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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on user engagement and lifecycle strategies, leveraging ML-powered personalization and A/B testing methodologies to optimize multi-channel notification platforms.
Highest-signal resume keywords
Product Management ExperienceML-Powered PersonalizationA/B Testing MethodologySQL ProficiencyMulti-Channel Messaging
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Roadmap OwnershipUser Engagement StrategiesLifecycle Product ManagementExperimentation MethodologyData AnalysisModel DevelopmentSuccess Metrics DefinitionNotification Platform ManagementReal-Time PersonalizationGenerative AI Oversight
Soft Skills
CollaborationCommunication
Tools & Technologies
Data Analysis Tools
Industry Keywords
User ActivationUser RetentionTargeting PrecisionNotification FatigueAudience Segmentation
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Own the product roadmap for Coinbase's notifications platform across push, in-app, and email channels
- 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 A/B and multivariate testing programs to validate notification timing, content, and channel selection at scale
- Shape long-term platform architecture supporting new channels, audience segmentation, and real-time personalization capabilities
- Define the strategy for communicating with millions of Coinbase customers
Requirements
What you’ll need- 5+ years of product management experience
- 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
- 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
- Experience owning a multi-channel messaging or notifications platform, including deliverability, opt-in optimization, and frequency management
- Fluency in SQL and data analysis tools
- Ability to self-serve insights to drive product decisions
- Responsible use of generative AI with human oversight
Benefits
Comp & perks- Equity eligibility
- Bonus eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Quarterly in-person working sessions (“surges”)
- Reasonable accommodation support
- Free compatible screen reader for applicants who need screen-reading technology
