Product Manager II

📋 Description

• 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
• Write each bet as a hypothesis with a primary metric, guardrails and a decision rule, all set
• Match the method to the traffic: A/B tests and holdouts at scale; fake doors, usability tests and
• Size tests properly, report null and negative results as plainly as wins, and make the ship
• Keep a running log of what was tested, what was learned and what changed.

🎯 Requirements

• Statistics and experiment design: hypothesis testing, significance, power and sample sizing, and
• Strong SQL, and fluency with product analytics and BI tools.
• Ability to work through messy data sets and turn them into decisions.
• Engineering fundamentals you still use: reading code, system design, APIs and data models.
• A keen eye for design, and strong UX writing.
• Clear written and verbal communication — specs and experiment readouts people can act on.