You'll help grow the product through a steady cadence of experiments and feature launches. Each PM owns a business-outcome metric for one area of the product, and the roadmap that moves it.
Own a business-outcome metric for your area, plus the guardrail metrics it must not trade away.
Keep a ranked backlog of experiments and features, prioritised by expected impact (RICE, ICE or similar).
Write each bet as a hypothesis with a primary metric, guardrails and a decision rule, all set before launch.
A/B tests and holdouts at scale; fake doors, usability tests and cohort analysis at low volume.
A track record of experiments that changed a product decision.
Preferred: consumer fintech, payments or banking experience, ideally in the US.
B2C products with a growth or experimentation focus.
Statistics and experiment design: hypothesis testing, significance, power and sample sizing, and common traps such as peeking and novelty effects.
Experience: Mid-level · 3–4 years · Job type: Full-time
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