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Senior/Principal Product Manager – Mail Intelligence
Company | Yahoo |
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Location | United States |
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Salary | $120750 – $251250 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of experience in product management roles focused on technical systems.
- Proven expertise in managing software products involving arbitration systems, ranking algorithms, and Ad targeting signals.
- Solid foundation in statistics, including hypothesis testing and predictive modeling.
- Strong knowledge of AI/ML concepts, including recommendation systems, and ranking models.
- Ability to deliver products that balance business impact with exceptional user experiences.
- Exceptional communication skills to explain technical concepts to diverse audiences.
- Collaborative team player who thrives in fast-paced environments.
- Proven ability to align cross-functional teams and stakeholders around strategic goals.
- Self-driven, proactive mindset with excellent critical thinking skills.
Responsibilities
- Develop and execute the product vision and roadmap for Mail Arbitration and Monetization Targeting Systems.
- Translate business and product goals into clear, actionable technical requirements.
- Partner with data and analytics teams to create Customer Retention Models that optimize revenue.
- Collaborate with engineers and researchers to design and deploy AI/ML models for effective targeting and monetization.
- Define and track KPIs to measure monetization, user engagement, and system performance.
- Leverage the capabilities of the Mail Intelligence Platform to address user pain points and unlock business opportunities.
- Champion a user-first approach, ensuring personalization and contextual relevance remain core to all solutions.
Preferred Qualifications
- Strong understanding of privacy regulations (e.g., GDPR, CCPA) and their implications on data usage for monetization.
- Expertise in developing and optimizing recommendation systems (collaborative filtering, content-based, hybrid approaches).
- Experience with cloud platforms (GCP, AWS, Azure) and API/microservices integration.
- Proficiency in financial revenue forecasting and modeling.