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Growth today comes primarily from recommendation-algorithm tuning and paid acquisition. A product-driven growth curve does not yet exist. This role turns “where is the next curve?” from an open question into a series of hypotheses that can be validated — or disproven — quickly.
AI-native product formats
New ways people consume local information
New direction validation on Scoopz
Turning vague directions into falsifiable hypotheses, then testing them fast
Handing validated directions to the Senior PM to scale
Not local vertical framework build-out — a separate team owns that; the boundary is explicit
8+ years in consumer product, including 3+ in 0→1 or new-direction work
A concrete story where data overturned your own judgment
A track record of killing a direction yourself, with clear reasoning
Strong analytics: you pull your own data, design experiments, read results
You instinctively ask “how do users solve this today?” and “what's the switching cost?”
Industry open. Consumer high-frequency products preferred (content, social, local, utility)
AI product experience not required — the methods transfer, and requiring it only shrinks the pool
Form and prioritize 3–5 testable direction hypotheses
Reach a conclusion — validated or disproven — on at least one
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Establish the process: how hypotheses get proposed, tested, and killed
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