Associate Product Manager — Platform products
Roles & Expectations
Sprint-level execution on the roadmap: PRDs, wireframe reviews, engg. grooming, launch checklists, post-launch monitoring.
The A/B testing pipeline on both surfaces: hypothesis writing, variant scoping, results readouts, ship / kill / iterate calls.
The weekly metrics readout: DAU/MAU on both surfaces, module CTRs, cross-sell CTRs and drop-off funnels.
0→1 exploration: 2–3 small bets a quarter on new homepage modules, new passbook visualizations, or new cross-sell surfaces the PM-II hasn’t gotten to yet.
Craft-level ownership of the details: Copy, empty states, error states, loading, animation feel.
Voice-of-the-user pipe: read every Playstore / App Store review on these surfaces, every relevant CS ticket, and close the loop weekly.
Preferred Candidate
1–2 years as a Product Manager at a consumer app (fintech, e-commerce, food delivery, ride-hail, edtech, gaming) - you have shipped features to real users.
Data fluency - you can read data of Funnels, Experiments and can infer data
Claude native - can use Claude to read data
Fluent with designing A/B experiments and conclude from data
Bias for shipping - you’d rather ship 5 bets a month and kill 4 than ship 1 perfect bet a quarter.
Write clearly. PRDs, weekly readouts, retros — all crisp, all short.
Comfortable in ambiguity - Platform products get everything thrown at them; you have to prioritize and seque