Product Manager II, Growth - Notifications

Title: Product Manager II, Growth - Notifications Location: Remote - USA

As a Product Manager II on the Growth team within the Consumer & Business group, you'll own the end-to-end notifications platform spanning push, in-app, and email channels. This team drives user engagement and retention by delivering the right message to the right user at the right time. You'll define the strategy for how Coinbase communicates with millions of customers, leveraging ML-powered relevance to increase activation, re-engagement, and lifetime value.

What you'll do:

• Own the product roadmap for Coinbase's notifications platform across push, in-app, and email channels, balancing infrastructure investment with growth experimentation.
• Drive measurable improvements in user engagement, activation, and retention through personalized, ML-powered notification strategies.
• Partner with Engineering, Data Science, and Marketing to build relevance models that improve targeting precision and reduce notification fatigue.
• Lead experimentation programs (A/B and multivariate testing) to validate notification timing, content, and channel selection at scale.
• Shape the long-term platform architecture to support new channels, audience segmentation, and real-time personalization capabilities.

Required Skills and Experience:

• 5+ years of product management experience with at least 2 years focused on growth, engagement, or lifecycle products at scale (1M+ users).
• Proven track record shipping ML-powered personalization or relevance features, with demonstrated ability to partner with data science teams on model development and evaluation.
• Deep expertise in experimentation methodology, including designing A/B tests, defining success metrics, and interpreting results to inform roadmap decisions.
• Experience owning a multi-channel messaging or notifications platform (push, in-app, email), including deliverability, opt-in optimization, and frequency management.
• Fluency in SQL and data analysis tools, with a demonstrated habit of self-serving insights to drive product decisions without waiting for analyst support.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.