Lead PM — Product Innovation
AI Summary
Lead PM for Product Innovation at Newsbreak, defining hypotheses and validating new product directions (e.g., AI-native formats, Scoopz) via experiments, then handing off to scale.
About this role
About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about
Why this role exists
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.
What you'll own
- 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
What we're looking for
- 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
First 90 days
- Form and prioritize 3–5 testable direction hypotheses
- Reach a conclusion — validated or disproven — on at least one
- Establish the process: how hypotheses get proposed, tested, and killed
Skills
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