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Senior/Principal Product Manager – Mail Intelligence

Senior/Principal Product Manager – Mail Intelligence

CompanyYahoo
LocationUnited States
Salary$120750 – $251250
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

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.