NewsBreak is the content intelligence platform shaping the future of the content economy. Founded in 2015, NewsBreak serves over 40 million monthly active users with a highly personalized local news and information platform powered by AI, recommendation systems, and ad tech. NewsBreak is Great Place to Work-certified and recognized by Fast Company on the Top Workplaces for Innovators list and achieved unicorn status in 2021. This role is based in Mountain View, California, United States and focuses on measurement and incrementality for NewsBreak's hyper-local product to optimize growth.

Role overview: Design, execute, and read out geo holdouts and other incrementality tests. Develop DMA-level LTV modeling and geo-tiered bidding. Define the objective function and decision rules for the agentic bidding system. Establish success criteria and power requirements for product experiments across paid and organic growth.

What we're looking for: Hands-on incrementality and geo-experiment experience is required; you have designed and run them. 4–8 years in marketing or growth analytics. Fluent with MMPs, clear-eyed about attribution limits, and experienced with LTV modeling. Strong SQL and Python skills. Preferred: analytics support for $20M+ in annual spend. Industries: gaming, e-commerce, subscription, and fintech.

First 90 days: Audit spend by optimization event; build the DMA-level value table; launch the first geo holdout (starting with brand terms and retargeting audiences); deliver a geo-tiered bidding proposal.

Compensation: The US base pay range for this full-time positio

NewsBreak is the content intelligence platform shaping the future of the content economy. Founded in 2015, NewsBreak serves over 40 million monthly active users with a highly personalized local news and information platform powered by AI, recommendation systems, and ad tech. NewsBreak is Great Place to Work-certified and recognized by Fast Company on the Top Workplaces for Innovators list and achieved unicorn status in 2021. This role is based in Mountain View, California, United States and focuses on measurement and incrementality for NewsBreak's hyper-local product to optimize growth.

Role overview: Design, execute, and read out geo holdouts and other incrementality tests. Develop DMA-level LTV modeling and geo-tiered bidding. Define the objective function and decision rules for the agentic bidding system. Establish success criteria and power requirements for product experiments across paid and organic growth.

What we're looking for: Hands-on incrementality and geo-experiment experience is required; you have designed and run them. 4–8 years in marketing or growth analytics. Fluent with MMPs, clear-eyed about attribution limits, and experienced with LTV modeling. Strong SQL and Python skills. Preferred: analytics support for $20M+ in annual spend. Industries: gaming, e-commerce, subscription, and fintech.

First 90 days: Audit spend by optimization event; build the DMA-level value table; launch the first geo holdout (starting with brand terms and retargeting audiences); deliver a geo-tiered bidding proposal.

Compensation: The US base pay range for this full-time positio