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Manager II, Machine Learning – Notifications Delivery Science

Pinterest

$176,924 - $364,254
Sep 3, 2025
San Francisco, CA, US • Remote, US
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Pinterest needs an Engineering Manager for the Notification Delivery Science team to improve user retention and re-engagement through relevant and timely Notifications, impacting the company’s user growth strategy.

Requirements

  • Experience working on production machine learning systems at scale, including recommendation, search, growth and/or ads systems.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.

Responsibilities

  • Manage and mentor a team of Machine Learning engineers.
  • Develop and maintain ML models that make personalized and at-scale decisions for notifications budgeting, pacing, content portfolio and intelligent delivery timing.
  • Help develop and shape Pinterest’s Notifications strategy.
  • Work closely with cross-functional teams, including product managers, engineers, data scientists and product marketing managers.
  • Develop and maintain ML models that make personalized and at-scale decisions for notifications budgeting
  • Develop and maintain ML models that make personalized and at-scale decisions for notifications pacing
  • Develop and maintain ML models that make personalized and at-scale decisions for notifications content portfolio and intelligent delivery timing.

Other

  • Ph.D. with 5+ years or Masters with 6+ years of industry experience working on production machine learning systems at scale, including recommendation, search, growth and/or ads systems.
  • 2+ years experience on managing ML engineering teams with 5+ engineers.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.
  • In-Office Requirement Statement:
  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  • US based applicants only
  • Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.